KR20080026243A - System for evaluating data quality management maturity - Google Patents

Abstract

A system for evaluating data quality management maturity is provided to evaluate data quality on the basis of accuracy, consistency, usefulness, accessibility, timeliness and security to confirm data quality management maturity by data quality standards, thereby improving the data quality. A system evaluates data quality through six data quality standards including accuracy, consistency, usefulness, accessibility, timeliness and security and five maturity degrees including an introduction stage, a standardization stage, an integration stage, a quantification stage and an optimization stage. The system includes an information input unit(735), an information verification unit(740), an accuracy quality evaluating module(700), a consistency quality evaluating module(705), a usefulness quality evaluating module(710), an accessibility quality evaluating module(715), a timeliness quality evaluating module(715) and a security quality evaluating module(720).

Description

System for Evaluating Data Quality Management Maturity}

1 is a diagram illustrating a framework structure for data quality management according to the present invention.

2 is a diagram illustrating a configuration of an enterprise data quality management system according to an embodiment of the present invention.

3 is a diagram illustrating the concept of data quality criteria for evaluating the maturity level for data quality management according to an embodiment of the present invention.

4 is a diagram illustrating a data quality management process for evaluating maturity for data quality management according to an embodiment of the present invention.

5 is a diagram illustrating data quality management maturity according to an embodiment of the present invention.

6 illustrates the interrelationships between data quality management processes for evaluating maturity for data quality management in accordance with an embodiment of the present invention.

7 is a diagram illustrating a configuration of a data quality management maturity evaluation system according to an embodiment of the present invention.

8 illustrates the interrelationships between data quality management processes for evaluating accuracy quality control maturity for data quality management in accordance with an embodiment of the present invention.

9 is a diagram illustrating a configuration of an accuracy quality control maturity evaluation system for evaluating accuracy quality evaluation maturity according to an embodiment of the present invention.

10 is a diagram illustrating a process of evaluating first-level accuracy quality evaluation maturity according to an embodiment of the present invention.

11 is a diagram illustrating a process of evaluating the second-level accuracy quality assessment maturity according to an embodiment of the present invention.

FIG. 12 is a diagram illustrating a process of evaluating third-level accuracy quality evaluation maturity according to an embodiment of the present invention.

13 is a diagram illustrating a process of evaluating the fourth-level accuracy quality evaluation maturity according to the method of the present invention.

14 is a diagram illustrating a process of evaluating the fifth-level accuracy quality assessment maturity according to the embodiment of the present invention.

15 illustrates the interrelationships between data quality management processes for evaluating consistency quality management maturity for data quality management in accordance with an embodiment of the present invention.

16 is a diagram illustrating a configuration of a consistency quality management maturity evaluation system for evaluating consistency quality assessment maturity according to an embodiment of the present invention.

FIG. 17 is a diagram illustrating a process of evaluating first stage consistency quality evaluation maturity according to an embodiment of the present invention.

18 is a diagram illustrating a process of evaluating the second-stage consistency quality evaluation maturity level according to an embodiment of the present invention.

19 is a diagram illustrating a process of evaluating the third-stage consistency quality evaluation maturity level according to an embodiment of the present invention.

20 is a diagram illustrating a process of evaluating a fourth-stage consistency quality evaluation maturity level according to an embodiment of the present invention.

21 is a diagram illustrating a process of evaluating the fifth step consistency quality evaluation maturity according to the method of the present invention.

22 illustrates the interrelationships between data quality management processes for evaluating availability quality control maturity for data quality management in accordance with an embodiment of the present invention.

FIG. 23 is a diagram illustrating a configuration of a usability quality management maturity evaluation system for evaluating usability quality evaluation maturity according to an embodiment of the present invention.

24 is a diagram illustrating a process of evaluating first step availability quality assessment maturity according to an embodiment of the present invention.

FIG. 25 is a diagram illustrating a process of evaluating second stage usefulness quality evaluation maturity according to an embodiment of the present invention.

FIG. 26 is a diagram illustrating a process of evaluating maturity of a third step usability quality assessment according to an embodiment of the present invention.

FIG. 27 is a diagram illustrating a process of evaluating maturity of a fourth step usability quality assessment according to an embodiment of the present invention.

28 is a diagram illustrating a process of evaluating the fifth step usefulness quality evaluation maturity according to the embodiment of the present invention.

FIG. 29 is a diagram illustrating a correlation between data quality management processes for evaluating accessibility quality control maturity for data quality management according to an embodiment of the present invention.

30 is a diagram illustrating a configuration of an access quality management maturity evaluation system for evaluating access quality assessment maturity according to an embodiment of the present invention.

FIG. 31 is a diagram illustrating a process of evaluating maturity of first step access quality assessment according to an embodiment of the present invention. FIG.

32 is a diagram illustrating a process of evaluating a maturity level 2 access quality assessment according to an embodiment of the present invention.

33 is a diagram illustrating a process of evaluating maturity level 3 of accessibility quality according to an embodiment of the present invention.

34 is a diagram illustrating a process of evaluating maturity level 4 in accessibility quality according to an embodiment of the present invention.

35 is a diagram illustrating a process of evaluating a fifth stage of access quality assessment maturity according to an embodiment of the present invention.

36 illustrates the interrelationships between data quality management processes for evaluating timeliness quality control maturity for data quality management in accordance with an embodiment of the present invention.

37 is a view showing the timeliness quality control maturity evaluation system configuration for evaluating timeliness quality evaluation maturity according to the embodiment of the present invention.

FIG. 38 is a diagram illustrating a process of evaluating maturity of first stage timeliness quality evaluation according to an embodiment of the present invention. FIG.

39 is a diagram illustrating a process of evaluating the second stage timeliness quality evaluation maturity according to the embodiment of the present invention.

40 is a diagram illustrating a process of evaluating the third stage timeliness quality evaluation maturity according to the embodiment of the present invention.

FIG. 41 is a diagram illustrating a process of evaluating maturity level 4 in timeliness according to an embodiment of the present invention. FIG.

42 is a diagram illustrating a process of evaluating the fifth stage of timeliness quality evaluation maturity according to the embodiment of the present invention.

45 is a diagram illustrating a process of evaluating first-level security quality assessment maturity according to an embodiment of the present invention.

FIG. 46 is a diagram illustrating a process of evaluating second stage security quality assessment maturity according to an embodiment of the present invention.

47 is a diagram illustrating a process of evaluating maturity level 3 of security quality assessment according to an embodiment of the present invention.

48 is a diagram illustrating a process of evaluating maturity level 4 of security quality assessment according to an embodiment of the present invention.

FIG. 49 is a diagram illustrating a process of evaluating maturity level 5 of security quality assessment according to an embodiment of the present invention. FIG.

<Description of main parts of drawing>

700: Accuracy Quality Assessment Module 705: Consistency Quality Assessment Module

710: usability quality assessment module 715: accessibility quality assessment module

720: timeliness quality assessment module 725: security quality assessment module

730: storage medium 735: information input means

740: information verification means

The present invention relates to a data quality management maturity evaluation system for evaluating data quality management maturity for data that is being managed throughout the enterprise based on the data quality management framework in accordance with data quality criteria and data quality management process correlation.

In order to increase the efficiency of work, computerization of many of the work around us is extensive, and this trend is expected to continue in the future. In particular, the rapid development of computational technology not only provides various functions necessary for the performance of work, but also improves existing business processing methods in a more effective direction by incorporating new technologies.

The application of such a computer system is applied not only to a simple repetitive task but also to a core task, and in some organizations, it is impossible to process a task without the help of a computer.

As the dependence of computing increases in the execution of work, most of the data generated during the work processing is stored in the computer system, and the data necessary for the work processing are also supplied through the computer system.

Accumulation of data through computerized systems not only makes it easy to share vast amounts of data in various sectors as needed, but also facilitates processing to desired forms. However, due to the increase in the complexity of work and the increase in the throughput, the type and amount of data to be managed through computerization are increasing exponentially, so a systematic approach to data management is required.

However, computational expectations are increasing so that there is no time for systematization of management, and the difficulty of data management is increasing as the fragmentary system development continues. In addition, financial support for systematization of data management is insufficient, and technical limitations exist, which pushes investment priorities. Therefore, in the past, there was a perception that data provided through computing was always accurate, but recently, the opposite is occurring.

Many users who use computer systems complain about the data provided through the computer, and there are cases where problems occur due to incorrect data around us. The negative view of users' data is roughly as follows.

(1) It is not accurate and cannot be trusted.

(2) The necessary information is missing.

(3) It is not the desired information or the desired form.

(4) The timing of delivery is too slow.

(5) I think it's somewhere, but I can't get it on request.

(6) I'm anxious that the information will flow out or disappear at once.

Expectations are disappointing as strong beliefs in computing data are broken and negatively affect perceptions of computing systems. Bad data or lack of data not only interferes with the performance of the job, but sometimes has serious consequences. In particular, errors in monetary data can be devastating to organizations.

The difficulty of data management is that it is complex and complex. As the system is developed at the same time, the data is scattered among several systems, which makes it difficult to maintain the consistency of the distributed data. In addition, since many people use data, data errors are likely to occur due to incorrect operation. It also needs to be updated to the latest state, but it can be missed in the update process and sometimes misused without the true meaning of the data. Computational applications remain static until they have been developed once and until requirements change, but data is created, changed, and destroyed from time to time. Therefore, careful management is a target.

However, the quality control of the conventional computer system is intermittently performed only if an error occurs in the computer application, and the quality control of data generated, modified, and destroyed through the computer system includes no problems.

The purpose of the present invention to solve the above problems is to introduce the data quality that is managed throughout the enterprise, including six data quality criteria including accuracy, consistency, usability, accessibility, timeliness and security, and the introduction step (or the first step). ), A system for evaluating through five maturity levels: a formalization step (or a second step), an integration step (or a third step), a quantification step (or a fourth step), and an optimization step (or a fifth step). .

According to the present invention, at least one maturity level accuracy quality evaluation information is input through an accuracy maturity level accuracy level according to a certain maturity level accuracy data quality criterion, or a predetermined maturity level according to a consistency data quality standard according to a predetermined maturity level. Enter at least one level of maturity quality assessment information through a step-by-step consistency quality assessment interface or at least one level of maturity step-by-step availability quality assessment information via a predetermined maturity step-by-step usability data quality criteria Access to at least one maturity level through the accessibility quality assessment interface, or enter a predetermined maturity level according to the accessibility data quality criteria. Input timely quality assessment information at least one or more maturity stages through a quality maturity level or timeliness quality assessment interface according to a predetermined maturity level according to quality criteria, or secure data quality at a predetermined maturity level Information input means for inputting security quality assessment information of at least one maturity stage through a security quality assessment interface according to a predetermined maturity level according to a criterion; Verifying the output corresponding to the accuracy data quality assessment information for a given maturity level, or verifying the output corresponding to the consistency data quality assessment information for a predetermined maturity level, or outputting the usefulness data quality assessment information for a predetermined maturity level. Verifying, or verifying, the output corresponding to the accessibility usability data quality assessment information at a given maturity level, or verifying the output corresponding to the quality assessment information at a given maturity level, or securing security usability data at a predetermined maturity level. Information verification means for verifying a product corresponding to the quality evaluation information; Providing the accuracy quality evaluation interface according to the accuracy data quality criteria of the maturity level to the information input means, receiving and reading the accuracy quality evaluation information of at least one maturity level inputted through the accuracy quality evaluation interface and correcting each maturity level An accuracy quality evaluation module for checking whether the data quality standard is reached and evaluating the accuracy of the data quality to the verified maturity level when the output for the accuracy quality evaluation information for each maturity level is verified through the information verification means ; Providing the consistency quality evaluation interface according to the consistency data quality criteria for each maturity level as the information input means, and receiving and reading the consistency quality assessment information for each one or more maturity levels inputted through the consistency quality assessment interface for consistency in each maturity level. A consistency quality evaluation module for checking whether the data quality standard is reached and evaluating the maturity level for the consistency of the data quality to the verified maturity level when the output for the consistency quality evaluation information for each maturity level is verified through the information verification means ; The information input means provides the usability quality evaluation interface according to the usability data quality criteria according to the maturity level, and receives and reads the usability quality evaluation information of at least one maturity level input through the usability quality evaluation interface, thereby providing usability for each maturity level. A usability quality evaluation module that checks whether a data quality standard is reached and evaluates the maturity level of the usefulness of the data quality as the verified maturity level when the output for the usefulness quality evaluation information for each maturity level is verified through the information verification means ; Providing the accessibility quality evaluation interface according to the accessibility data quality criteria for each maturity level as the information input means, and receiving and reading at least one accessibility quality assessment information for each maturity level input through the accessibility quality evaluation interface to access each step of maturity level Access quality assessment module that checks whether the data quality standards have been reached, and if the output for the accessibility quality evaluation information according to the maturity level is verified through the information verifying means, the maturity level of the accessibility of the data quality is evaluated to the verified maturity level. ; Providing the timeliness quality evaluation interface according to the timeliness data quality criteria for each stage of maturity as the information input means, and receiving and reading timeliness quality assessment information of at least one maturity stage inputted through the timeliness quality assessment interface to timeliness for each maturity stage Checking whether the data quality criteria have been reached, and if the output for the timeliness quality evaluation information for each maturity level is verified through the information verification means, timeliness quality evaluation for evaluating the maturity level for the timeliness of the data quality to the verified maturity level. module; And providing the security quality evaluation interface according to the security data quality standard according to the maturity level to the information input means, and receiving and reading security quality assessment information of at least one maturity level input through the security quality evaluation interface. By checking whether the security data quality standard of each maturity level has been reached, and if the output of the security quality evaluation information of each maturity level is verified through the information verification means, the maturity level of the security of the data quality is verified. It is characterized by comprising a; security quality evaluation module to evaluate with.

According to an exemplary embodiment of the present invention, the accuracy quality evaluation interface according to the maturity level may include a query for checking whether a required item for data quality evaluation target data is defined and whether a data range managed through the data quality management framework is defined. A first step accuracy quality evaluation interface including at least one query, or a query for checking whether a pre- and post-check of essential items for data quality evaluation data is performed, and the authenticity of data quality evaluation data can be checked. A second query comprising at least one query for determining whether a scheme exists, a query for checking whether the data to be evaluated for data quality conforms to a standard, and a query for checking whether an attribute value is defined for the data to be evaluated for data quality. Step Accuracy Quality Assessment A third that includes at least one query for confirming that an error date on the interface or data for data quality evaluation can be traced and responded to; and a query for confirming whether the data owner is responsible for data quality evaluation. Step Accuracy A quality assessment interface, or a query that confirms the development and evaluation of accuracy metrics for the data subject to data quality assessment, a query that confirms that there is a knowledge trace for resolving data errors, and a data quality assessment target. A fourth level accuracy quality assessment interface comprising at least one query to determine whether to perform performance management of the data owner, or at least one query to determine whether to perform error root cause removal for the data subject to data quality assessment. 5th step accuracy At least one gender quality evaluation interface is preferably included.

According to the implementation method of the present invention, the consistency quality evaluation interface according to the maturity level, the query to confirm whether the duplication of data quality evaluation target data is identified, the query to confirm whether the data quality evaluation target data identifier is clear, and the data quality evaluation target A first-stage consistency quality assessment interface including at least one query for confirming that the data flow is identified, or a query for verifying that validation and metabolism of duplicate data among data quality assessment target data is performed, and data quality assessment target data A second level of consistency, including at least one query to verify that referential integrity is applied for the query, a query to verify that the data subject to data quality conforms to the standards, and a query to verify that the data flow to validate the data quality is subject to evaluation Query to determine whether duplicate data at the enterprise level is identified for the interface or data to be evaluated, query to confirm the enterprise-wide data flow to the data to be evaluated, and data to be evaluated. At least one query that checks whether the cause of error can be traced and responded to, whether the standard data linkage to the data quality evaluation data can be grasped, and whether the data quality evaluation data is managed by the owner is included. At least one query to check whether the knowledge of error resolution of the data quality evaluation target data is accumulated and a query to check whether the performance of each owner of the data quality evaluation target data is measured. include A fourth step consistency quality evaluation interface or a query for checking whether a root cause of duplicate data is removed from data quality evaluation data, a query for checking whether reference integrity for data quality evaluation data is optimized, and data quality And at least one fifth step consistency quality assessment interface comprising at least one query to confirm that the assessment target data flow metabolism is optimized.

According to an embodiment of the present invention, the usability quality evaluation interface according to the maturity level includes at least one query for checking whether a data quality evaluation target data requirement is defined, and a query for checking whether a problem corresponding to the data quality evaluation target data requirement is identified. The above-mentioned first step usability quality evaluation interface or query to confirm whether or not to formalize data quality evaluation target data requirements, query to confirm whether to formalize structure management to respond to data quality evaluation target data requirements, and data quality evaluation target data A second-level usability quality assessment interface that includes at least one query that verifies the systematic response to the requirement, and a query that verifies that the data utilization for data quality assessment targets is checked; A query to verify that the data is being coordinated, a query to confirm that the company has established an enterprise-wide linkage of the data requirements for data quality evaluation, a query to confirm that a company-wide data structure has been established for the data to be evaluated, and the data to be used for data quality evaluation. A third-step usability quality assessment interface comprising at least one query to verify that the resource is distributed to improve the quality of the query, or a query to verify that knowledge of the data quality assessment target data requirements has been accumulated; A fourth step usability quality assessment interface comprising at least one query to determine whether the knowledge of the structural correspondence of the data has been accumulated; Inside / outside A fifth level of usability quality assessment interface that includes at least one query for identifying and reflecting trends, a query for accepting industry best embodiments, and a query for optimizing and managing data utilization for data quality assessment. It is preferable to include at least one.

According to an embodiment of the present invention, the accessibility quality evaluation interface according to the maturity level includes a query for checking whether distributed data among data quality evaluation target data can be inquired, a query for checking whether a data quality evaluation target user view structure is provided, A first-stage accessibility quality evaluation interface including at least one query to check whether data quality evaluation target user data is utilized, or a query to check whether a structure in which distributed data is integrated among data quality evaluation target data exists; At least one query for confirming whether to provide a standardized configuration of the user screen to be evaluated, a query for supporting a manual for utilizing data of a user for data quality evaluation, and a query for confirming that a data sharing environment for data quality evaluation is provided. this A second step of accessibility quality evaluation interface that includes or includes a query to confirm whether the distributed data among the data quality evaluation data is integrated throughout the enterprise, a query to check whether the meta data of the data quality evaluation target is shared with the user, and a data quality evaluation user. At least one query that checks whether the view supports an integrated environment, one that checks to provide an active user view for data quality evaluation, and one that checks whether it provides an environment for value creation through the data for data quality evaluation. A fourth step including at least one query including a third step of accessibility quality evaluation interface, or a query for checking whether to use measurement indicators of the data quality evaluation target user view; Step Accessibility Quality Assessment At least one or more fifth-level accessibility quality evaluation interface including at least one query to determine whether to optimize a user view for data quality evaluation and at least one query to confirm utilization of a data quality to user view. It is preferable to make.

According to an exemplary embodiment of the present invention, the timeliness quality evaluation interface according to the maturity level includes a query for checking whether a non-functional requirement for data quality evaluation data is defined and a query for checking whether schedule management for data quality evaluation data is performed. And a first step timeliness quality assessment interface comprising at least one query for identifying a problem with the non-functional requirements for the data subject to data quality assessment, or for identifying a non-functional requirement for the data subject to data quality assessment. A second stage timeliness quality assessment interface comprising at least one query, a query to determine whether to manage a data flow cycle to be evaluated for data quality, and at least one query to systematically correspond to non-functional requirements for the data to be evaluated for quality of data; In addition Queries to verify non-functional requirements for data subject to data quality assessment, Queries to manage data flow cycles across data for data quality assessment data, and Non-intelligent requirements for data quality assessment data A third-step timeliness quality assessment interface that includes at least one query that verifies that an expert is used to respond to the query, or a query that verifies that knowledge of non-functional requirements for data quality assessment data is accumulated; A fourth step timeliness quality assessment interface including at least one query to confirm that monitoring is performed using target data measurement indicators, or a query to identify and apply technical trends for data quality assessment target data;The target for the query to determine if the optimization of the data stream cycle a fifth step timeliness Quality interface including at least one or more preferably comprises at least one.

According to an embodiment of the present invention, the security quality assessment interface according to the maturity level, the query to check whether there is a security control for the data quality evaluation data, and whether to perform the basic level of identification and authentication of the data quality evaluation data A first-level security quality assessment interface comprising at least one query to confirm, and at least one query to confirm that a backup plan for the data subject to data quality evaluation is established, or a recovery plan for an incident that corresponds to the data subject to data quality assessment At least one query for confirming that the system is established, a query for confirming the establishment of guidelines and procedures related to data security for data quality evaluation, and a query for selecting an organization related to data security for data quality evaluation, and performing work separation. The second step boy including more than A third-level security comprising at least one query that determines whether to perform a security audit on the data quality assessment interface or data subject to data quality assessment, and a query that confirms whether to perform vulnerability analysis and actions on the data subject to data quality assessment. A fourth level security quality assessment interface that includes at least one query that determines whether to perform an assessment of the security level of the data subject to data quality assessment, or an advanced level of data to be evaluated. And at least one fifth step security quality assessment interface comprising at least one query to confirm that identification and authentication are performed.

According to an embodiment of the present invention, the accuracy quality evaluation module, when the first step accuracy quality evaluation information input from the information input means through the first step accuracy quality evaluation interface is verified through the information verifying means, The degree of maturity of the accuracy of the data to be evaluated is evaluated in a first step (or introduction step), and the second level accuracy quality evaluation information inputted through the second level accuracy quality evaluation interface is input from the information input means. When verified through the information verification means, the maturity level of the accuracy of the data quality evaluation target data is evaluated in a second step (or a formalization step), and the information input means is input through the third level accuracy quality evaluation interface. If the third level accuracy quality evaluation information is verified through the information verifying means, The maturity level of the accuracy of the data to be evaluated is evaluated in the third step (or integration step), and the fourth level accuracy quality evaluation information inputted through the fourth level accuracy quality evaluation interface is input from the information input means. When the information is verified through the information verifying means, the maturity level of the accuracy of the data quality evaluation target data is evaluated in a fourth step (or quantification step), and the information input means is input through the fifth level accuracy quality evaluation interface. When the fifth level accuracy quality evaluation information is verified through the information verifying means, it is preferable to evaluate the maturity level of the accuracy of the data quality evaluation target data in the fifth step (or the optimization step).

According to the implementation method of the present invention, if the first step consistency quality evaluation information input through the first step consistency quality evaluation interface from the information input means is verified through the information verifying means, The maturity level of the consistency of the data subject to data quality evaluation is evaluated in a first step (or introduction step), and the second step consistency quality evaluation information input through the second step consistency quality evaluation interface is input from the information input means. When the information is verified through the verification means, the maturity level of the consistency of the data quality evaluation target data is evaluated in a second step (or a formalization step), and the information input means is input through the third level consistency quality evaluation interface. When the third step consistency quality evaluation information is verified through the information verifying means, The maturity level of the consistency of the data to be evaluated is evaluated in the third step (or integration step), and the fourth level consistency quality evaluation information inputted through the fourth level consistency quality evaluation interface is input from the information input means. When the information is verified through the information verifying means, the maturity degree of the consistency of the data quality evaluation target data is evaluated in a fourth step (or quantification step), and the information input means is input through the fifth step consistency quality evaluation interface. When the fifth step consistency quality evaluation information is verified through the information verifying means, it is preferable to evaluate the maturity level of the consistency of the data quality evaluation target data in the fifth step (or the optimization step).

According to the exemplary embodiment of the present invention, the usefulness quality evaluation module is further configured to, when the first stage usefulness quality evaluation information inputted from the information input means through the first stage usefulness quality evaluation interface is verified through the information verifying means, The first stage (or introduction stage) of maturity of the usefulness of the data quality evaluation target data is evaluated, and the second stage usefulness quality evaluation information inputted through the second stage usefulness quality evaluation interface is input from the information input means. When the information is verified through the information verification means, the maturity of the usefulness of the data quality evaluation target data is evaluated in a second step (or a formalization step), and the information input means is input through the third step usability quality evaluation interface. When the third stage usefulness quality evaluation information is verified through the information verifying means, The maturity level of the usefulness of the data for data quality evaluation target data is evaluated in the third stage (or integration stage), and the fourth stage usefulness quality evaluation information inputted through the fourth stage usefulness quality evaluation interface is input from the information input means. When the information is verified through the information verification means, the maturity level of the usefulness of the data quality evaluation target data is evaluated in a fourth step (or quantification step), and the information input means is input through the fifth step availability quality evaluation interface. When the fifth step usefulness quality evaluation information is verified through the information verifying means, it is preferable to evaluate the maturity level of the usefulness of the data quality evaluation target data in the fifth step (or an optimization step).

According to an embodiment of the present invention, the accessibility quality evaluation module, when the first step accessibility quality evaluation information input through the first step accessibility quality evaluation interface from the information input means is verified through the information verifying means, The first stage (or introduction stage) of the maturity level of accessibility to the data quality evaluation target data is evaluated, and the second stage accessibility quality assessment information inputted through the second stage accessibility quality assessment interface is input from the information input unit. When the information is verified through the verification means, the maturity level of the accessibility to the data quality evaluation target data is evaluated in a second step (or a formalization step), and the information input means is input through the third level accessibility quality evaluation interface. When the third stage accessibility quality evaluation information is verified through the information verifying means, The maturity level of the accessibility of the data to be evaluated for data quality evaluation is evaluated in the third stage (or integration stage), and the fourth stage accessibility quality evaluation information inputted through the fourth stage accessibility quality evaluation interface is input from the information input means. When the information is verified through the information verification means, the maturity level of the accessibility to the data quality evaluation target data is evaluated in the fourth step (or quantification step), and the information input means is input through the fifth step accessibility quality evaluation interface. When the fifth step accessibility quality evaluation information is verified through the information verifying means, it is preferable to evaluate the maturity level of the accessibility to the data quality evaluation target data as the fifth step (or the optimization step).

According to an embodiment of the present invention, the timeliness quality evaluation module is further configured to, when the first stage timeliness quality evaluation information input from the information input means through the first step timeliness quality evaluation interface is verified through the information verifying means, The maturity level of the timeliness of the data quality evaluation target data is evaluated in the first stage (or introduction stage), and the second stage timeliness quality evaluation information inputted through the second stage timeliness quality evaluation interface is input from the information input unit. When verified through the information verification means, the maturity degree of timeliness of the data quality evaluation target data is evaluated in a second stage (or a formalization stage), and the information input means is input through the third stage timeliness quality evaluation interface. When the third stage timeliness quality evaluation information is verified through the information verifying means, The maturity level of timeliness of the data to be evaluated for data quality evaluation is evaluated in a third stage (or integration stage), and the fourth stage timeliness quality evaluation information inputted through the fourth stage timeliness quality evaluation interface is input from the information input means. When verified through the information verification means, the maturity degree of timeliness of the data quality evaluation target data is evaluated in a fourth step (or quantification step), and the information input means is input through the fifth step timeliness quality evaluation interface. When the fifth stage timeliness quality evaluation information has been verified through the information verifying means, it is preferable to evaluate the maturity level for the timeliness of the data quality evaluation target data in the fifth stage (or an optimization stage).

According to the embodiment of the present invention, the security quality evaluation module, the first step security quality evaluation information input from the information input means via the first step security quality evaluation interface is verified through the information verification means When the data quality evaluation target data maturity level is evaluated in a first step (or introduction step), the second step security inputted through the second step security quality evaluation interface by the information input means. When the quality evaluation information is verified through the information verifying means, the maturity level of the security for the data quality evaluation target data is evaluated in a second step (or a formalization step), and the third step security quality in the information input means. When the third level security quality evaluation information input through the evaluation interface is verified through the information verification means, Evaluate the maturity level of the security for the data to be evaluated in the third step (or integration step), and the fourth level security quality evaluation inputted through the fourth level security quality evaluation interface from the information input means. When the information is verified through the information verifying means, the maturity level of the security of the data quality evaluation target data is evaluated in a fourth step (or quantification step), and the fifth step security quality evaluation interface in the information input means. When the fifth step security quality evaluation information inputted through the information verification means is verified, it is preferable to evaluate the maturity level of the security of the data quality evaluation target data as the fifth step (or an optimization step).

Hereinafter, with reference to the accompanying drawings and description will be described in detail the operating principle of the preferred embodiment of the present invention. However, the drawings and the following description shown below are for the preferred method among various methods for effectively explaining the features of the present invention, the present invention is not limited only to the drawings and description below. In addition, in the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. Terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to intentions or customs of users or operators. Therefore, the definition should be made based on the contents throughout the present invention.

In addition, preferred embodiments of the present invention to be carried out below are provided in each system functional configuration to efficiently describe the technical components constituting the present invention, or system functions that are commonly provided in the technical field to which the present invention belongs. The configuration will be omitted, and described mainly on the functional configuration to be additionally provided for the present invention. If those skilled in the art to which the present invention pertains, it will be able to easily understand the function of the components that are conventionally used among the omitted functional configuration not shown below, and also the configuration omitted as described above The relationship between the elements and the components added for the present invention will also be clearly understood.

In addition, the following examples will be used to properly modify the terms so that those skilled in the art to clearly understand the key technical features of the present invention to clearly understand, thereby the present invention This is by no means limited.

As a result, the technical spirit of the present invention is determined by the claims, and the following examples are one means for efficiently explaining the technical spirit of the present invention to those skilled in the art to which the present invention pertains. It is only.

1 is a diagram illustrating a framework structure for data quality management according to the present invention.

In more detail, in FIG. 1, data quality management objects are classified and defined as data (Data Value), data structure (Data Hierarchy), data management process (Data Management Process), and the like. (User), Database Administrator (115) (Database Administrator; DBA), Modeler (110) (Modeler), Data Administrator (105) and Chief Information Officer (CIO) After classifying and defining the data quality management framework, each data quality management entity manages a data quality management object corresponding to each data, data structure, and data management process. Those skilled in the art to which the present invention pertains may refer to and / or modify this drawing 1 to determine the data quality management framework. It will be possible to infer an implementation method for defining the data quality management subject to the characteristics of each database operating institution, and the data quality management framework structure is not limited to the implementation method shown in FIG.

In the data quality management framework shown in FIG. 1, the data quality management subject represents a subject according to a data quality management perspective according to the present invention. For example, a subject managing the database in a general view on the data quality management framework. Corresponds to the Chief Information Officer (100) (CIO), the subject managing the database in a conceptual view on the data quality management framework corresponds to the data management officer 105 (DA), the data quality management The subject managing the database in a logical view on the framework corresponds to the modeler 110, and the subject managing the database in the physical view on the data quality management framework corresponds to the database manager (DBA). Data quality management framework The subject managing the database from an operational point of view will correspond to the user 120.

The chief information officer 100 (CIO) of the data quality management entities on the data quality management framework is a quality management entity corresponding to the highest layer on the data quality management framework, and the data management is generalized in terms of the database. , Data management policies and support, and coordination of issues between data managers.

The data management officer 105 (DA) of the data quality management entities in the data quality management framework is a quality management entity that is lower than the CIO layer in the data quality management framework. From the conceptual perspective, the database establishes and operates standards development and configuration management, verification and standardization procedures, integrates enterprise data models, organizes each data requirement, and supports functional data management (Functional Data Management (FDA)). Characterized in that.

A database manager (DBA) of the data quality management entities on the data quality management framework is a quality management entity that is lower than the data management officer 105 (DA) layer on the data quality management framework, and logically manages the database. From this point of view, the data requirements and issues of each functional area are coordinated, integrated, and data modeling is performed based on the business requirements of the functional area, and the data standard is applied.

In the data quality management framework, the user 120 among the data quality management entities is a quality management entity in the lowest (or lower database manager (DBA)) layer on the data quality management framework. Utilizes data sources, operational data, and analytical data, and further requests for additional requirements for the data and increases the utilization of the data.

In the data quality management framework, among the data quality management objects, the data refers to computerized data used for achieving the vision or goal of the database operator and the enterprise, or data necessary for computerization, and the data refers to the data. Standard data managed by the data manager 105 on the quality management framework, model data managed by the modeler 110 on the data quality management framework, and management managed by a database manager (DBA) on the data quality management framework. Data, and business data managed by the user 120 on the data quality management framework.

In the data quality management framework, the data structure of the data quality management object is a shape and a frame in which the data is stored in the database, and the structure is changed according to the point of view of handling the data. ) Views (e.g. forms, reports, screens, forms, etc.), models (e.g., outlines, concepts, references, logic, physics), database files, the data structure is the data quality management The conceptual data model and data reference model managed by the data management officer 105 on the framework, the logical data model managed by the modeler 110 on the data quality management framework, and the database manager on the data quality management framework. Physical data model and database, the data quality management program Characterized in that it comprises a user view (User View) and the like managed by the user 120 on the framework.

In the data quality management framework, at least one quality management entity included in the data quality management framework may be configured such that the data management process among the data quality management targets may stably maintain and improve the quality of the data and the data structure. A process of linking the data quality control data to the data quality management target includes not only the phenomenological value of the data but also the structural value. And a data standard management process corresponding to the data management officer 105 (DA) on the data quality management framework. And a requirements management process, a data model management process and a data flow management process corresponding to a database manager (DA) on the data quality management framework, a database management process corresponding to a database manager (DBA) on the data quality management framework, And a data utilization management process corresponding to the user 120 on the data quality management framework.

The standard data managed by the data management officer 105 (DA) on the data quality management framework is used for terms, domains, codes, and other data related elements used on an information system to which the data quality management framework is applied. It refers to standard related data that is defined and used in common format and contents. It is an essential element to secure data quality of the information system. By defining and managing standard data, it prevents inconsistency and data error and understands the data. In addition, it is characterized in that it is possible to implement a single, standardized information system at the institutional or corporate enterprise level, and to efficiently perform data integration.

Here, the management object of the standard data is characterized in that it comprises a standard word dictionary, standard domain dictionary, standard term dictionary, standard code and data standard elements.

According to the implementation method of the present invention, the standard word dictionary for managing the standard data is a dictionary that defines words of the smallest unit that is used in a business or an institution and has a certain meaning. By convention, the same word is used in different meanings (for example, when you take over assets in terms of "argument", "where you give and receive", or when you use one word). It is desirable to prevent problems such as using various meanings (eg, "processors").

Here, it is preferable that the management criteria for the standard word dictionary of the standard data management object include standardity, referability, generality, representativeness, and the like.

The standard of the management criteria for the standard word dictionary to be managed by the standard data is that the standard word defined in the standard word dictionary is used in the meaning of the dictionary that is used or generally used in the scope of work targeted by the information system. This should include extracting from the language, avoiding too much work or dialects, and minimizing the use of abbreviations.

In addition, the possibility of reference to the management criteria for the standard word dictionary subject to the standard data management includes that the standard words defined in the standard word dictionary can be referred to when defining a new task in the company or institution. .

In addition, the generality of the management criteria for the standard word dictionary subject to the standard data management includes that the standard words defined in the standard word dictionary are not significantly different from the general words so that ordinary people can understand the meaning of the words. It is done by

In addition, the representativeness of the management criteria for the standard word dictionary subject to the standard data management, the standard word defined in the standard word dictionary may have synonyms, but the words declared as standard words may represent synonyms having similar meanings. It is done to include.

In the method of managing the standard word dictionary of the standard data management object, the standard word is extracted based on entities and attributes managed throughout the enterprise as individual units, and the physical name (English name, English abbreviation name) is based on the logical name (Korean name). And similar terms are managed together, and the standard word dictionary is managed so that the structure of words such as synonyms, synonyms, antonyms, and the like is defined together with individual words.

According to an embodiment of the present invention, the standard domain dictionary of the standard data management object is a dictionary defining a range of values satisfying a condition defined in an attribute of a domain, wherein the standard domain is data used throughout the enterprise. It is desirable to group logically and physically similar types of data in the middle to define the type and length of data belonging to that group.

Here, it is preferable that the management criteria for the standard domain dictionary for the standard data management object include standardity, uniqueness, work orientation, and the like.

The standardization of the management criteria for the standard domain dictionary to be managed by the standard data includes that the standard domain defined in the standard domain dictionary is defined as an attribute that is commonly used at the enterprise level. For example, it is preferable to define and use a standard domain because the account number of the bank does not vary depending on the bank subtask or the financial product.

In addition, the uniqueness of the management criteria for the standard domain dictionary to be managed by the standard data includes managing so that duplicate domains of the same contents among the standard domains defined in the standard domain dictionary are not declared under different names.

In addition, the uniqueness of the management criteria for the standard domain dictionary of the standard data management object includes that each domain defined in the standard domain dictionary is declared and managed so as to sufficiently reflect the characteristics of the business. For example, it is preferable to express the domain of the bank account number using '-' to indicate a proper meaning rather than defining without '-'.

The method for managing the standard domain dictionary of the standard data management object includes extracting, grouping, and declaring a standardized domain of attributes implemented in a DBMS among all data attributes or representative attributes managed throughout the enterprise. All attributes should be assigned to any domain, but not to multiple assignments to at least one domain, which domain consists of multiple subdomains (composite domains) or one domain is redundant to multiple domains. It manages to be used as a function, and the property and domain are managed to be mapped to each other, and when a new property is added, it is recommended to select and register a domain of the property, and to delete the domain, To make it possible only if the attribute does not exist It is preferable to.

According to an embodiment of the present invention, the standard term dictionary for management of standard data is a dictionary that defines at least one term that is frequently used in a business and includes at least one term defined by combining standard words. Words are individual, but terminology can vary depending on the nature of the task and organization. By defining the standard terminology dictionary, it is possible to minimize problems caused by lack of understanding or confusion when terminology requires communication between different tasks within an institution or an enterprise.

Here, it is preferable that the management criteria for the standard term dictionary for the standard data management object include standardity, generality, work orientation, and the like.

Standardization of the management criteria for the standard term dictionary of the standard data management object may include minimizing enterprise-wide confusion caused by a difference in the use or meaning of terms defined in the standard term dictionary.

In addition, the generality of the management criteria for the standard term dictionary of the standard data management object is such that the terms defined in the standard term dictionary are not defined too much in terms of business, and thus should not be intuitively understood or cause semantic confusion. It is made to include. In other words, terms used differently from the general meaning should be replaced with other terms.

In addition, the work orientation of the management criteria for the standard term dictionary of the standard data management subject, the term defined in the standard term dictionary includes the use of an abbreviation or separately defined in the internal reflecting the task . However, excessive use of abbreviations or the development of new terms should not undermine the understanding of the work.

In the method of managing a standard term dictionary of the standard data management object, the standard term is managed to generate a combination of words defined in a standard word dictionary for terms of entities and attributes that are used throughout the enterprise, and the term dictionary Is defined and managed by dividing into entity term dictionary and attribute term dictionary, and each term has logical name (Korean name) and physical name (English name), and it is desirable to include and manage explanation of term scope and qualification form. Do.

According to the exemplary embodiment of the present invention, the standard code for the standard data management object means that the standard code is replaced with a symbol within a limited range according to a standard defined for shaping various data values. Codes that are defined and used internally by organizations or companies are targeted, as well as codes that are legally and systematically assigned by industry and commonly used.

Here, it is preferable that the management criteria for the standard code of the standard data management object include reusability, consistency, uniqueness and information analysis.

The reusability of the management standards for the standard codes subject to the standard data management is higher than that of standardization organizations, governments, and public institutions in order to improve understanding of the data and to facilitate code management. This includes making use of the code defined in.

Consistency of the management criteria for the standard code of the standard data management object includes that the code corresponding to the standard code is used consistently with a single value. For example, 'Y / N' or '1/0', etc. should not be used in combination.

In addition, the uniqueness of the management criteria for the standard code of the standard data management object includes that the code corresponding to the standard code is defined uniquely. If the work code is duplicated, it can cause serious problems of inconsistency with data at the enterprise level.

In addition, the information analysis of the management criteria for the standard code to be managed by the standard data includes encoding and managing all possible data. In other words, the higher the weight of the value entered by referring to the code than the value directly entered as text, the easier it is to obtain valuable results when analyzing information.

The method for managing the standard code of the standard data management object is to analyze the code that is used throughout the enterprise and the standardization code of the standardization organization or the government and public institutions to determine whether to use the standardization code, and the code is the standardization team Should be managed according to strict standards and should not be created or modified by the user (120) arbitrarily.The code should be managed in close association with the domain, but the range of values is clearly defined in the domain ( For example, it is preferable to manage whether or not 'is' is expressed as 'Y / N'.

According to an embodiment of the present invention, the data standard element of the standard data management object means a standard for data related elements required to design and build a system, and the data related element standard object is a subject area of a logical data model. , Entity, attribute relationship names, physical object objects Subject Areas, Relationships, Database & Instances, Indices, Constraints, Sequences, User-Defined Procedures & Functions, Synonyms, Views, Rollback Segments, Tablespaces, File Names, Script Names, etc. Include a naming convention.

The system operation may have a mixture of essential elements necessary only for operating the system and elements generated by the system operator. The management criteria for the data standard elements subject to the standard data management include the essential elements required for the system operation. It is made to include.

For example, elements that simply load the result of the program execution are necessary for backtracking when problems occur, but are not essential elements of system operation, and selection criteria of the management target among the data related elements are essential elements for system operation. Be able to be the primary target.

The method for managing data standard elements of the standard data management object includes managing to accurately select elements necessary for operating the system, extracting elements necessary for the design and construction of the system, and defining elements for which standards are required. It is desirable to manage to define business standards for the organization.

The model data managed by the modeler 110 on the data quality management framework refers to data required for operating and managing a data model on an information system to which the data quality management framework is applied. Includes conceptual data model, logical data model, metadata about physical data model, and DBMS object information.

The model data is characterized by maintaining the latest information on the data structure by managing metadata about the data model, maximizing the sharing and reuse of the data model at the enterprise level, and enables the systematic data model change management.

Here, it is preferable that the management criteria of the model data include completeness, consistency, traceability, correlation, freshness, compatibility, and the like.

Integrity of the management criteria of the model data includes making the model data include metadata for data structures of all stages such as conceptual data models, logical data models, physical data models, databases.

In addition, the consistency of the management criteria of the model data includes that the model data is defined in compliance with words, terms, domains and data standard elements.

In addition, the traceability of the management criteria of the model data, the model data comprises that it is easy to track the change history of the data model and to meet the utilization requirements for the historical data model.

In addition, the correlation between the management criteria of the model data, the model data comprises to represent the inter-relationship between the data models to manage the data structure in a three-dimensional structure.

In addition, the up-to-dateness of the management criteria of the model data includes making the model data logically match not only the business rules expressed in the step-by-step data model but also the database implemented in the actual system.

In addition, the compatibility of the management criteria of the model data includes that the model data is compatible with the standard data and the management data.

In the method for managing the model data, the data structure and the model data representing the structure should be managed separately, and if the data model is changed, the data model before and after the change is, of course, the affected application and SQL (Structured) It is desirable to manage the history of Query Language together.

The management data managed by the database manager (DBA) on the data quality management framework refers to data necessary for effectively operating and managing a database on an information system to which the data quality management framework is applied. , Fault and security management data, performance management data, flow management data, and quality management data.

The management data can be used and operated efficiently by managing data on the use and performance management of the database, data flow management, and quality control based on a target value defined in the organization at any time or a predetermined reference time. It is characterized by that.

According to the implementation method of the present invention, a database can be classified into two types, one being a database of an operating system mainly generated in the course of an institution or an enterprise, and the other analyzing and extracting information from such an operating system. It is a database of analytical system to utilize.

The purpose of the management of the operating system database is to ensure the quality of the data itself and the overall service quality such as an interface required to efficiently provide the data in order to satisfy the satisfaction of the database users 120, and to manage the analysis system database. The purpose is to increase the utility of the data. In the present invention, the management data will be described focusing on the database of the operating system.

Here, the management target of the management data is characterized in that it comprises use management data, obstacle and security management data, performance management data, flow management data and quality management data.

According to the embodiment of the present invention, the use management data of the management data management object means data to be managed in order to maximize the utilization value of the database and the satisfaction of the user 120.

Here, it is preferable that the management criteria for the use management data of the management data management target include data utilization, user 120 satisfaction, and adequacy of a problem solving time.

The data utilization of the management criteria for the use management data of the management data management object includes periodically identifying the data use trend and analyzing and managing the result trend.

In addition, the satisfaction of the user 120 of the management criteria for the use management data of the management data management target includes the regular grasping of the satisfaction of the user 120 of the database and analyzing and managing the result trend.

In addition, the appropriateness of the time required for solving the problem of the management criteria for the use management data of the management data management target, the time required for solving the problem by checking the time taken from occurrence of the problem and the time taken to resolve after the problem is confirmed. This involves analyzing and managing how well and systematically the data is managed.

The method of managing the use management data of the management data management target is to aggregate the data change status by daily, weekly and monthly, to analyze the time when a sudden change occurs and to establish the causes and trends, anticipated problems and countermeasures. It manages to analyze problems of database use and improvement requirements on a regular basis, manages to define various paths to check the problems related to the use of the database, and classifies the causes of the problems by type. It manages to record in detail the contents of the processing work and the results (problem definition, related database, person and person involved, work progress, etc.).

According to the implementation method of the present invention, the management and management data of the management object management data is managed in order to prevent an event that prevents the normal state or effective use of the database in advance or to allow a quick recovery upon occurrence of the event. Means the data to be.

Here, it is preferable that the management criteria for the obstacle and security management data of the management data management object include periodic status records, recovery procedures, rules, and access control.

Periodic status recording of the management criteria for the obstacle and security management data of the management data management includes managing the backup cycle of the database, the backup method, records related to the storage and recovery of the backup data.

In addition, the recovery procedure and rules of the management criteria for the obstacle and security management data of the management data management object is made to define and manage the data recovery procedure and rules applied in an emergency.

In addition, the access control of the management criteria for the obstacle management data and security management data of the management data, block access to the database from the inappropriate user 120 inside and outside the database, and the authority and level of the user 120 It consists of including to manage.

The method for managing the management data and the management data of the management data management object is to evaluate the database to determine the importance, and to classify the data to be backed up daily, weekly and monthly according to the importance, and the database Establish and periodically train backup and recovery procedures for the system, and ensure that the application rules are as detailed as possible, and that there are no duplications or inconsistencies, and that the location of the backup data should be such that the network and servers are separated from other systems and It manages to set up, establishes the security regulations for the database, and periodically training and publicity, specifies the access rights of the user 120 for each database, and periodically manages to check and act on illegal access.

According to the method of the present invention, the performance management data of the management data management object means data to be managed in order to improve the performance of the database.

Here, it is preferable that the management criteria for the performance management data of the management data management object include a performance improvement procedure, a performance check cycle, and the like.

The performance improvement procedure of the management criteria for the performance management data of the management data management target includes defining and managing procedures and rules for improving the performance of the database in order to systematically manage the performance of the database.

In addition, the performance check cycle of the management criteria for the performance management data of the management data management target includes that the performance measurement criteria and measurement cycles of the database are defined so as to periodically check the performance of the database.

The method for managing performance management data of the management data management target may define performance measurement criteria for the database, manage all the criteria to be quantified, measure performance per day, weekly, monthly, and analyze the trends. Manages and maintains procedures and rules (eg, query optimization, database structure change, etc.) and procedures for improving the performance, and manages to define when and how to reconstruct the database according to the database management. It is desirable to manage to define the rules for when to replace and expand the storage of the database.

According to the method of the present invention, the management data management target flow management data means data for managing mapping information between source data and target data used when moving predetermined information system data to another information system.

Here, it is preferable that the management criteria for the flow management data of the management data management object include a mapping rule of source and target data, a source and target data refinement rule, and the like.

And a mapping rule of the source and target data of the management criteria for the flow management data of the management data management object, defining all the sources and targets requiring the data movement, and defining mapping rules between the source targets.

In addition, the source and target data refining rule of the management criteria for the flow management data of the management data management target, the cleansing rules for the data that is in compliance with the defined source and target mapping rules and violate the definition is defined. It is done to include.

The method for managing flow management data of the management data management object includes creating a mapping list between the source data and the target data for the database, and managing to check whether all the source data required by the target system are included. It is managed to check whether the source and the target which do not need the data movement are mapped, and are managed to check whether the deleted source is used as the mapping source, and check whether the data structure of the source and the target is the same. If it is not the same, it is desirable to manage to apply the conversion rule, to check that the conversion rule conforms to the data integrity rules, and to check whether the result ensures data integrity.

According to the exemplary embodiment of the present invention, the quality management data of the management data management object means data to be managed basically in order to secure the consistency of the data and to perform operations for maintaining and improving data quality. By managing the quality control data, it is possible to prevent inefficient use of the data and to prevent data quality deterioration due to inconsistency of data that may occur during operation of the data, thereby maintaining high quality data of the entire operating system.

Here, it is preferable that the management criteria for the quality management data of the management data management object include a quality standard, a quality inspection cycle, a quality verification procedure and rules, and a quality improvement procedure.

The quality standard of the management standard for the quality management data of the management data management object defines the quality standard of the data managed by the system. Quality standards include the management of ratings based on the importance of the data.

In addition, the quality check cycle of the management criteria for the quality management data of the management data management target, to set the measurement cycle for the database performance and data quality, etc. to continuously and regularly perform the data quality management. The quality checking cycle may be performed by reflecting the request level of the user 120.

In addition, the quality verification procedure and rules of the management criteria for the quality management data of the management data management object define data quality verification procedures and rules for applying the defined quality criteria. This includes ensuring that actions taken against exceptions that do not follow the defined procedures and rules are also considered.

In addition, the quality improvement procedure of the management criteria for the quality management data of the management data management target is to reflect the measured quality evaluation results to improve the quality of the data and to define a procedure and method for maintaining high quality data. It is made to include.

The method for managing the quality management data of the management data management target may include, for example, an entity requiring data quality management for the database (eg, entity entity, referential integrity, domain integrity, attribute, column business rule application, entity, table definition). User 120 definitions such as data creation, change, deletion rules, triggers, etc. according to the operation of DBMS object, and whether data replication is allowed, etc.). It is advisable to manage to define error correction rules for nonconforming data.

The work data managed by the user 120 on the data quality management framework refers to data required to perform the work and business of an institution or an enterprise, and can generally be classified into source, operation, and analysis data according to the data flow. have.

The business data is characterized by improving the efficiency of data management and database construction by appropriately partitioning and managing data, which is the basis of information system information, according to each characteristic such as source, operation, and analysis data.

Here, the management target of the business data is characterized in that it comprises a source data, operational data, analysis data, and the like.

According to the method of the present invention, the source data of the business data management object is real world data that is a source of the operation data, and the source data includes a general document, a data source file stored in a PC, an e-mail and a fax, etc. This includes.

Here, it is preferable that the management criteria for the source data of the business data management object include the security of the source data, the safety of the source data, the reliability of the source data, and the like.

The security of the source data of the management criteria for the source data of the business data management target, the source data is not managed systematically by a system, a program, a database object, there is a high risk of exposure to unauthorized users 120. Therefore, in the case of important source data, it involves including paying special attention to security.

In addition, the safety of the source data of the management criteria for the source data of the business data management target, because the source data has a high data loss rate in the event of a disaster and the recovery of the lost source data is very difficult, the level of safety management for the important source data This is to keep it high.

In addition, the reliability of the source data of the management criteria for the source data of the business data management subject includes the definition of the basis for this to determine the accuracy and reliability of the source data.

In the method of managing the source data of the business data management object, the source data is managed by the individual or the organization of the source business data owner rather than by the integrated system, the retrieval of the source data is generally the data stored in the system Since it may take more time than searching, it is desirable to manage to define the management system clearly, and to classify the source data necessary for the database construction and define the access authority and creation, change, and destruction rules for each source data. Do.

According to the implementation method of the present invention, the operation data of the business data management object means data that is stored and managed in a database for use in achieving a goal of a company or an institution and performing a job, wherein the data is temporarily used for simple input / output work processing. Exclude temporary data needed.

Here, it is preferable that the management criteria for the operation data of the business data management object include accuracy, consistency, up-to-dateness, completeness, ease of use, and ease of search.

The accuracy of the management criteria for the operation data of the business data management object includes storing and managing the same data as the source data existing in the real world.

In addition, the consistency of the management criteria for the operation data of the business data management subject includes the data to match the term definition, regulation, standard, attribute definition, data format and the like.

In addition, the freshness of the management criteria for the operational data of the business data management subject is made, including the data provided to be updated with the most recent content, to maintain the freshness of the data to the latest grade (Very important, important, moderate).

In addition, the completeness of the management criteria for the operation data of the work data management object, including the data stored in the information system is provided in a complete form without missing items.

In addition, the ease of use of the management criteria for the operation data of the business data management object, the interface, help, customer support functions, etc. provided by the information system is provided so that the user 120 is provided with inconvenience to use the database. It is made to include.

In addition, the ease of search of the management criteria for the operation data of the business data management target, it is to ensure that the search results and output method according to the search-related functions and search conditions to be accurate and appropriate so that the desired data can be extracted and utilized in the information system It is made to include.

The method for managing the operational data of the business data management subject periodically checks and manages data according to defined management standards and management methods to ensure the accuracy, consistency, freshness and completeness of the data, and the ease of use. And searchability should be managed to follow the management criteria and management methods of performance management data.

According to an embodiment of the present invention, the analysis data of the business data management object refers to data generated through a process of extracting, transforming, and loading operational data. To ensure that organizations can quickly support the work or activities of an organization or organization, they must be up-to-date and accurate.

Here, it is preferable that the management criteria for the analytical data for the business data management object include an analysis cycle, a deadline, a summary level, subject orientation, integration, time series, and non-volatility.

The analysis cycle of the management criteria for the analysis data of the business data management object includes determining an analysis and conversion cycle of the operation data which is a source of the analysis data.

In addition, the deadline of the management criteria for the analysis data of the business data management object includes defining a specific time point of the operation data used to convert the operation data into analysis data.

In addition, the summary level of the management criteria for the analysis data of the business data management object defines the summary level required for the analysis data. The level of summarization involves taking into account the scope and depth of operational data.

In addition, the subject orientation of the management criteria for the analysis data of the business data management object is made to include classifying the distributed and managed operational data by a unified subject area.

In addition, the integration of the management criteria for the analytical data of the business data management object comprises the classification of the analytical data according to the same and consistent standard ('male / female', '1/0'). .

In addition, the time series of the management criteria for the analytical data for the business data management object is made to include defining the data accumulated for a predetermined time for various time points.

In addition, the non-volatility of the management criteria for the analytical data of the work data management object includes that the deletion or update of the data does not occur frequently.

The method of managing the analysis data of the business data management object, manages to define a rule for extracting, converting, and loading the operation data into the analysis data, wherein the analysis period, deadline, summary level, etc. are the size of the analysis target data B. It should be managed to define it in consideration of characteristics, purpose of use, etc.

The conceptual data model managed by the data management officer 105 (DA) on the data quality management framework includes a subject area and a core data set of data meeting the business requirements of an information system to which the data quality management framework is applied. It is a model that defines and defines the relationship between each other.

The conceptual data model draws the core data structure of the business model to be constructed, such as a bird's eye view of the building, and is characterized in that it can take a large outline of the whole work and proceed to the detailed steps.

In addition, the conceptual data model supports the data structure alignment between the detailed logical data model and the physical data model, which will be defined in the future by defining a relationship between a subject area and a core data set suitable for the characteristics of an institution or an enterprise. In addition, it is characterized in that the subject area allows the user to check the entire scope of work and work components.

Here, the management target of the conceptual data model is characterized in that it comprises a subject area, a core entity, and a core relationship.

According to the method of the present invention, the subject area of the conceptual data model management object means a data set having high business intimacy.

Here, it is preferable that the management criteria for the subject area to be managed by the conceptual data model include atomicity, concentration, and work orientation.

The atomicity of the management criteria for the subject area subject to the conceptual data model management is that a predetermined unit subject area includes a group of entities which are not affected by the entities or relationships of other subject areas as much as possible.

In addition, the centralization of the management criteria for the subject area subject to the conceptual data model management includes making the relationship with the entities in the unit subject area to be concentrated in the unit subject area.

In addition, the task orientation of the management criteria for the subject area to be managed by the conceptual data model includes naming the subject area in a singular unit representing business clarity.

The method for managing subject areas of the conceptual data model management object includes declaring entity sets as one subject area that is more effective to handle in the same work area, and managing the subject areas to be divided into several types according to work diversity. In addition, although the scope of clearly distinguishing tasks may be defined as one subject area, it is desirable to manage the number of entities shared between different subject areas as much as possible.

According to an embodiment of the present invention, the core entity of the conceptual data model management object is a data set to be managed in the business area, and should have two or more attributes and two or more data instances. It is a homogeneous, independent data set and corresponds to a data unit that exists permanently. Among them, the key entity, the core entity, which is the main entity, is a high-level entity that is the basis of a task and can create a number of child (task, transaction) entities.

Here, it is preferable that the management criteria for the core entity subject to the conceptual data model management include aggregation, identification, persistence, usability, relationship, and the like.

The aggregation of management criteria for the core entity subject to the conceptual data model management comprises the entity consisting of a set of data having two or more attributes and two or more data instances.

In addition, the identification of management criteria for the core entity subject to the conceptual data model management comprises the entity being able to uniquely distinguish each data instance of the entity by one or more attributes.

In addition, the zero attribute of the management criteria for the core entity subject to the conceptual data model management is a data set that the entity must exist permanently according to the activity cycle of the task, and should disappear or be generated when the contents of the task are changed. The data set is inappropriate to declare and manage as the entity.

In addition, the usability of the management criteria for the core entity subject to the conceptual data model management is a data set that must be used within the scope of business, and if declared but not used, there is no value as an entity.

In addition, the relationship between the management criteria for the core entity to be managed in the conceptual data model includes that the entity must have a relationship with another entity, and an entity without a relationship may be an unused entity. Violation of usability.

The method of managing the core entity of the conceptual data model management object is that the entity is managed to be collected from a document, a journal, an interview, a related technical book, a DFD, another system, a report, a field survey, and the entity is logical. Declare it correctly by dividing it into units, but manage it so that one entity looks semantically different so that it is not duplicated (i.e. if one entity looks different depending on its state, identify the homogeneity of the data and declare it as one entity as a subtype). Should be managed).

According to an embodiment of the present invention, the core relationship of the conceptual data model management object represents a logical relationship between the core entities, and the business rule that influences the existence form or mutual influence of the entities in the present or near future. It expresses a useful relationship in a limited way, and has a relationship name, an optional specification, and a relationship type. In the relational data model, the relationship must exist between entities.

Here, it is preferable that the management criteria for the core relationship of the conceptual data model management object include selectivity, formability, work orientation, and the like.

The selectivity of the management criteria for the core relationship of the conceptual data model management object includes the relationship that can be expressed by distinguishing between "essential" and "selection".

In addition, the form nebula of the management criteria for the core relationship of the conceptual data model management object, the relationship is made to include the definition (degree) of 1: 1, 1: M, N: M to be managed.

In addition, the work orientation of the management criteria for the core relationship of the conceptual data model management object clearly indicates how the relationship between the two entities affects each other (ie, the existence of the instance of the child entity must be the parent instance). If the existence of a parent instance is not affected by the existence of a child instance, then the relationship is made to allow for a clear representation of the effect of such a existence between the parent and the child entity.

In the method for managing the core relationship of the conceptual data model management object, the core relationship may maintain the M: M relationship as it is in the conceptual data model step and manage the M: M relationship to include the resolved entity. The relationship name between parent and child must be defined to be defined, and the relationship name must be specific, and the relationship between the parent (parent) and the receiver (child) between entities must be clearly defined, and the data having the relationship must exist. It is preferable to manage so that selectivity for the case where there is no target data having a relationship with the case, and manage to be able to clearly express the form of the relationship between the predetermined data and one or more data.

Referring to FIG. 1 according to an embodiment of the present invention, an overview data model may be placed on top of the conceptual data model according to the intention of a person skilled in the art, wherein the overview data model may include a data area and a data set in a work area. Defined from an enterprise-wide perspective, but not limited to, and / or each data region has a relationship with other data regions, and / or more primized attributes that are commonly used in the public interest rather than the interests of an institution or company. It is possible to define at the level of form.

The data reference model managed by the data management officer 105 (DA) on the data quality management framework is used between organizations for the construction and maintenance of the data architecture of the information system to which the data quality management framework is applied. Refers to a data model that defines standard data sets and management items by work area and subject area for the purpose of interoperability of existing data models and reference and reuse of other organizational data models.

The data reference model may save time required for overall modeling by securing basic information in advance when modeling new data.

In addition, the data reference model may prevent the loss of information by using the data reference model when modeling new data.

In addition, the data reference model may identify or supplement an error of the company's data model using a previously verified data reference model.

In addition, the data reference model can improve the quality of the lower institution or department data model in a short time by adopting a high quality data reference model in the central organization or department.

The management target of the data reference model is a reusable data model. The attribute reference unit, entity, and entire business area unit may also be a data reference model. Conceptual data models, logical data models, and physical data models can also be scopes of data reference models.

Here, it is preferable that the management criteria for the data reference model include generality, simplicity, standardity, accuracy, information availability, and classification.

The generality of the management criteria for the data reference model includes information on specific data of a specific task, and defines and manages something that can be referred to in various work areas in general.

In addition, the simplicity of the management criteria for the data reference model includes not limited to a specific task so as to maximize the utility.

In addition, the standard of the management criteria for the data reference model includes the data term being expressed to maximize the reference usability of the data model using terms that can be understood at a common sense and general level.

In addition, the accuracy of the management criteria for the data reference model includes that the information to be managed is accurate only as a model having the nature of reference.

In addition, the information availability of the management criteria for the data reference model includes not only the relationship between the entities, but also the entity and the definition of the entity, the data management rules of the entity, and the attribute definition can be stored and referenced together.

In addition, the classification of the management criteria for the data reference model is made to be classified not only within the work area and industry, but also within each step of the data structure and the scope of the data reference model.

The method for managing the data reference model is preferably defined in a central organ or upper organization and managed to be shared and shared by the lower organ or organization.

The logical data model managed by the modeler 110 in the data quality management framework is a model in which a conceptual data model of an information system to which the data quality management framework is applied is defined to define logical data sets, management items, and relationships. Means.

The logical data model is the most important model in the overall data structure, and can identify the entire work scope and work components.

In addition, the logical data model can prevent unnecessary data duplication and data inconsistency by defining and managing data in detail in the step.

According to an embodiment of the present invention, terms expressing entities, attributes, and relationship names in the logical data model are defined within standard words and standard terms specified in standard data, and the current tasks are specifically reflected in the logical data model. If the object of the physical data model or the database is changed but the change is not reflected in the logical data model, the accuracy of the logical data model is inferior and the quality of the managed data is affected. It also manages the history for, and if the history is managed can be returned to the logical data model of a certain point in time in the past according to the matter.

Here, the management object of the logical data model is characterized by including a subject area, an entity, a relationship, an attribute, and the like.

According to an embodiment of the present invention, the subject area of the logical data model management object is to declare and manage a data set having high business intimacy as one subject area.

Here, the management criteria for the subject area of the logical data model management object, the subject area management criteria and method of the logical data model preferably follows the concept data model subject area management criteria.

According to an embodiment of the present invention, the entity of the logical data model management object may include sub-type information including a definition of a conceptual data model and in which history management, homogeneity, and independence information are identified in more detail.

Here, it is preferable that the management criteria for the entity to be managed by the logical data model include perfection, permanence, identification, homogeneity, normalization, and the like.

The integrity of the management criteria for the entity subject to the logical data model management comprises maintaining two or more attributes and two or more instances in the respective data set.

In addition, the persistence of the management criteria for the entity to be managed by the logical data model may include a data set that is currently managed or a data set that will be managed in the future.

In addition, the identification of the management criteria for the entity to be managed by the logical data model includes making one or more attributes exist that can individually distinguish instances of the entity.

In addition, the homogeneity of the management criteria for the entity to be managed by the logical data model allows the entity that is a predetermined data set to include a data set in which homogeneous data is collected.

The normalization of the management criteria for the entity subject to the logical data model management includes generally allowing the entity to be normalized up to the third normalization.

The method of managing the entity to be managed by the logical data model follows the method of managing the conceptual data model, and it is preferable to add and manage detailed information such as an entity definition and a data generation rule according to the detail of the information.

According to the exemplary embodiment of the present invention, the relationship of the logical data model management object includes the definition of the conceptual data model, and means that all M: M relationships are resolved in the detailed logical data model step.

Here, it is preferable that the management criteria for the relationship of the logical data model management object include the selectivity, the relationship type, the relationship name, and the like.

The selectivity of the management criteria for the relationship of the logical data model management subject includes making the relationship be divided into mandatory and optional, and the mandatory relationship must have an instance with the relationship present in the entity. Means.

In addition, the relationship form of the management criteria for the relationship of the logical data model management object includes that the relationship can have a relationship of 1: 1 or 1: M, M: N.

In addition, the relationship name of the management criteria for the relationship of the management object of the logical data model may be omitted in the expression when the relationship is clear, but in general, it is necessary to have a relationship name when establishing the relationship between the entities. It is made to include.

The method of managing the relationship of the logical data model management object is managed to follow the method of managing the conceptual data model, and it is preferable to define and manage the business rules contained in the relationship in detail.

According to an embodiment of the present invention, the attribute of the logical data model management object means information items to be managed in an entity.

Here, it is preferable that the management criteria for the attributes of the logical data model management object include atomicity, consistency, integrity, informationality, and the like.

The atomicity of the management criteria for the attributes to be managed by the logical data model should be divided into meaningful minimum units, and one attribute includes information of several states at the same time.

In addition, the consistency of the management criteria for the attributes of the logical data model management object, the predetermined attribute is made to include one data type and manages only one data.

The integrity of the management criteria for the attributes of the logical data model management object includes making the data of the referenced attribute match the data of the attribute referring to the attribute.

The informationality of the management criteria for the attributes of the logical data model management object includes making the level of detailing determined within a meaningful range within the task.

The method for managing an attribute of the logical data model management object includes managing the attribute not to be indiscriminately increased according to a request of the user 120 after the attribute is initially determined within a management item range of an entity, and the attribute is existing information. When it is not possible to extract from, it is desirable to manage the addition so that it can be added and the entity can be added according to the specification of the attribute.

The physical data model managed by the database manager (DBA) on the data quality management framework refers to a model in which the physical data model is embodied in consideration of the characteristics and performance of the DBMS of the information system to which the data quality management framework is applied. do.

The physical data model is defined after the DBMS is selected and is designed and managed to ensure the best performance in the DBMS and to reflect the physical characteristics of the data stored in the physical data model to the maximum extent.

In addition, since the physical data model is not an actual data object, it may be neglected, but since the physical data model is not declared as a database object in 1: 1, it should be managed with importance.

In addition, in the physical data model design step, sample data may be used to re-verify the consistency of the physical data model.

In addition, in order to design the physical data model, the screen of the user 120 needs to be completed according to business requirements and needs, and thus may be designed under mutual verification with the user 120 application.

According to the implementation method of the present invention, the design time of the physical data model is the stage at which the design of the application and the business requirements are clear, and it is preferable that the physical data model reflecting the business requirements is designed. It is preferable to declare and create a physical name based on the standard words and standard term rules specified in the standard data based on the standard words and column names.In the physical data model, the declaration of the domain is important and faithful adherence to the domain rules. Will be a prerequisite to maintaining high quality of data maintained within the physical data model.

Here, the management target of the physical data model is characterized by including a subject area, a table, a relationship, a column, and the like.

According to an embodiment of the present invention, the management criteria for the subject area of the physical data model management object may be that one subject area defined in the logical data model is distributed to different schemas or servers in the physical data model. In some cases, a physical subject area may be managed according to a naming convention of a table in one schema of one server. Preferably, the subject area management criteria of the physical data model conform to the criteria of the conceptual data model and the logical data model. The method of managing the subject area of the logical data model management object may include the logical subject area and the instance and schema of the DBMS. It is desirable to manage the correspondence relationship.

According to an embodiment of the present invention, the table for managing the physical data model may be divided into one or more physical tables according to one table or subtype or business characteristic according to the physical characteristics of the data and the characteristics of the DBMS. .

Here, it is preferable that the management criteria for the table to be managed by the physical data model include permanence and identification.

The persistence of the management criteria for the table to be managed by the physical data model includes data that is currently managed by the data of the table and needs to be managed in the future.

In addition, the identification of the management criteria for the table of the physical data model management object comprises including allowing the records in the table to be distinguishable by one or more column data.

In the method for managing a table to be managed in the physical data model, it is preferable to manage design information such as the life cycle of the data stored in the table and the amount of data to be maintained and managed for a certain period of time.

According to an embodiment of the present invention, the relationship between the physical data model management object means a rule for creating, deleting, and changing data between a parent table and a child table.

Here, it is preferable that the management criteria for the relationship of the physical data model management object include a generation rule, a change rule, a deletion rule, and the like.

The generation rule of the management criterion for the relationship of the physical data model management object includes that the data referred to the parent table must exist when the data of the child table is generated.

In addition, the rule of changing the management criteria for the relationship of the physical data model management object is that, if the key data of the parent table is changed, the reference data of the referenced child table is also changed or if the child data exists, the key data of the parent table. This includes preventing the change.

The deletion rule of the management criteria for the relationship of the physical data model management object is that when the data of the parent table is deleted, the data of the child table referencing the data is deleted together or the data of the parent table is deleted if the child data exists. It may not be possible.

In the method of managing the relationship of the physical data model management target, the relationship is a business rule, so that the management is performed to determine whether to manage at the DBMS level or the application level. Since this is difficult, it is desirable to manage it to minimize it as much as possible.

According to an embodiment of the present invention, the column of the physical data model management object is defined so that data reflecting a business rule can be stored in a standardized domain.

In the method of managing a column to be managed in the physical data model, predetermined column data is managed to have the same data type and data representation, and a physical attribute of a column having a similar data type and representation is defined as a domain. It is desirable to manage.

The database managed by the database manager (DBA) on the data quality management framework is a result of implementing a physical data model of an information system to which the data quality management framework is applied, and refers to a data store in which actual data constructed is stored. do.

The database can be effectively operated by defining and managing the database storage table, an index for ensuring access speed, constraints reflecting business rules, and other database related objects.

Here, the management target of the database is characterized in that it comprises a storage space, tables, constraints, indexes, triggers, DB links, procedures, views, synonyms, and roles.

According to an embodiment of the present invention, the storage space of the database management object refers to an area (tablespace, data file) defining a table and an index requiring a space for storing data in the database, and operating in the database. All data is divided into tables and indexes, and data management begins with the management of storage space.

Here, it is preferable that the management criteria for the storage space of the database management object include safety, security, scalability, and performance guarantee.

Safety of the management criteria for the storage space of the database management object is made, including the disk area of the system for the storage space to be secured separately from other program execution area of the system, for this purpose, a normal work system The server operates a server dedicated to the DBMS, and / or the storage space is a real space in which the data is physically stored so that the existence of the storage space is protected from external threats or disasters.

In addition, the security of the management criteria for the storage space of the database management object, so that the storage space is a real space where the data is physically stored so that access control to the unauthorized program or user 120 is completely made.

In addition, the scalability of the management criteria for the storage space of the database management object includes the expansion of the storage space and the allocation of the physical disk area is sufficient because the data is continuously increased in the storage space.

In addition, the performance guarantee of the management criteria for the storage space of the database management target, because the large amount of data is called and stored from time to time during the operation of the DBMS physical disk allocated storage space is a product that can maintain a fast performance as appropriate structural arrangement Is done.

In the method for managing the storage space of the database management target, the DBA checks the storage space of the system from time to time in consideration of performance and security in accordance with management standards, and manages the final security and safety of data for the first purpose, and also the developer In addition, it is desirable to control the data to be expanded indiscriminately according to the convenience of the user 120 and to manage the backup to the appropriate level of storage space.

According to the method of the present invention, the database management target table, entities and attributes are defined as a table in the database, various methods such as clusters, partitions, etc. can be applied according to the characteristics of the data, the increase of the data Depending on the trend, physical properties may change.

Here, it is preferable that the management criteria for the table to be managed by the database include periodicity, diversity, security, and logic.

The periodicity of the management criteria for the table to be managed by the database may be such that data in the table is backed up at regular intervals or regenerated for performance.

In addition, the variety of management criteria for the table to be managed by the database, the data in the table according to the appropriate distribution strategy and table storage space definition method for performance, Partition (Partition), Cluster (Cluster), Index Organized Table (IOT) , Etc., to be defined in several forms.

In addition, the security of the management criteria for the table to be managed in the database, such that the table, the access, creation, modification, deletion rules are defined in a table unit, column unit to the user 120 of a limited range according to the authority and use It is made to include.

In addition, the logicality of the management criteria for the table to be managed in the database is made, including that the addition of the table and the addition of the column must be performed by reference to a logical data model, not based on the logical data model The addition of tables and columns in the DBMS will produce indiscriminate redundant data, which in turn degrades the quality of the data.

The method of managing the table to be managed by the database is appropriate so that the DBA manages the data of the table in consideration of performance and security according to the management criteria, and does not indiscriminately create the table in consideration of the convenience of the developer or the user 120. It is desirable to manage to limit it.

According to an embodiment of the present invention, the constraints of the database management target may include business such as Not Null, Default, Foreign Key Constraint, and Check conditions in the database. It is recommended that the rule be defined in the column, but the constraint on applying the relationship between tables means that the rule is applied in parallel with the application.

In this case, the management criteria for the constraints of the database management object include a non null condition, a default, a foreign key condition, a check condition, and the like in the database. desirable.

The not null condition of the management criterion for the constraint of the database management object includes defining a column in which data must exist in the table.

In addition, the default condition of the management criteria for the constraints of the database management object includes defining basic data when a determination value cannot be defined in a column in which the data must exist.

In addition, the foreign key condition of the management criteria for the constraints of the database management object includes defining and managing rules for inputting, deleting, and creating a relationship defined in the physical data model.

In addition, the check condition of the management criteria for the constraints of the database management object includes defining that only data within a predetermined type or range of data exists in a specific column.

In the method for managing the constraints of the database management object, the reflection of the constraints on the column is managed to be consistent with the attribute definition of the logical data model, and the rule about the relationship is managed to be maintained by the application. desirable.

According to an embodiment of the present invention, the index of the database management object is one of the data stores that are not reflected in the logical data model in the database but to speed up data access. Criteria can be defined in various ways according to business requirements. However, the higher the redundancy of columns, the more waste of storage space and adversely affect the speed of data entry, deletion, and update. There may be various kinds according to the kind.

The method of managing the index for managing the database is generally maintained in the form of B + Tree. In this case, since the index has little reuse of storage space, it is preferable to regenerate the index periodically.

According to an embodiment of the present invention, the trigger of the database management object is to perform a predefined function in association with a table in the database, and the management criterion for the trigger of the database management object is BEFORE upon generation of the trigger. The key can be used to specify that the Tuple (row, record) can be started before an event occurs. On the contrary, the AFTER key can be used to activate it after the event is completed.

In the method of managing a trigger of the database management object, another trigger may be sequentially activated when a trigger is executed. Therefore, the creation and use of triggers must be carefully defined and unwanted results can be obtained by the use of invalid triggers, and one or more triggers can be defined that specify the same event in the same table, but this does not change the triggering sequence of the triggers. Unpredictable and may be omitted by those skilled in the art.

According to an embodiment of the present invention, the DB link of the database management object is to connect a database remote from the database to process data in another server in one server within one SQL statement. The management criteria for DB link of database management target is defined in the distributed server environment when you want to easily call the data of the table located in one server to another server or another database instance.

In the method of managing the DB link of the database management target, since the DB link is properly created but the connection frequently occurs at the time of querying, it is necessary to verify whether the DB link works in actual use, and also the abuse of the DB link. Can slow down the execution of SQL, so it is desirable to properly manage it in consideration of the performance of the information system.

According to an embodiment of the present invention, the procedure of the database management target, the function (Function) and the procedure (Procedure) in the database is defined and used by the user 120, the function and the procedure is written in the program SQL statement The function and procedure can be called by using SQL statement.

The management criteria for the procedure to be managed in the database is that the data of the table is inputted, modified, or deleted by SQL statements, but when performing complex tasks or when the same type of SQL is repeated, This includes the definition of a procedure.

In the method of managing a procedure to be managed in the database, the functions and procedures are managed to increase the reuse rate of functions and procedures defined in another schema by declaring synonyms when publicity is more emphasized. Because the statement can greatly slow down the overall execution speed, it is desirable to manage the statement through performance verification.

According to an embodiment of the present invention, the view of the database management object is an object created to view data in the database, and does not require a physical storage space and executes the execution result of the SQL statement defined by the user 120. As the virtual data area shown, there may be a view having actual physical storage space depending on the type of commercial RDBMS.

The management criteria for the view of the database management object are generated to simplify access including restricting access to important data, reducing database complexity, hiding complex database design, and distributed queries for heterogeneous data.

In the method of managing the database management target view, the complex view may not grasp the intention of the user 120 properly, it may be difficult to grasp the work of the SQL performed as a whole, and may affect the speed. It is advisable to manage the use of too complex views.

According to an embodiment of the present invention, the synonym of the database management object means an alias for a table in the database, a general synonym can be created by all users, and ownership can be used only by the creator. As a synonym for PUBLIC, only DBAs can create and delete.

The management criteria for synonyms for the database management subject include defining synonyms for table data defined in another schema when the subject area is defined as a schema, but which should be frequently referred to frequently in business.

In the method of managing a synonym for managing a database, the synonym may be generated when one object is to be sharedly used in multiple schemas. Even if an object created in another schema has read permission, access to the object may not be performed. When it is cumbersome, it is better to use synonyms to simplify management.

According to the method of the present invention, the role of the database management object (Role) means the create, delete, read, change authority rules for the database object, the authority to grant and control the role is a DBA Have

The management criteria for the role of the database management object is that the convenience of use is important when managing the database objects, but the security and management of the data in the table are also important, and the user 120 who uses the database by creating an authority group is important. Properly suggesting permissions involves protecting roles in database objects and defining roles to protect data within objects.

The method of managing the role of the database management object, provides a number of basic roles by combining the privileges that are frequently used in the commercial RDBMS and the high priority, and the role is basically provided by the commercial RDBMS, but the security in the system It is desirable to manage various definitions according to the rules.

A view of a user 120 managed by the user 120 on the data quality management framework refers to a screen or an output on an information system to which the data quality management framework is applied.

The user 120 view is the output of the work performed throughout data quality management and is the final output provided to the user 120. Therefore, in order to maximize satisfaction with the data, the view of the user 120 should be developed and managed according to the level required by the user 120.

Here, the management target of the user 120 view, characterized in that comprises a screen and output.

According to the exemplary embodiment of the present invention, the user 120 view management target screen is an interface for providing a final output generated by the information system, and includes an end user screen and a system administrator screen. .

Here, it is preferable that the management criteria for the storage space of the user 120 view management object include convenience, searchability, system performance, and supportability.

Convenience of the management criteria for the storage space of the user 120 view management object includes all the work procedures processed through the screen of the user 120 to be intuitive and convenient.

In addition, the searchability of the management criteria for the storage space of the user 120 view management object includes the user 120 to quickly and accurately search for the desired information through the screen.

In addition, the system performance of the management criteria for the storage space of the user 120 view management target includes that all the tasks processed through the screen maintain the proper speed and performance (eg, response within 3 seconds). It is done by

In addition, the supportability of the management criteria for the storage space of the user 120 view management object may include allowing the user 120 to use appropriate help as necessary during job processing.

In the method of managing the screen of the user 120 to manage the view, it is preferable that the user 120 requirements and the help for the screen are managed together with the information on the use and constraints of the screen.

According to an embodiment of the present invention, the output of the user 120 view management object refers to the output generated through the information system, and the application program for generating the output as well as the output such as a report, a document, a slip, etc. Included up to. In general, the output is provided to the end user 120 or used for analysis in the information system.

Here, the management criteria for the storage space of the user 120 view management object, the paper output is an important data storage tool that can store the value of the data in preparation for the damage of the digital data or because the recovery rate in case of accident is very low Since the management of the output of the form may require a lot of cost and manpower, it is preferable that the management of the output is in parallel to manage the output in the form of images rather than the management of the paper state.

In the method for managing the output of the user 120 view management target, since most of the output is provided through the user 120 screen, managing the screen replaces quality management of the output. However, when there is no user 120 screen, it is preferable to manage the work related to the output generation and the output (for example, the scanned output) through the system management tool.

2 is a diagram showing the configuration of an enterprise-wide data quality management system according to an embodiment of the present invention.

In more detail, FIG. 2 illustrates a user 120, a database administrator 115, a modeler 110, and data based on the data quality management framework illustrated in FIG. Quality management entities including a Data Administrator (DA) and a Chief Information Officer (CIO) interoperate with each other to correspond to Data Value and Data Hierarchy. The data quality management system, characterized in that to manage the quality control object in accordance with the data management process, if one of ordinary skill in the art to which the present invention belongs, refer to and / or modified the present invention 2 Although it is possible to infer various data quality management system configurations operating based on the data quality management framework shown in FIG. All are included, and not limited to the embodiment shown in FIG.

For example, the data quality management system illustrated in FIG. 2 uses the data quality management framework illustrated in FIG. 1 to determine the quality of at least one or more databases included in the DBMS 225 in association with a predetermined DBMS 225. The DBMS 225 may be implemented in the form of a server system including at least one or more servers to be managed for each quality control entity on the basis of the data management entity, and / or in connection with a DBMS 225 provided in a predetermined institution and / or an institution. Components included in an enterprise computer system for managing the quality of at least one database provided in each quality control entity based on the data quality management framework shown in FIG. 1 (eg, each institution and / or company). It is possible to all be implemented in the form of components included in the ERP system provided in the present invention, thereby It shall not be limited.

Referring to FIG. 2 according to an embodiment of the present invention, the data quality management system includes at least one or more terminals used by at least one or more quality control entities, and at least one or more quality control entities are shown in FIG. And at least one quality management module configured to interoperate with each other according to the framework to manage the predetermined DBMS 225, wherein the quality management module is based on the data quality management framework shown in FIG. It is characterized in that associated with at least one DBMS (225) to be managed.

At least one terminal used by at least one quality control entity corresponding to the data quality management framework includes a CIO terminal used by the chief information officer 100 (CIO) on the data quality management framework and the data quality management frame. The DA terminal used by the data management officer 105 (DA) on the work, the modeler 110 terminal used by the modeler 110 on the data quality management framework, and the database manager (DBA) on the data quality management framework And a user 120 terminal used by the user 120 on the data quality management framework.

Here, each terminal used by the quality management subject on the data quality management framework is not a terminal that is physically classified, but a terminal for each quality management subject on the data quality management framework to access each quality management module. It is made to include.

Each terminal used by the quality control entity on the data quality management framework is a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (eg, Asymmetric Digital Subscriber Line (ADSL) / Very high-data rate). Or at least one wired terminal including a desktop computer and / or a notebook, which is communicatively connected to the quality management module via a digital subscriber line and / or a cable communication network, and / or code division multiple access (CDMA). And at least one wireless terminal including at least one mobile communication terminal connected to a mobile communication network based on the base station, and / or a portable internet terminal connected to the IEEE 802.16x based high-speed wireless internet. The terminal may include at least one quality control interface provided by each quality control module. It is preferable that a function configuration (eg, a browser program and a communication function) is provided for outputting a screen and for inputting and / or selecting at least one or more information through the quality control interface screen. .

Those skilled in the art to which the present invention pertains can easily infer the characteristics of the terminal corresponding to at least one or more wired terminals and / or wireless terminals, and thus a detailed description thereof will be omitted for convenience.

According to an embodiment of the present invention, each terminal used by the quality control entity on the data quality management framework is characterized in that access to each quality management module through a predetermined interface means.

For example, the data quality management system may control the quality of at least one or more databases included in the DBMS 225 in association with a predetermined DBMS 225 based on the data quality management framework shown in FIG. 1. When including a server system including at least one or more servers to be managed by each subject, the interface means may comprise a wired or wireless communication network (or communication means) connecting the terminal and the server.

Alternatively, the data quality management system may determine the quality of at least one or more databases provided in the DBMS 225 in association with a DBMS 225 provided in a predetermined institution and / or an institution. In the case of including a component included in an enterprise computer system (eg, a component included in an ERP system provided in each institution and / or company) to manage each quality management entity based on a framework, the interface means It may include a wired and wireless communication network (or communication means) connecting the terminal and the enterprise computer system and the enterprise computer system accessed by the terminal.

The CIO terminal used by the chief information officer 100 (CIO) of the quality control entities on the data quality management framework is characterized in that access to the CIO quality management module 200 through a predetermined interface means, the CIO quality The management module 200 connects and manages an interface channel for data quality management for the DBMS 225 based on the CIO terminal and the data quality management framework shown in FIG. 1 through the interface means. It is characterized by comprising a.

According to an embodiment of the present invention, when the CIO terminal is a wired terminal, the interface function connects a predetermined interface channel with the CIO terminal based on a Hyper-Text Transfer Protocol (HTTP) protocol, and through the interface channel. Transmitting and outputting a quality control policy setting interface screen and / or an information providing screen in the form of a Hyper-Text Markup Language (HTML) compatible document to the CIO terminal, and inputting (or using the quality management policy setting interface screen from the CIO terminal) It is preferable to perform a function of receiving and processing the selected predetermined quality control policy information.

According to another embodiment of the present invention, when the CIO terminal is a CDMA-based wireless terminal, the interface function is a predetermined interface based on the CIO terminal and a WAP (Wireless Application Protocol) and / or ME (Mobile Explorer) protocol. Connect a channel, and transmit and output a quality management policy setting interface screen and / or an information providing screen in the form of a wireless markup language (WML) and / or HTML compatible document to the CIO terminal through the interface channel, and output from the CIO terminal. It is preferable to perform a function of receiving and processing predetermined quality control policy information corresponding to the quality control policy setting interface screen.

According to another embodiment of the present invention, if the CIO terminal is an IEEE 802.16x based wireless terminal, the interface function connects a predetermined interface channel based on the CIO terminal and a wireless protocol corresponding to the IEEE 802.16 standard. And transmits and outputs a predetermined quality control policy setting interface screen and / or information providing screen to the CIO terminal through the interface channel, and outputs a predetermined quality management policy corresponding to the quality management policy setting interface screen from the CIO terminal. It is desirable to perform a function of receiving and processing information.

Referring to FIG. 2, the CIO quality management module 200 displays a predetermined quality management policy setting interface screen for inputting (or selecting) predetermined quality management policy information from the CIO terminal in connection with the interface function. Receives an interface processing function to generate (or extract) and provides quality management policy information input (or selected) and transmitted from the CIO terminal through the quality management policy setting interface screen in association with the interface function, and receiving the received information. And a policy setting function for storing the quality control policy information in a predetermined storage medium.

The interface processing function corresponds to a function configuration (eg, a browser program provided in the CIO terminal) provided in the CIO terminal when a predetermined CIO terminal approaches the CIO quality management module 200 through the interface function. Generate (or select) quality control policy information of the predetermined quality control policy setting interface screen which can be transmitted to the CIO quality management module 200 through the network means, and / or a predetermined DB (not shown). And the quality management policy setting interface screen generated (or extracted) in association with the interface function to the CIO terminal through the network means.

Thereafter, the CIO terminal inputs (or selects) predetermined quality control policy information based on the quality management policy setting interface screen, and inputs the input (or selected) quality control policy information through the network means. Transmission to the management module 200.

The policy setting function inputs (or selects) predetermined quality control policy information through the quality management policy setting interface screen in the CIO terminal and provides the same through the interface means. And receiving the quality control policy information in a predetermined storage medium provided in the CIO quality management module 200.

The DA terminal used by the data management officer 105 (DA) among the quality control subjects on the data quality management framework accesses the DA quality management module 205 through a predetermined interface means. The management module 205 connects and manages an interface channel for data quality management for the DBMS 225 based on the data quality management framework shown in FIG. 1 with the DA terminal through the interface means. It is characterized by comprising a.

According to an embodiment of the present invention, when the DA terminal is a wired terminal, the interface function connects a predetermined interface channel based on the Hyper-Text Transfer Protocol (HTTP) protocol with the DA terminal, and through the interface channel. A predetermined quality control interface screen in the form of a Hyper-Text Markup Language (HTML) compatible document and / or an information providing screen is transmitted to the DA terminal and output, and a predetermined input (or selected) is input from the DA terminal through the quality management interface screen. It is preferable to perform a function of receiving and processing DA quality control information.

According to another exemplary embodiment of the present invention, when the DA terminal is a CDMA-based wireless terminal, the interface function is based on a predetermined interface based on the WAP (Wireless Application Protocol) and / or ME (Mobile Explorer) protocol. A channel is connected, a quality control interface screen and / or an information providing screen in the form of a Wireless Markup Language (WML) and / or HTML compatible document is transmitted to the DA terminal through the interface channel, and is output. It is preferable to perform a function of receiving and processing predetermined DA quality management information corresponding to the management interface screen.

According to another exemplary embodiment of the present invention, when the DA terminal is an IEEE 802.16x based wireless terminal, the interface function connects a predetermined interface channel with the DA terminal based on a wireless protocol corresponding to the IEEE 802.16 standard. And transmit and output a predetermined quality control interface screen and / or information providing screen to the DA terminal through the interface channel, and receive and process predetermined DA quality management information corresponding to the quality management interface screen from the DA terminal. It is desirable to perform the function.

Referring to FIG. 2, the DA quality management module 205 inputs (or stores) at least one DA quality management operation information and predetermined DA quality management information at the DA terminal in association with the interface function. An interface processing function for generating (or extracting) a predetermined quality management interface screen to be transmitted) and inputting (or selecting) the DA through the quality management interface screen from the DA terminal through the interface function. When the DA quality management information is received, the DA policy check function for confirming the quality management policy information corresponding to the DA quality management information from the storage medium provided in the CIO quality management module 200 is characterized in that it comprises a .

The DA quality management module 205 may include a data extraction function for extracting at least one or more standard data corresponding to the DA quality management information from the quality management management DBMS 225, and the quality management management DBMS ( And a data structure checking function for identifying at least one or more conceptual data model information and / or data reference model information corresponding to the DA quality management information.

In addition, the DA quality management module 205 is based on the DA quality management operation information stored in the storage medium and the quality management policy information shown in the data management framework shown in FIG. And a data quality management function for managing at least one or more standard data extracted through the data extraction function according to the data management process.

In addition, the data quality management function is a data management process on the data quality management framework shown in FIG. 1 based on the DA quality management operation information stored in the storage medium and the quality management policy information confirmed by the DA policy checking function. And the conceptual data model information and / or data reference model information identified by the data structure checking function.

According to the exemplary embodiment of the present invention, the DA quality management operation information stored in the storage medium included in the DA quality management module 205 corresponds to the DA quality management information from the quality management management target DBMS 225. It is preferable to include at least one or more information for managing at least one or more standard data is extracted.

The DA quality management operation information may include a standard word dictionary, a standard domain dictionary, a standard term dictionary, a standard code, and a data standard element.

According to the implementation method of the present invention, the standard word dictionary of the DA quality management operation information is a dictionary which defines a word of the minimum unit which is used in a company or an institution and has a certain meaning. Or by convention, using the same word in different meanings (for example, when you transfer assets to "acquisitors", where you give and receive "conciliators" in opposite ways, or in a single word). It is desirable to prevent problems such as using various meanings (eg, "processors").

Here, it is preferable that the management criteria for the standard word dictionary of the DA quality management operation information include standardity, referenceability, generality, representativeness, and the like.

Standardity of the management criteria for the standard word dictionary of the DA quality management operation information, the standard word defined in the standard word dictionary is a word in a dictionary meaning commonly used or generally used in the scope of work targeted by the information system. It should be extracted from the middle, including overworking or dialects, and minimizing the use of abbreviations.

In addition, the possibility of reference to the management criteria for the standard word dictionary of the DA quality management operation information includes that the standard word defined in the standard word dictionary can be referred to when defining a new task in the company or institution. Is done.

In addition, the generality of the management criteria for the standard word dictionary of the DA quality management operation information includes that the standard word defined in the standard word dictionary is not significantly different from the general word so that the general person can understand the meaning of the word. It is done by

In addition, the representativeness of the management criteria for the standard word dictionary of the DA quality management operation information, standard words defined in the standard word dictionary may have synonyms, but words declared as standard words may represent synonyms having similar meanings. To make it possible.

In the method for managing the standard word dictionary of the DA quality management operation information, the standard word is extracted based on entities and attributes managed throughout the enterprise as individual units, and the physical name (English name, English abbreviation) is based on the logical name (Korean name). Name), and similar terms are collectively managed together, and the standard word dictionary is preferably managed so that the structure of words such as synonyms, synonyms, antonyms, and the like is defined together.

According to an embodiment of the present invention, the standard domain dictionary of the DA quality management operation information is a dictionary defining a range of values satisfying a condition defined in an attribute of domain, wherein the standard domain is used throughout the enterprise. It is desirable to group logically and physically similar types of data among the data to define the type and length of data belonging to that group.

Here, it is preferable that the management criteria for the standard domain dictionary of the DA quality management operation information include standardity, uniqueness, work orientation, and the like.

The standardization of the management criteria for the standard domain dictionary of the DA quality management operation information may be such that the standard domain defined in the standard domain dictionary is defined for attributes that are commonly used at the enterprise level. For example, it is preferable to define and use a standard domain because the account number of the bank does not vary depending on the bank subtask or the financial product.

In addition, the uniqueness of the management criteria for the standard domain dictionary of the DA quality management operation information includes managing so that duplicate domains of the same contents among the standard domains defined in the standard domain dictionary are not declared under different names. .

In addition, the uniqueness of the management criteria for the standard domain dictionary of the DA quality management operation information includes declaring and managing each domain defined in the standard domain dictionary to sufficiently reflect the characteristics of the business. For example, it is preferable to express the domain of the bank account number using '-' to indicate a proper meaning rather than defining without '-'.

The method for managing the standard domain dictionary of the DA quality management operation information includes extracting and grouping attributes implemented in the same form in the DBMS 225 among all data attributes or representative attributes managed throughout the enterprise and standardizing domains. To be declared, and all attributes must be assigned to any domain, but not to multiple assignments to at least one domain, wherein the domain consists of a plurality of subdomains (composite domains) or a single domain It can be managed to be used repeatedly in two domains, the property and domains are managed to be mapped to each other, and when a new property is added, it is recommended to select and register the domain of the property. Enable this only if no attributes are using the domain. That administration is preferred.

According to an embodiment of the present invention, the standard term dictionary of the DA quality management operation information is a dictionary that defines at least one term that is frequently used in a business and includes at least one term defined by combining standard words. The words are individual, but the terminology can vary depending on the nature of the task and organization. By defining the standard terminology dictionary, it is possible to minimize problems caused by lack of understanding or confusion when terminology requires communication between different tasks within an institution or an enterprise.

Here, it is preferable that the management criteria for the standard term dictionary of the DA quality management operation information include standardity, generality, work orientation, and the like.

The standard of the management criteria for the standard term dictionary of the DA quality management operation information may include minimizing enterprise-wide confusion caused by a difference in terms used or meanings defined in the standard term dictionary.

In addition, the generality of the management criteria for the standard term dictionary of the DA quality management operation information is such that the term defined in the standard term dictionary is not defined too much in terms of business and intuitively difficult to understand or cause semantic confusion. It is made to include. In other words, terms used differently from the general meaning should be replaced with other terms.

In addition, the work orientation of the management criteria for the standard term dictionary of the DA quality management operation information, including that the terms defined in the standard term dictionary can be used by using an abbreviation or separately defined internally to reflect the task Is done. However, excessive use of abbreviations or the development of new terms should not undermine the understanding of the work.

In the method for managing the standard term dictionary of the DA quality management operation information, the standard term is managed to generate a combination of the words defined in the standard word dictionary for the term of the entity and the attribute being used throughout the enterprise. The dictionary is defined and managed by dividing it into entity term dictionary and attribute term dictionary, and each term has logical name (Korean name) and physical name (English name), and includes and manages explanation of term scope and qualification form. It is preferable.

According to the exemplary embodiment of the present invention, the standard code of the DA quality control operation information means that the standard code of the DA quality management operation information is replaced with a symbol within a limited range according to a standard defined for shaping various data values. Not only codes that are legally and institutionally assigned to each industry but are commonly used, codes that are defined and used internally by organizations or companies are targeted.

Here, it is preferable that the management criteria for the standard code of the DA quality management operation information include reusability, consistency, uniqueness, information analysis, and the like.

The reusability of the management standards for the standard codes of the DA quality management operation information is higher than that of the standard organizations, the governments, and the public rather than the codes defined by the institutions or companies themselves in order to improve the understanding of the data and to facilitate the code management. This includes the use of code defined by the organization.

Consistency of the management criteria with respect to the standard code of the DA quality management operation information includes that the code corresponding to the standard code is used consistently with a single value. For example, 'Y / N' or '1/0', etc. should not be used in combination.

In addition, the uniqueness of the management criteria for the standard code of the DA quality management operation information includes that the code corresponding to the standard code is uniquely defined. If the work code is duplicated, it can cause serious problems of inconsistency with data at the enterprise level.

In addition, the information analysis of the management standard with respect to the standard code of the DA quality management operation information includes the management of all the data in the range possible. In other words, the higher the weight of the value entered by referring to the code than the value directly entered as text, the easier it is to obtain valuable results when analyzing information.

The method for managing the standard code of the DA quality control operation information is to analyze the code used throughout the enterprise and the standardization code of the standardization organization or the government and public institutions to determine whether to use the standardization code, and the code is standardized. Should be managed by the team according to strict standards and should not be created or modified by the user (120) arbitrarily, and the code should be closely related to the domain, but the range of values is clearly defined in the domain. (E.g., whether or not 'is indicated by' Y / N ') is preferably managed so as not to code and manage.

According to an embodiment of the present invention, the data standard element of the DA quality management operation information refers to a standard for data related elements required to design and build a system, and the data related element standard object is a subject of a logical data model. Realm, entity, attribute relationship name, Subject Areas, Relationships, Database & Instance, Indices, Constraints, Sequences, User-Defined Procedures & Functions, Synonyms, Views, Rollback Segments, Tablespaces, File Names, Script Names, etc. Includes naming conventions.

The system operation may have a mixture of essential elements necessary only for system operation and elements generated by the system operator. The management criteria for data standard elements of the DA quality management operation information are essential elements for the system operation. It is made, including.

For example, elements that simply load the result of the program execution are necessary for backtracking when problems occur, but are not essential elements of system operation, and selection criteria of the management target among the data related elements are essential elements for system operation. Be able to be the primary target.

The method for managing data standard elements of the DA quality control operation information includes managing to accurately select the elements necessary for operating the system, and extracting the elements necessary for the design and construction of the system to define the elements requiring standards and the elements. It is advisable to manage to define business standards for.

According to the exemplary embodiment of the present invention, the DA quality management operation information stored in the storage medium provided in the DA quality management module 205 includes conceptual data model management information and / or data reference model management information. It is preferable.

The conceptual data model management information includes a subject area, a core entity, a core relationship, and the like.

According to the method of the present invention, the subject area of the conceptual data model management information means a data set having high business intimacy.

Here, it is preferable that the management criteria for the subject area of the conceptual data model management information include atomicity, concentration, work orientation, and the like.

The atomicity of the management criterion for the subject area of the conceptual data model management information is such that the predetermined unit subject area includes a group of entities that are not affected by an entity or a relationship of another subject area as much as possible.

In addition, the centralization of the management criteria in the subject area of the conceptual data model management information may include causing the relationship with the entities in the unit subject area to be concentrated in the unit subject area.

In addition, the work orientation of the management criteria for the subject area of the conceptual data model management information may include naming the subject area in a singular unit representing business clarity.

In the method for managing the subject area of the conceptual data model management information, a set of entity areas which are more effective to deal with in the same area of business are declared as one subject area, and the subject areas are managed to be divided into several according to the variety of tasks. In addition, although the scope of clearly distinguishing tasks may be defined as one subject area, it is desirable to manage the number of entities shared between different subject areas as much as possible.

According to an embodiment of the present invention, the core entity of the conceptual data model management information is a data set to be managed in the business area, and should have two or more attributes and two or more data instances. It is a homogeneous, independent data set and corresponds to a data unit that exists permanently. Among them, the key entity, the core entity, which is the main entity, is a high-level entity that is the basis of a task and can create a number of child (task, transaction) entities.

Here, it is preferable that the management criteria for the core entity of the conceptual data model management information include aggregation, identification, persistence, usability, relationship, and the like.

Aggregation of management criteria for key entities of the conceptual data model management information comprises such that the entity consists of a set of data having two or more attributes and two or more data instances.

In addition, the identification of the management criteria for the core entity of the conceptual data model management information includes that the entity can uniquely distinguish each data instance of the entity by one or more attributes.

In addition, the persistence of the management criteria for the core entity of the conceptual data model management information is a data set that must exist permanently according to the activity cycle of the task, the data that must disappear or be generated when the contents of the task are changed. Aggregates are inappropriate for declaring and managing as such entities.

In addition, the usability of the management criteria for the core entity of the conceptual data model management information is a data set that must be used within the business scope, and if declared but not used, there is no value as an entity.

In addition, the relationship between the management criteria for the core entity of the conceptual data model management information includes that the entity must have a relationship with another entity, and the entity without a relationship may be an unused entity. Violation of usability.

The method for managing the core entity of the conceptual data model management information, the entity is managed to be collected from a document, a journal, an interview, a related technical book, a DFD, another system, a report, a field survey, and the entity is logical Declare it correctly by dividing it into units, but manage it so that one entity looks semantically different so that it is not duplicated (i.e. if one entity looks different depending on its state, identify the homogeneity of the data and declare it as one entity as a subtype). Should be managed).

According to the implementation method of the present invention, the core relationship of the conceptual data model management information indicates a logical relationship between the core entities, and the business rule that affects the existence form or mutual influence of the entities in the present or near future. It expresses a useful relationship in a limited way, and has a relationship name, an optional specification, and a relationship type. In the relational data model, the relationship must exist between entities.

Here, it is preferable that the management criteria for the core relationship of the conceptual data model management information include selectivity, formability, work orientation, and the like.

The selectivity of the management criteria for the key relationship of the conceptual data model management information includes the relationship being able to distinguish 'required' and 'selection'.

In addition, the form nebula of the management criteria for the core relationship of the conceptual data model management information, the relationship is made to include the definition (degree) of 1: 1, 1: M, N: M to be managed.

In addition, the business orientation of the management criteria for the core relationship of the conceptual data model management information clearly indicates how the relationship between the two entities affects each other (ie, the existence of an instance of a child entity must If the existence of the parent instance is required but the existence of the child instance is not affected, then the relationship may be made to clearly express the effect of the existence between such parent and child entities.

In the method for managing the core relationship of the conceptual data model management information, the core relationship may maintain the M: M relationship as it is in the conceptual data model step and manage the M: M relationship to include the resolved entity. The relationship name between parent and child must be defined to be defined, and the relationship name must be specific, and the relationship between the parent (parent) and the receiver (child) between entities must be clearly defined, and the data having the relationship must exist. It is preferable to manage so that selectivity for the case where there is no target data having a relationship with the case, and manage to be able to clearly express the form of the relationship between the predetermined data and one or more data.

Referring to FIG. 1 according to an embodiment of the present invention, an overview data model may be placed on top of the conceptual data model according to the intention of a person skilled in the art, wherein the overview data model may include a data area and a data set in a work area. Defined from an enterprise-wide perspective, but not limited to, and / or each data region has a relationship with other data regions, and / or more primized attributes that are commonly used in the public interest rather than the interests of an institution or company. It is possible to define at the level of form.

The data reference model management information is a reusable data model. The attribute reference unit, entity, and entire business area unit may also be data reference models. Conceptual data models, logical data models, and physical data models can also be scopes of data reference models.

Here, it is preferable that the management criteria for the data reference model include generality, simplicity, standardity, accuracy, information availability, and classification.

The generality of the management criteria for the data reference model includes information on specific data of a specific task, and defines and manages something that can be referred to in various work areas in general.

In addition, the simplicity of the management criteria for the data reference model includes not limited to a specific task so as to maximize the utility.

In addition, the standard of the management criteria for the data reference model includes the data term being expressed to maximize the reference usability of the data model using terms that can be understood at a common sense and general level.

In addition, the accuracy of the management criteria for the data reference model includes that the information to be managed is accurate only as a model having the nature of reference.

In addition, the information availability of the management criteria for the data reference model includes not only the relationship between entities, but also the entity and the definition of the entity, the data management rules of the entity, and the attribute definition can be stored and referenced together.

In addition, the classification of the management criteria for the data reference model is made to be classified not only within the work area and industry, but also within each step of the data structure and the scope of the data reference model.

The method for managing the data reference model is preferably defined in a central organ or upper organization and managed to be shared and shared by the lower organ or organization.

The interface processing function corresponds to a function configuration (eg, a browser program provided in the DA terminal) provided to the DA terminal when a DA terminal approaches the DA quality management module 205 through the interface function. Generate (or select) DA quality management information of a predetermined quality management interface screen which can be transmitted to the DA quality management module 205 via the network means, and / or from a predetermined DB (not shown). And the quality management interface screen generated (or extracted) in association with the interface function is provided to the DA terminal through the network means.

Thereafter, the DA terminal inputs (or selects) predetermined DA quality management information based on the quality management interface screen, and inputs the input (or selected) DA quality management information through the network means to the DA quality management module. And transmits to 205.

The DA policy checking function is provided through the interface means by inputting (or selecting) predetermined DA quality management information through the quality management interface screen in the DA terminal, and in conjunction with the interface function, the CIO quality management module ( And extracting and confirming predetermined quality control policy information corresponding to the DA quality management information from a storage medium provided at 200, wherein the predetermined quality control policy information corresponding to the DA quality management information is the data quality. It is provided as a management function.

The data extracting function may extract at least one or more standard data corresponding to the DA quality management information from the quality control management target DBMS 225, and the standard data may be extracted from the DA quality management module 205. It refers to standard related data that is defined and used in common format and contents for terms, domains, codes and other data related elements. It is an essential element to secure data quality of the information system. In addition, it is characterized by preventing data inconsistency and data errors and improving the understanding of the data. Also, it is possible to implement data integration efficiently by implementing a single and standardized information system at the institutional or enterprise level. do.

The data structure checking function may identify at least one or more conceptual data model information and / or data reference model information corresponding to the DA quality management information from the quality control management target DBMS 225. Means a model that defines a subject area and a core data set of data satisfying the business requirements of the DA quality management module 205 and defines a relationship therebetween, wherein the data reference model includes: Standard data sets and management items are defined for each business area and subject area for the purpose of mutual operation of data models used by each organization and reference and reuse of other organizational data models for data architecture construction and maintenance of applied information systems. The data model.

The data quality management function is based on the data management process on the data quality management framework shown in FIG. 1 based on the DA quality management operation information stored in the storage medium and the quality management policy information confirmed by the DA policy checking function. Manage at least one or more standard data extracted through the data extraction function and / or based on the quality control policy information confirmed by the DA policy management function and DA quality management operation information stored in the storage medium; Managing conceptual data model information and / or data reference model information identified by the data structure checking function according to a data management process on the data quality management framework shown in FIG. It will be described in detail through a flowchart.

The modeler 110 terminal used by the modeler 110 among the quality control subjects on the data quality management framework may access the modeler quality control module 210 through a predetermined interface means. An interface 210 connects and manages an interface channel for data quality management for the DBMS 225 based on the data quality management framework shown in FIG. 1 and the modeler 110 through the interface means. It is characterized by comprising a function.

According to an embodiment of the present invention, when the modeler 110 terminal is a wired terminal, the interface function connects a predetermined interface channel with the modeler 110 terminal based on HTTP (Hyper-Text Transfer Protocol) protocol. And transmits and outputs a quality control interface screen and / or an information providing screen in the form of a Hyper-Text Markup Language (HTML) compatible document to the modeler 110 terminal through the interface channel, and outputs the quality from the modeler 110 terminal. It is preferable to perform a function of receiving and processing predetermined modeler 110 quality management information input (or selected) through a management interface screen.

According to another exemplary embodiment of the present invention, when the modeler 110 terminal is a CDMA-based wireless terminal, the interface function may correspond to the modeler 110 terminal and a WAP (Wireless Application Protocol) and / or ME (Mobile Explorer) protocol. Connect a predetermined interface channel based on the above, and transmit the quality management interface screen and / or information providing screen in the form of a WML (Wireless Markup Language) and / or HTML compatible document to the modeler 110 through the interface channel It is preferable to perform a function of outputting and receiving processing of predetermined modeler 110 quality management information corresponding to the quality management interface screen from the modeler 110 terminal.

According to another embodiment of the present invention, when the modeler 110 terminal is an IEEE 802.16x based wireless terminal, the interface function is based on the wireless protocol corresponding to the modeler 110 terminal and the IEEE 802.16 standard. Connects a predetermined interface channel, transmits and outputs a predetermined quality control interface screen and / or information providing screen to the modeler 110 terminal through the interface channel, and outputs the quality management interface screen from the modeler 110 terminal. It is preferable to perform a function of receiving and processing the predetermined modeler 110 quality management information corresponding to.

Referring to FIG. 2, the modeler quality management module 210 stores a storage medium storing at least one modeler 110 quality management operation information, and a predetermined modeler at the terminal of the modeler 110 in association with the interface function. 110) an interface processing function for generating (or extracting) a predetermined quality management interface screen for inputting (or selecting) and transmitting quality management information and providing the quality management information from the modeler 110 terminal through the interface function; When the modeler 110 quality management information transmitted by inputting (or selecting) through an interface screen is received, quality control corresponding to the modeler 110 quality management information from a storage medium included in the CIO quality management module 200 is received. The modeler 110 confirms the policy information.

In addition, the modeler quality management module 210, a data extraction function for extracting at least one or more model data corresponding to the modeler 110 quality management information from the quality management management target DBMS 225, and the quality control management And a data structure checking function for confirming at least one or more logical data model information corresponding to the modeler 110 quality management information from the target DBMS 225.

In addition, the modeler quality management module 210 is shown in FIG. 1 based on the modeler 110 quality management operation information stored in the storage medium and the quality management policy information confirmed by the modeler 110 policy check function. And a data quality management function for managing at least one model data extracted through the data extraction function in accordance with a data management process on the data quality management framework.

In addition, the data quality management function is based on the modeler 110 quality management operation information stored in the storage medium and the quality management policy information confirmed by the modeler 110 policy check function, the data quality management shown in FIG. And managing the logical data model information identified by the data structure checking function in accordance with a data management process on the framework.

According to the exemplary embodiment of the present invention, the modeler 110 quality management operation information stored in the storage medium included in the modeler quality management module 210 is transferred from the quality control management target DBMS 225 to the modeler 110. ) At least one or more pieces of information for managing at least one or more model data extracted corresponding to the quality management information.

Herein, the management criteria of the model data through the modeler 110 quality management operation information may include completeness, consistency, traceability, correlation, freshness, compatibility, and the like.

Integrity of the management criteria of the model data includes making the model data include metadata for data structures of all stages such as conceptual data models, logical data models, physical data models, databases.

In addition, the consistency of the management criteria of the model data includes that the model data is defined in compliance with words, terms, domains and data standard elements.

In addition, the traceability of the management criteria of the model data, the model data comprises that it is easy to track the change history of the data model and to meet the utilization requirements for the historical data model.

In addition, the correlation between the management criteria of the model data, the model data comprises to represent the inter-relationship between the data models to manage the data structure in a three-dimensional structure.

In addition, the up-to-dateness of the management criteria of the model data includes making the model data logically match not only the business rules expressed in the step-by-step data model but also the database implemented in the actual system.

In addition, the compatibility of the management criteria of the model data includes that the model data is compatible with the standard data and the management data.

In the method for managing the model data, the data structure and the model data representing the structure should be managed separately, and if the data model is changed, the data model before and after the change is, of course, the affected application and SQL (Structured) It is desirable to manage the history of Query Language together.

According to the exemplary embodiment of the present invention, the modeler 110 quality management operation information stored in the storage medium included in the modeler quality management module 210 may include logical data model management information.

Here, the logical data model management information includes a subject area, an entity, a relationship, an attribute, and the like.

According to an embodiment of the present invention, the subject area of the logical data model management information is to declare and manage a data set having high business intimacy as one subject area.

Here, the management criteria for the subject area of the logical data model management information, the subject area management criteria and method of the logical data model preferably follows the concept data model subject area management criteria.

According to an embodiment of the present invention, the entity of the logical data model management information may include sub-type information including definitions of a conceptual data model and in which history management, homogeneity, and independence information are identified in more detail.

Here, it is preferable that the management criteria for the entity of the logical data model management information include completeness, persistence, identification, homogeneity, normalization, and the like.

The completeness of the management criteria for the entities of the logical data model management information comprises maintaining two or more attributes and two or more instances in the respective data sets.

In addition, the persistence of the management criteria for the entities of the logical data model management information is to include a data set that is currently managed or a data set to be managed in the future.

In addition, the identification of the management criteria for the entity of the logical data model management information comprises the presence of one or more attributes that can individually distinguish instances of the entity.

In addition, the homogeneity of management criteria for the entities of the logical data model management information is such that the entity, which is a predetermined data set, includes a data set in which homogeneous data is collected.

In addition, normalization of the management criteria for the entity of the logical data model management information includes making the entity generally normalize up to the third normalization.

The method for managing the entity of the logical data model management information follows the method for managing the conceptual data model, and it is preferable to add and manage detailed information such as an entity definition and a data generation rule according to the detail of the information.

According to the embodiment of the present invention, the relationship of the logical data model management information includes the definition of the conceptual data model, and means that all M: M relationships are resolved in the detailed logical data model step.

Here, it is preferable that the management criteria for the relationship of the logical data model management information include the selectivity, the relationship type, the relationship name, and the like.

The selectivity of the management criteria for the relationship of the logical data model management information includes making the relationship be divided into mandatory and optional, wherein the mandatory relationship must have an instance with the relationship present in the entity. Means.

In addition, the relationship form of the management criteria for the relationship of the logical data model management information includes that the relationship can have a relationship of 1: 1 or 1: M, M: N.

In addition, the relationship name of the management criterion for the relationship of the logical data model management information may be omitted in the expression when the relationship is clear, but in general, it is necessary to have a relationship name when establishing the relationship between the entities. It is made to include.

In the method of managing the relationship of the logical data model management information, it is preferable to manage to follow the method of managing the conceptual data model, and to define and manage the business rules contained in the relationship in detail.

According to an embodiment of the present invention, the attribute of the logical data model management information means information items to be managed in an entity.

Here, it is preferable that the management criteria for the attributes of the logical data model management information include atomicity, consistency, integrity, informationality, and the like.

The atomicity of the management criteria for the attributes of the logical data model management information should be divided up to a meaningful minimum unit, and one attribute includes information of several states at the same time.

In addition, the consistency of the management criteria for the attributes of the logical data model management information, the predetermined attribute is made to include one data type and manages only one data.

The integrity of the management criteria for the attributes of the logical data model management information includes making the data of the referenced attribute coincide with the data of the attribute referring to the attribute.

The informationality of the management criteria for the attributes of the logical data model management information includes making the level of detailing determined within a meaningful range within the task.

The method of managing the attributes of the logical data model management information may include managing the attributes not to be indiscriminately increased according to a request of the user 120 after the attributes are initially determined within the scope of the management item of the entity, and the attributes may be When it is not possible to extract from the information, it is desirable to manage it so that it can be added newly and the entity can be added according to the specification of the attribute.

The interface processing function is a function configuration (eg, modeler 110 terminal) provided in the modeler 110 terminal when a predetermined modeler 110 terminal approaches the modeler quality management module 210 through the interface function. A predetermined quality control interface screen which can input (or select) predetermined modeler 110 quality management information corresponding to the provided browser program) and transmit it to the modeler quality management module 210 through the network means. And / or extract from a predetermined DB (not shown), and provide the generated quality management interface screen to the modeler 110 terminal through the network means in conjunction with the interface function. do.

Thereafter, the modeler 110 inputs (or selects) predetermined modeler 110 quality management information based on the quality management interface screen, and receives the input (or selected) quality control information of the modeler 110. Send to the modeler quality management module 210 via a network means.

The modeler 110 policy check function is provided through the interface means by inputting (or selecting) predetermined modeler 110 quality management information from the modeler 110 terminal through the quality management interface screen. And extracting and confirming predetermined quality control policy information corresponding to the quality control information of the modeler 110 from a storage medium provided in the CIO quality management module 200, and the quality of the modeler 110. Predetermined quality management policy information corresponding to the management information is provided to the data quality management function.

The data extraction function may extract at least one or more model data corresponding to the modeler 110 quality management information from the quality management management target DBMS 225, wherein the model data is the data quality management framework. Refers to the data required to operate and manage the data model on the information system to which the data is applied. This includes data reference model, conceptual data model, logical data model, metadata about physical data model, and DBMS 225 object information. .

The data structure checking function may check at least one or more logical data model information corresponding to the modeler 110 quality management information from the quality management management target DBMS 225, wherein the logical data model is the data. The conceptual data model of the information system to which the quality management framework is applied is a detailed model that defines logical data sets, management items, and relationships.

The data quality management function is based on the modeler 110 quality management operation information stored in the storage medium and the quality management policy information confirmed by the modeler 110 policy checking function. Managing at least one or more model data extracted through the data extraction function according to a data management process on the data, and / or by the modeler 110 quality management operation information and the modeler 110 policy checking function stored in the storage medium. And managing the logical data model information identified by the data structure checking function according to the data management process on the data quality management framework shown in FIG. 1 based on the confirmed quality management policy information. The description is described in detail with the flowchart shown below.

The DBA terminal, which is used by a database administrator (DBA) among the quality management entities on the data quality management framework, accesses the DBA quality management module 215 through a predetermined interface means, and the DBA quality management module 215 ) Has an interface function for connecting and managing an interface channel for data quality management for the DBMS 225 based on the DBA terminal and the data quality management framework shown in FIG. 1 through the interface means. It is characterized by.

According to an embodiment of the present invention, when the DBA terminal is a wired terminal, the interface function connects a predetermined interface channel with the DBA terminal based on a Hyper-Text Transfer Protocol (HTTP) protocol and through the interface channel. A predetermined quality control interface screen and / or information providing screen in the form of a Hyper-Text Markup Language (HTML) compatible document is transmitted to the DBA terminal, and is input (or selected) through the quality management interface screen from the DBA terminal. It is desirable to perform a function of receiving and processing DBA quality management information.

According to another embodiment of the present invention, when the DBA terminal is a CDMA-based wireless terminal, the interface function is a predetermined interface based on the DBA terminal and a WAP (Wireless Application Protocol) and / or ME (Mobile Explorer) protocol. Connect a channel, transmit and output a quality management interface screen and / or an information providing screen in the form of a Wireless Markup Language (WML) and / or HTML compatible document to the DBA terminal through the interface channel, and output the quality from the DBA terminal. It is preferable to perform a function of receiving and processing predetermined DBA quality management information corresponding to the management interface screen.

According to another embodiment of the present invention, when the DBA terminal is an IEEE 802.16x based wireless terminal, the interface function connects a predetermined interface channel based on the DBA terminal and a wireless protocol corresponding to the IEEE 802.16 standard. And transmits and outputs a predetermined quality control interface screen and / or information providing screen to the DBA terminal through the interface channel, and receives and processes predetermined DBA quality management information corresponding to the quality management interface screen from the DBA terminal. It is desirable to perform the function.

Referring to FIG. 2, the DBA quality management module 215 inputs predetermined DBA quality management information at the DBA terminal in association with a storage medium storing at least one DBA quality management operation information and the interface function. An interface processing function for generating (or extracting) a predetermined quality control interface screen for selection) and transmitting the same, and inputting (or selecting) the DBA terminal through the quality management interface screen from the DBA terminal through the interface function. When the DBA quality management information is received, the DBA policy check function for checking the quality management policy information corresponding to the DBA quality management information from the storage medium provided in the CIO quality management module 200 is characterized in that it is made.

In addition, the DBA quality management module 215, a data extraction function for extracting at least one or more management data corresponding to the DBA quality management information from the quality management management target DBMS 225, and the quality management management target DBMS ( And a data structure checking function for confirming at least one physical data model information and / or database information corresponding to the DBA quality management information from 225.

In addition, the DBA quality management module 215, based on the DBA quality management operation information stored in the storage medium and the quality management policy information confirmed by the DBA policy check function, the data quality management framework shown in FIG. And a data quality management function for managing at least one or more management data extracted through the data extraction function according to the data management process of the award.

In addition, the data quality management function is a data management process on the data quality management framework shown in FIG. 1 based on the DBA quality management operation information stored in the storage medium and the quality management policy information confirmed by the DBA policy checking function. And physical data model information and / or database information identified by the data structure checking function.

According to the exemplary embodiment of the present invention, the DBA quality management operation information stored in the storage medium included in the DBA quality management module 215 corresponds to the DBA quality management information from the quality control management target DBMS 225. It is preferable to include at least one or more information for managing at least one or more management data extracted.

Here, the DBA quality management operation information is characterized in that it comprises use management data, failure and security management data, performance management data, flow management data and quality management data.

According to the exemplary embodiment of the present invention, the use management data of the DBA quality management operation information means data that must be managed to maximize the utilization value of the database and the satisfaction of the user 120.

Here, it is preferable that the management criteria for the use management data of the DBA quality management operation information include data utilization, user 120 satisfaction, and adequacy of a problem solving time.

Data utilization of the management criteria for the use management data of the DBA quality management operation information includes periodically identifying the data usage trend and analyzing and managing the result trend.

In addition, the satisfaction of the user 120 of the management criteria for the use management data of the DBA quality management operation information includes regularly grasping the satisfaction of the user 120 of the database and analyzing and managing the result trend.

In addition, the appropriateness of the time required to solve the problem of the management criteria for the use management data of the DBA quality management operation information, by checking the time required from the occurrence of the problem to check and the time required to solve the problem after solving the problem, Periods include analysis and management to gauge how systematic and specific the data is being managed.

The method of managing the use management data of the DBA quality management operation information is to aggregate the data change status by daily, weekly and monthly, to analyze the time when the sudden change occurs and to establish the causes and trends and anticipated problems and countermeasures. It manages to analyze problems of database use and improvement requirements on a regular basis, manages to define various paths to check problems related to the use of the database, classifies the causes of the problem by type It manages to record in detail the details of the work being processed and the results (problem definition, related databases, personnel and stakeholders, work progress, etc.).

According to the method of the present invention, the failure and security management data of the DBA quality management operation information, in order to prevent the event that prevents the normal state or effective use of the database in advance or to be able to quickly recover at the time of occurrence of the event Means data to be managed.

Here, it is preferable that the management criteria for the failure of the DBA quality management operation information and the security management data include periodic status records, recovery procedures, rules, and access control.

Periodic state recording of the management criteria for the failure of the DBA quality management operation information and security management data includes managing the backup cycle of the database, the backup method, the storage and recovery related records of the backup data.

In addition, the recovery procedures and rules of the management criteria for the failure of the DBA quality management operation information and the security management data, including defining and managing the data recovery procedures and rules applied in an emergency.

In addition, the access control of the management criteria for the failure of the DBA quality management operation information and the security management data, block access to the database from the inappropriate user 120 inside and outside the database and the authority of the user 120 and This includes managing the grade.

The DBA quality management operation information and the method of managing the security management data management, to evaluate the database to determine the importance, to manage to classify the data to be backed up daily, weekly, monthly according to the importance, The storage location of the backup data is to keep the network and server separated from other systems and to set up safeguards, to establish security regulations for the database, and to periodically educate and promote the database, and to access the user 120 for each database. Specify authority and manage to check and take measures for illegal access periodically.

According to the exemplary embodiment of the present invention, the performance management data of the DBA quality management operation information means data to be managed in order to improve the performance of the database.

Here, it is preferable that the management criteria for the performance management data of the DBA quality management operation information include a performance improvement procedure and a performance check cycle.

The performance improvement procedure of the management criteria for the performance management data of the DBA quality management operation information includes defining and managing procedures and rules for improving the performance of the database in order to systematically manage the performance of the database.

In addition, the performance check cycle of the management criteria for the performance management data of the DBA quality management operation information, including the performance measurement criteria and measurement cycle of the database to be defined to periodically check the performance of the database, Is done.

The method of managing performance management data of the DBA quality management operation information defines a performance measurement standard for the database, manages all the standards to be quantified, measures performance by day, week, and month, and analyzes the trend. To maintain the procedures and rules (eg, query optimization, database structure change, etc.) for improving the performance, and to define the timing and method of the reorganization work according to the database management. In addition, it is preferable to manage to define a rule for when to replace and expand the storage of the database.

According to the embodiment of the present invention, the flow management data of the DBA quality management operation information means data for managing mapping information between source data and target data used when moving predetermined information system data to another information system.

Here, it is preferable that the management criteria for the flow management data of the DBA quality management operation information include a mapping rule of source and target data, a source and target data refinement rule, and the like.

And a mapping rule of source and target data of management criteria for flow management data of the DBA quality management operation information, defining all sources and targets requiring data movement, and defining mapping rules between source targets.

In addition, the source and target data refining rule of the management criteria for the flow management data of the DBA quality management operation information, the cleansing rule for the data that complies with the defined source and target mapping rules and violate the definition is defined. It is made to include.

The method for managing flow management data of the DBA quality management operation information includes creating a mapping list between source data and target data for the database, and managing to check whether all source data required by the target system are included. It is managed to check whether the source and the target which do not need the data movement are mapped, and is managed to check whether the deleted source is used as the mapping source, and check whether the data structure of the source and the target is the same. If it is not the same, it is desirable to manage to apply the conversion rule, to check that the conversion rule conforms to the data integrity rules, and to check whether the result ensures data integrity.

According to the embodiment of the present invention, the quality management data of the DBA quality management operation information means data to be basically managed in order to secure the consistency of the data and to perform operations for maintaining and improving data quality. By managing the quality control data, it is possible to prevent inefficient use of the data and to prevent data quality deterioration due to inconsistency of data that may occur during operation of the data, thereby maintaining high quality data of the entire operating system.

Here, it is preferable that the management criteria for the quality management data of the DBA quality management operation information include quality standards, quality inspection cycles, quality verification procedures and rules, and quality improvement procedures.

The quality standard of the management standard for the quality management data of the DBA quality management operation information defines the quality standard of the data managed by the system. Quality standards include the management of ratings based on the importance of the data.

In addition, the quality check cycle of the management criteria for the quality management data of the DBA quality management operation information, to set the measurement cycle for the database performance and data quality, etc. to continuously and regularly perform the data quality management. The quality checking cycle may be performed by reflecting the request level of the user 120.

In addition, the quality verification procedure and rules of the management criteria for the quality management data of the DBA quality management operation information define data quality verification procedures and rules for applying the defined quality criteria. This includes ensuring that actions taken against exceptions that do not follow the defined procedures and rules are also considered.

In addition, the quality improvement procedure of the management criteria for the quality management data of the DBA quality management operation information, to reflect the measured quality evaluation results to improve the quality of the data and to define a procedure and method for maintaining high quality data It is made to include.

The method for managing quality management data of the DBA quality management operation information includes items requiring data quality management for the database (e.g., entity integrity, referential integrity, domain integrity, attribute, column business rule application, entity, table definition). User 120 definitions such as data creation, modification, deletion rules, triggers, etc. according to the DBMS 225 object's operation, and when data replication is allowed, the management to derive the consistency between the original data and the duplicate data, etc. It is often advisable to manage to define error correction rules for inappropriate data that fall outside of quality standards.

According to an embodiment of the present invention, the DBA quality management operation information stored in the storage medium included in the DBA quality management module 215 may include physical data model management information and / or database management information. desirable.

The physical data model management information includes a subject area, a table, a relationship, a column, and the like.

According to an embodiment of the present invention, the management criteria for the subject area of the physical data model management information may be one subject area defined in the logical data model is distributed to different schemas or servers in the physical data model. In some cases, a physical subject area may be managed according to a naming convention of a table in one schema of one server. Preferably, the subject area management criteria of the physical data model comply with the criteria of the conceptual data model and the logical data model, and the method of managing the subject area of the logical data model management object is the logical subject area and the instance of the DBMS 225. And managing the correspondence with the schema.

According to an embodiment of the present invention, the table of physical data model management information is divided into one or more physical tables according to one table or subtype or business characteristic according to the physical characteristics of the data and the characteristics of the DBMS 225. Can be.

Here, it is preferable that the management criteria for the table of the physical data model management information include persistence, identification, and the like.

The persistence of the management criteria for the tables of the physical data model management information includes data that is currently managed by the data in the tables and needs to be managed in the future.

In addition, the identification of the management criteria for the table of physical data model management information includes making the records in the table distinguishable by one or more column data.

In the method of managing the table of physical data model management information, it is preferable to manage design information such as the life cycle of the data stored in the table and the amount of data to be maintained and managed for a certain period of time.

According to an embodiment of the present invention, the relationship between the physical data model management information means a rule for generating, deleting, and changing data between a parent table and a child table.

Here, it is preferable that the management criteria for the relationship of the physical data model management information include a creation rule, a change rule, a delete rule, and the like.

The generation rule of the management criterion for the relationship of the physical data model management information includes that the data referred to the parent table must exist when generating the data of the child table.

In addition, the rule of changing the management criteria for the relationship between the physical data model management information is that if the key data of the parent table is changed, the reference data of the referenced child table is also changed or if the child data exists, the key data of the parent table is present. This includes preventing the change.

The deletion rule of the management criteria for the relationship between the physical data model management information is that when the parent table data is deleted, the data of the child table referencing the data is deleted together, or the data of the parent table is deleted when the child data exists. It may not be possible.

In the method of managing the relationship of the physical data model management information, since the relationship is a business rule, it is managed to first determine whether to manage at the DBMS level or the application level, and automatic change by the trigger is performed by the DBMS. (225) Since errors are difficult to track, it is advisable to manage them to minimize them as much as possible.

According to the exemplary embodiment of the present invention, the column of the physical data model management information means that the data reflecting the business rule is stored in the standardized domain.

In the method of managing columns of the physical data model management information, predetermined column data is managed to have the same data type and data representation, and the physical attributes of columns having similar data types and representations are defined and managed as domains. It is desirable to.

The database management information includes storage space, tables, constraints, indexes, triggers, DB links, procedures, views, synonyms, and roles.

According to an embodiment of the present invention, the storage space of the database management information means a region (tablespace, data file) defining a table and an index requiring a space for storing data in the database, All data is divided into tables and indexes, and data management begins with the management of storage space.

Here, it is preferable that the management criteria for the storage space of the database management information include safety, security, scalability, and performance guarantee.

Safety of the management criteria for the storage space of the database management information includes that the disk area of the system for the storage space must be secured separately from other program execution areas of the system, and for this purpose, a normal work system The DBMS 225 operates a dedicated server, and / or the storage space is a real space in which the data is physically stored so that the existence of the storage space is protected from external threats or disasters.

In addition, the security of the management criteria for the storage space of the database management information, so that the storage space is the actual space where the data is physically stored to allow complete access control to unauthorized programs or users 120.

In addition, the scalability of the management criteria for the storage space of the database management information includes the expansion of the storage space and the allocation of the physical disk area is sufficient because the data is continuously increased in the storage space.

In addition, the performance guarantee of the management criteria for the storage space of the database management information, because the large amount of data is called and stored from time to time during the operation of the DBMS (225) physical disk allocated storage space as a product that can maintain fast performance Appropriate structural arrangements are made.

In the method for managing the storage space of the database management information, the DBA checks the storage space of the system from time to time in consideration of performance and security in accordance with management standards, and manages the final security and safety of the data for the first purpose, and also the developer In addition, it is desirable to control the data to be expanded indiscriminately according to the convenience of the user 120 and to manage the backup to the appropriate level of storage space.

According to an embodiment of the present invention, in the database management information table, entities and attributes are defined as tables in the database, and various methods such as clusters and partitions may be applied according to characteristics of the data, and the data may be increased. Depending on the trend, physical properties may change.

Here, it is preferable that the management criteria for the table of the database management information include periodicity, diversity, security, logic, and the like.

The periodicity of the management criteria for the table of the database management information includes the data in the table being backed up at regular intervals or regenerated for performance.

In addition, the variety of management criteria for the table of the database management information, the data in the table according to the appropriate distribution strategy and table storage space definition method for performance, Partition (Partition), Cluster (Cluster), Index Organized Table (IOT) , Etc., to be defined in several forms.

In addition, the security of the management criteria for the table of the database management information, so that the table access, create, change, delete rules are defined in a table unit, column unit to the user 120 of a limited range according to the authority and use It is made to include.

In addition, the logicality of the management criteria for the table of the database management information includes that the addition of the table and the addition of the column must be performed by referring to a logical data model, which is not based on the logical data model. The addition of tables and columns on the DBMS 225 yields indiscriminate redundant data, which in turn degrades the quality of the data.

The method of managing the table of the database management information is appropriate so that the DBA manages the data of the table in consideration of performance and security according to the management criteria, and does not indiscriminately create the table in consideration of the convenience of the developer or the user 120. It is desirable to manage to limit it.

According to an embodiment of the present invention, constraints of the database management information may include business such as Not Null, Default, Foreign Key Constraint, and Check condition in the database. It is recommended that the rule be defined in the column, but the constraint on applying the relationship between tables means that the rule is applied in parallel with the application.

Herein, the management criteria for the constraints of the database management information may include a not null condition, a default, a foreign key condition, a check condition, and the like in the database. desirable.

The not null condition of the management criterion for the constraint of the database management information includes defining a column in which data must exist in the table.

The default condition of the management criterion for the constraint of the database management information may include defining basic data when it is impossible to define a final value in a column in which the data must exist.

The foreign key condition of the management criteria for the constraint of the database management information includes defining and managing a rule for inputting, deleting, and generating a relationship defined in the physical data model.

In addition, the check condition of the management criterion for the constraint of the database management information includes defining such that only data within a predefined type or range exists in a specific column.

In the method of managing the constraints of the database management information, the reflection of the constraints on the column is managed to be consistent with the attribute definition of the logical data model, and the rule on the relationship is managed to be maintained by the application. desirable.

According to the method of the present invention, the index of the database management information is not reflected in the logical data model in the database, but is one of the data stores for speeding up data access, and manages the index of the database management information. Standards can be defined in various ways according to business requirements. However, the higher the redundancy of the columns, the more wasteful of storage space and the negative effect on speed during data entry, deletion, and update. Various kinds may exist according to the kind of 225).

The index management method of the database management information is generally maintained in the form of B + Tree. In this case, since the index has little reuse of storage space, it is preferable to regenerate the index periodically.

According to an embodiment of the present invention, the trigger of the database management information, in connection with a table in the database to perform a predefined function, the management criteria for the trigger of the database management information, BEFORE upon creation of the trigger The key can be used to specify that the Tuple (row, record) can be started before an event occurs. On the contrary, the AFTER key can be used to activate it after the event is completed.

In the method of managing the trigger of the database management information, another trigger may be sequentially activated when the trigger is executed. Therefore, the creation and use of triggers must be carefully defined and unwanted results can be obtained by the use of invalid triggers, and one or more triggers can be defined that specify the same event in the same table, but this does not change the triggering sequence of the triggers. Unpredictable and may be omitted by those skilled in the art.

According to an embodiment of the present invention, the DB link of the database management information is to connect a database remote from the database to process data in another server in one server in one SQL statement, The management criteria for DB link of database management information is defined in a distributed server environment when you want to easily call data of tables located in one server to another server or another database instance.

In the method of managing the DB link of the database management information, since the DB link is properly created but the connection often occurs at the time of querying, it is necessary to verify the operation in actual use, and also the abuse of the DB link. Can slow down the execution of SQL, so it is desirable to properly manage it in consideration of the performance of the information system.

According to the embodiment of the present invention, the procedure of the database management information, the function (Function) and the procedure (Procedure) in the database is defined and used by the user 120, the function and the procedure is written in the program SQL statement The function and procedure can be called by using SQL statement.

The management criterion for the procedure of the database management information is that the data of the table is inputted, modified, or deleted by SQL statements, but when performing complex tasks or when the same type of SQL is repeated, This includes the definition of a procedure.

The method of managing the procedure of the database management information is that the function and the procedure are managed to increase the reuse rate of the function and the procedure defined in another schema by declaring synonyms when the commonity is more emphasized, and the SQL used incorrectly in the function or the procedure. Because the statement can greatly slow down the overall execution speed, it is desirable to manage the statement through performance verification.

According to an embodiment of the present invention, the view of the database management information is an object created to view data in the database, and does not require a physical storage space. As a virtual data area to be shown, there may be a view having actual physical storage space depending on the type of commercial RDBMS 225.

The management criteria for the view of the database management information include creating access for important data, reducing database complexity, hiding complex database designs, and simplifying tasks including distributed queries on heterogeneous data.

In the method of managing the view of the database management information, the complex view may not grasp the intention of the user 120 properly, it may be difficult to grasp the work of the SQL performed as a whole, and may affect the speed. It is advisable to manage the use of too complex views.

According to an embodiment of the present invention, the synonym of the database management information means an alias for a table in the database, a general synonym can be created by all users, and ownership can be used only by the creator. As a synonym for PUBLIC, only DBAs can create and delete.

The management criterion for synonyms of the database management information includes defining synonyms for table data defined in another schema when the subject area is defined as a schema, but which must be frequently referred to frequently in business.

In the method of managing the synonym of the database management information, the synonym may be generated when one object is to be used in common in multiple schemas, and access to the object may be performed even if the object created in the other schema has read permission. When it is cumbersome, it is better to use synonyms to simplify management.

According to an embodiment of the present invention, the role of the database management information means a rule for creating, deleting, reading and changing the database object, and the authority for granting and controlling the role is defined by the DBA. Have

The management criterion for the role of the database management information is that the ease of use is important when managing the database objects, but the security and management of the data in the table are also important, and the user 120 who uses the database by creating an authority group is important. Properly suggesting permissions involves protecting roles in database objects and defining roles to protect data within objects.

The method of managing the role of the database management information is provided in the commercial RDBMS (225) and provides a few basic roles by combining high-priority rights, the role is basically provided by the commercial RDBMS (225) It is desirable to manage the system to define and use it according to the security rules in the system.

The interface processing function may correspond to a function configuration (eg, a browser program provided in the DBA terminal) provided in the DBA terminal when a predetermined DBA terminal approaches the DBA quality management module 215 through the interface function. Generate a predetermined quality management interface screen capable of inputting (or selecting) the DBA quality management information of the DBA to the DBA quality management module 215 via the network means, and / or from a predetermined DB (not shown). Extracting and providing the generated quality management interface screen to the DBA terminal through the network means in association with the interface function.

Thereafter, the DBA terminal inputs (or selects) predetermined DBA quality management information based on the quality management interface screen, and inputs the input (or selected) DBA quality management information through the network means. Send to 215.

The DBA policy checking function is provided through the interface means by inputting (or selecting) predetermined DBA quality management information through the quality management interface screen in the DBA terminal, and interworking with the interface function, the CIO quality management module ( And extracting and confirming predetermined quality control policy information corresponding to the DBA quality management information from a storage medium provided at 200, wherein the predetermined quality control policy information corresponding to the DBA quality management information is the data quality. It is provided as a management function.

The data extraction function extracts at least one management data corresponding to the DBA quality management information from the quality management management target DBMS 225, wherein the management data is the database DBA quality management module 215. It refers to standard related data that is defined and used in common format and contents for terms, domains, codes and other data related elements used in the and is an essential element to secure data quality of the information system. This is to prevent data inconsistency and data errors and to improve understanding of the data. Also, it is possible to implement data integration efficiently by implementing a single and standardized information system at the institutional or enterprise level. It is done.

The data structure checking function may verify at least one physical data model information and / or database information corresponding to the DBA quality management information from the quality management management target DBMS 225, wherein the physical data model includes: The model refers to a model in which a physical data model is embodied in consideration of the characteristics and performance of the DBMS 225 of the information system to which the data quality management framework is applied. The database refers to a model of the information system to which the data quality management framework is applied. It is the result of implementing the physical data model, and it means the data storage where the actual data constructed is stored.

The data quality management function is based on the data management process on the data quality management framework shown in FIG. 1 based on the DBA quality management operation information stored in the storage medium and the quality management policy information confirmed by the DBA policy checking function. Manage at least one or more management data extracted through the data extraction function, and / or based on DBA quality management operation information stored in the storage medium and quality management policy information confirmed by the DBA policy checking function Managing physical data model information and / or database information identified by the data structure checking function according to a data management process on the data quality management framework shown in FIG. It will be described in detail through.

The user terminal 120 used by the user 120 among the quality management subjects on the data quality management framework may access the user quality management module 220 through a predetermined interface means. An interface 220 connects and manages an interface channel for data quality management for the DBMS 225 based on the data quality management framework shown in FIG. 1 and the user 120 terminal through the interface means. It is characterized by comprising a function.

According to an embodiment of the present invention, when the user 120 terminal is a wired terminal, the interface function connects a predetermined interface channel with the user 120 terminal based on a Hyper-Text Transfer Protocol (HTTP) protocol. And transmits and outputs a quality management interface screen and / or an information providing screen in the form of a Hyper-Text Markup Language (HTML) compatible document to the user 120 terminal through the interface channel, and outputs the quality from the user 120 terminal. It is preferable to perform a function of receiving and processing predetermined user 120 quality management information input (or selected) through the management interface screen.

According to another exemplary embodiment of the present invention, when the user 120 terminal is a CDMA-based wireless terminal, the interface function is a wireless application protocol (WAP) and / or a mobile explorer (ME) protocol with the user 120 terminal. Connect a predetermined interface channel based on the above, and transmit a quality management interface screen and / or information providing screen in the form of a WML (Wireless Markup Language) and / or HTML compatible document to the user 120 terminal through the interface channel It is preferable to perform a function of outputting and receiving and processing predetermined user 120 quality management information corresponding to the quality management interface screen from the user 120 terminal.

According to another exemplary embodiment of the present invention, when the user terminal 120 is an IEEE 802.16x based wireless terminal, the interface function is based on a wireless protocol corresponding to the user 120 terminal and the IEEE 802.16 standard. Connect a predetermined interface channel, transmit and output a predetermined quality management interface screen and / or information providing screen to the user 120 terminal through the interface channel, and output the quality management interface screen from the user 120 terminal. It is preferable to perform a function of receiving and processing the predetermined user 120 quality management information corresponding to.

Referring to FIG. 2, the user quality management module 220 stores a storage medium storing at least one quality management operation information of at least one user 120 and a predetermined user at the user 120 terminal in association with the interface function. 120) an interface processing function for generating (or extracting) a predetermined quality management interface screen for inputting (or selecting) and transmitting quality management information; and the quality management from the user 120 terminal through the interface function. When the user 120 quality management information input (or selected) transmitted through the interface screen is received, quality control corresponding to the user 120 quality management information from a storage medium provided in the CIO quality management module 200 is received. The user 120 for confirming the policy information is characterized in that the policy is provided with a function.

In addition, the user quality management module 220, a data extraction function for extracting at least one or more business data corresponding to the user 120 quality management information from the quality management management target DBMS 225, and the quality management management And a data structure checking function for checking at least one user 120 view information corresponding to the user 120 quality management information from a target DBMS 225.

In addition, the user quality management module 220 is shown in FIG. 1 based on the quality management operation information of the user 120 stored in the storage medium and the quality control policy information confirmed by the user 120 policy check function. And a data quality management function for managing at least one or more business data extracted through the data extraction function according to the data management process on the data quality management framework.

In addition, the data quality management function is based on the quality management operation information of the user 120 stored in the storage medium and the quality management policy information confirmed by the user policy check function 120 shown in FIG. The user 120 view information identified by the data structure checking function is managed according to a data management process on a framework.

According to the exemplary embodiment of the present invention, the user 120 quality management operation information stored in the storage medium provided in the user quality management module 220 refers to data necessary for performing the work and business of an institution or a company. In general, it can be classified into source, operation, and analysis data according to the data flow.

In this case, the user 120 quality management operation information is characterized in that it comprises a source (source), operational (operational) data, analysis (analysis) data and the like.

According to the method of the present invention, the source data of the user 120 quality management operation information is real world data that is a source of the operation data, and the source data includes a general document, a data source file stored in a PC, E-mail and fax.

Here, it is preferable that the management criteria for the source data of the user 120 quality management operation information include security of source data, safety of source data, and reliability of source data.

The security of the source data of the management criteria for the source data of the user 120 quality management operation information, the source data is not managed systematically by a system, a program, a database object and exposed to an unauthorized user 120. Since there is a lot of risks to be made, it is necessary to include special attention on security in the case of important source data.

In addition, the safety of the source data of the management criteria for the source data of the user 120 quality management operation information, the source data has a high data loss rate in the event of a disaster, and it is very difficult to recover the lost source data in the case of important source data This includes maintaining a high level of safety management.

In addition, the reliability of the source data of the management criteria for the source data of the user 120 quality management operation information includes the basis for defining the basis for this to determine the accuracy and reliability of the source data.

In the method for managing the source data of the user 120 quality management operation information, the source data is managed by the individual or group owner of the source business data rather than by the integrated system, the search of the source data is generally a system It may take more time than searching the data stored in the system, so that the management system should be clearly defined, and the source data necessary for building the database should be classified to define the access authority and creation, change, and destruction rules for each source data. It is desirable to manage.

According to an embodiment of the present invention, the operation data of the user 120 quality management operation information refers to data that is stored and managed in a database for use in achieving a goal of a company or an institution and performing a task, and here, a simple input / output operation Temporary data temporarily needed for processing is excluded.

Here, it is preferable that the management criteria for the operation data of the user 120 quality management operation information include accuracy, consistency, up-to-dateness, completeness, ease of use, and ease of search.

The accuracy of the management criteria for the operation data of the user 120 quality management operation information includes storing and managing the same data as the source data existing in the real world.

In addition, the consistency of the management criteria for the operation data of the user 120 quality management operation information includes the data to match the term definition, regulation, standard, attribute definition, data format and the like.

In addition, the latest of the management criteria for the operation data of the user 120 quality management operation information is made, including that the provided data is updated with the most recent content, in order to maintain the freshness of the data You can have a freshness rating (very important, important, or moderate) in the.

In addition, the completeness of the management criteria for the operation data of the user 120 quality management operation information includes that the data stored in the information system is provided in a complete form without missing items.

In addition, the ease of use of the management criteria for the operation data of the user 120 quality management operation information, the interface, help, customer support functions, etc. provided by the information system is inconvenient for the user 120 to use the database It is made so that it is provided so as not to.

In addition, the ease of search of the management criteria for the operational data of the user 120 quality management operation information, the search results and output method according to the search function and the search conditions are accurate so that the desired data can be extracted and utilized in the information system And as appropriate.

The method for managing operational data of the user 120 quality management operation information periodically checks and manages data according to defined management standards and management methods to ensure the accuracy, consistency, freshness and completeness of the data. In addition, it is preferable to manage the ease of use and ease of retrieval to follow the management criteria and management method of the performance management data.

According to the exemplary embodiment of the present invention, the analysis data of the user 120 quality management operation information refers to data generated through a process of extracting, transforming, and loading operational data. To ensure that the analytical data can quickly support the work or activities of the organization or organization, it must be up-to-date and accurate.

Herein, the management criteria for the analysis data of the user 120 quality management operation information may include an analysis cycle, a deadline, a summary level, subject orientation, integration, time series, and non-volatility.

The analysis cycle of the management criteria for the analysis data of the user 120 quality management operation information includes determining an analysis and conversion cycle of the operation data which is a source of the analysis data.

In addition, the deadline of the management criteria for the analysis data of the user 120 quality management operation information includes defining a specific time point of the operation data used to convert the operation data into analysis data.

In addition, the summary level of the management criteria for the analysis data of the user 120 quality management operation information defines the summary level required for the analysis data. The level of summarization involves taking into account the scope and depth of operational data.

The subject orientation of the management criteria for the analysis data of the user 120 quality management operation information may include classifying the distributed and managed operational data into a unitary subject area.

In addition, the integration of the management criteria for the analysis data of the user 120 quality management operation information, so that the analysis data can be classified according to the same and consistent standards ('male / female', '1/0') It is made to include.

In addition, the time series of management criteria for the analysis data of the user 120 quality management operation information may include defining data accumulated for a predetermined time for various time points.

In addition, the non-volatility of the management criteria for the analysis data of the user 120 quality management operation information includes that the deletion or update of the data does not occur frequently.

The method of managing the analysis data of the user 120 quality management operation information, manages to define a rule for extracting, converting, and loading the operation data into the analysis data, the analysis period, deadline, summary level and the like analysis It is desirable to manage to define the size, characteristics, purpose of use of the target data.

According to the exemplary embodiment of the present invention, the user 120 quality management operation information stored in the storage medium provided in the user quality management module 220 may include user 120 view management information. .

The user 120 view management information may include a screen, an output, and the like.

According to the exemplary embodiment of the present invention, the screen of the user 120 view management information is an interface for providing a final output generated by the information system, and includes an end user screen and a screen for a system administrator. .

Here, the management criteria for the storage space of the user 120 view management information may include convenience, searchability, system performance, and supportability.

Convenience of the management criteria for the storage space of the user 120 view management information includes all the work procedures processed through the user 120 screen to be intuitive and convenient.

In addition, the searchability of the management criteria for the storage space of the user 120 view management information includes allowing the user 120 to quickly and accurately search for desired information through the screen.

In addition, the system performance of the management criteria for the storage space of the user 120 view management information includes ensuring that all operations processed through the screen maintain an appropriate speed and performance (eg, response within 3 seconds). It is done by

In addition, the supportability of the management criteria for the storage space of the user 120 view management information may include allowing the user 120 to use appropriate help as needed during the job processing.

In the method of managing the screen of the user 120 view management information, it is preferable that the user 120 requirements and the help for the screen are managed together with the information on the use and the constraint of the screen.

According to an embodiment of the present invention, the output of the user 120 view management information refers to the output generated through the information system, and this includes an application that generates the output as well as the output such as a report, a journal, a slip, etc. Included up to. In general, the output is provided to the end user 120 or used for analysis in the information system.

Here, the management criteria for the storage space of the user 120 view management information is an important data storage tool that can store the value of data in preparation for the damage of digital data or the paper output because the recovery rate in case of accident is very low Since the management of the output of the form may require a lot of cost and manpower, it is preferable that the management of the output is in parallel to manage the output in the form of images rather than the management of the paper state.

In the method for managing the output of the user 120 view management information, since most of the output is provided through the user 120 screen, managing the screen replaces quality management of the output. However, when there is no user 120 screen, it is preferable to manage the work related to the output generation and the output (for example, the scanned output) through the system management tool.

The interface processing function may include a function configuration (for example, the user 120 terminal) provided in the user 120 terminal when a user 120 terminal accesses the user quality management module 220 through the interface function. A predetermined quality management interface screen for inputting (or selecting) predetermined user 120 quality management information corresponding to the provided browser program) to be transmitted to the user quality management module 220 through the network means, or And / or extract from a predetermined DB (not shown), and provide the generated (or extracted) quality management interface screen to the user 120 terminal through the network means in conjunction with the interface function. do.

Subsequently, the user 120 terminal inputs (or selects) predetermined user 120 quality management information based on the quality management interface screen, and inputs the input (or selected) quality management information of the user 120. Transmission to the user quality management module 220 via a network means.

The user 120 policy check function is provided through the interface means by inputting (or selecting) predetermined user 120 quality management information through the quality management interface screen in the user 120 terminal. And extracting and confirming predetermined quality control policy information corresponding to the quality management information of the user 120 from a storage medium provided in the CIO quality management module 200, and the quality of the user 120. Predetermined quality management policy information corresponding to management information is provided to the data quality management function.

The data extracting function may extract at least one or more work data corresponding to the quality management information of the user 120 from the quality control management target DBMS 225. It refers to the data needed to conduct business. Generally, it can be divided into source, operation, and analysis data according to the data flow.

The data structure checking function may check at least one user 120 view information corresponding to the user 120 quality management information from the quality management management target DBMS 225, and the user 120 view. Means a model in which a conceptual data model of an information system to which the data quality management framework is applied is defined in detail and defines logical data sets, management items, and relationships.

The data quality management function is a data quality management framework shown in FIG. 1 based on the quality management operation information of the user 120 stored in the storage medium and the quality management policy information confirmed by the user 120 policy checking function. Manage at least one or more business data extracted through the data extraction function according to a data management process on the computer, and / or by the user 120 quality management operation information and the user 120 policy check function stored in the storage medium. Based on the identified quality management policy information, the user 120 view information identified by the data structure checking function is managed according to a data management process on the data quality management framework shown in FIG. Detailed description will be described in detail with the flowchart shown below.

Figure 3 illustrates the concept of data quality criteria for evaluating maturity for data quality management in accordance with an embodiment of the present invention.

In more detail, FIG. 3 shows data managed throughout the enterprise based on the data quality management framework shown in FIG. 1, wherein the data is managed based on the data quality management framework shown in FIG. It illustrates the criteria for assessing maturity.

Hereinafter, in the embodiment of the present invention, a criterion for evaluating the maturity of data being managed based on the data quality management framework shown in FIG. 1 is referred to as "data quality criterion" for convenience.

Referring to FIG. 3, the data quality criteria are classified into validity and usability of data that is managed throughout the enterprise through the quality management framework shown in FIG. 1, and the validity is accurate and consistent. It is made, including the usability is characterized in that it comprises the usability, accessibility, timeliness and security.

That is, the data quality standard according to the present invention includes six data quality standards including accuracy and consistency in terms of data validity, and usability, accessibility, timeliness, and security in terms of data usability.

Referring to FIG. 3, quality criteria related to the validity of the data quality criteria are characterized by including accuracy and consistency.

According to the present invention, among the data quality standards, the accuracy is a data quality standard for managing whether the values of objects (events, objects, concepts, etc.) existing in the real world are stored without error. Referring to FIG. And detailed quality criteria such as factuality, suitability, necessity, and relevance.

Herein, among the detailed quality standards of accuracy, the reality means a data quality standard that manages the data to have the same value as the real world.

The factual error is caused by data source error, input error, input process problem, and the like, and the data ownership management and input process improvement are required to improve the fact.

In addition, of the detailed quality standards of accuracy, the suitability means a data quality standard that manages the data value to meet a predetermined data valid range.

The consistency error occurs when the data violates the standard code value or the standard domain value, and the standard domain management and the standard code management improvement are required to improve the suitability.

In addition, among the detailed quality standards of accuracy, the necessity means a data quality criterion that manages to prevent the data from missing in essential items necessary for supporting the work of the organization.

The essential error is caused by a lack of confirmation at the time of data collection or a missing "Not Null" check condition in the database, and it is necessary to select and manage importance for each data.

In addition, of the detailed quality criteria of the accuracy, the correlation refers to a data quality criterion for managing so that there is no logical error between at least two data items having an association relationship.

The association error is such that the termination date is earlier than the subscription date, and in order to secure the association, it is necessary to grasp the data association relationship in the business rule and reflect it in the system.

According to the present invention, among the data quality criteria, the consistency is a data quality criterion for managing whether inconsistency between the same data in the information system does not occur, wherein the consistency error is not correctly defined for the data or data reference integrity ( Referential Integrity is unclear, which is caused by lack of access from the enterprise perspective by design management by individual system unit.

For example, the definition of the 'customer' column used by the purchasing department and the sales department in the organization may vary depending on departmental characteristics. The 'customer' of the purchasing department is mainly a company and an institution. This could be an individual or a company. As a result, the attributes of the 'customers' table required by departments may vary, and they are managed as the same 'customers' but clearly different 'customers'.

Therefore, in order to secure consistency, it is necessary to maintain the uniformity of data through standardization of data terminology from an enterprise perspective, enterprise-wide coordination of data structures, and management of duplicate data.

Referring to FIG. 3, the consistency is characterized by including detailed quality criteria such as consistency, consistency, integrity, and the like.

Here, among the detailed quality standards of consistency, the consistency means a data quality standard for managing that data having the same function, meaning, and personality are defined in the same terms and forms.

In addition, of the detailed quality standards of consistency, the consistency means a data quality standard that manages not to use the same terms differently.

For example, if the gender division, which is a gender distinction term, is used differently as a gender division, gender classification, gender code, and gender code for each unit system, the system resources are wasted when data is integrated from the enterprise perspective and data is wasted. It also affects the accuracy.

In addition, of the detailed quality criteria of the consistency, the integrity means a data quality standard that manages that the prognostic relationship of data processing is clearly observed.

For example, there may be a case where subsequent data must exist before subsequent processing is possible. A customer's order history can be created only when the customer is registered first, and when the customer is deleted, the order history must also be deleted. The integrity can be ensured by reflecting referential integrity into the data structure design and implementing it through a database or program.

Referring to FIG. 3, quality criteria related to the validity of the data quality criteria include usability, accessibility, timeliness, and security.

According to the present invention, among the data quality standards, the usefulness is a data quality standard for managing that the scope and detail of data required by an organization can be satisfied on the data quality management framework shown in FIG. In order to secure usability, it is necessary to manage the requirements of the user 120. The requirements management refers to various activities that embody and manage the abstract needs of users 120. The requirements are determined and reflected in the requirements implementation scope and priority according to the defined criteria and principles, and a series of documents are documented. Should be managed.

Referring to FIG. 3, the usefulness is characterized by including detailed quality criteria such as sufficientness, flexibility, usability and traceability.

Here, of the detailed quality criteria of the usefulness, the sufficiency means that the data provided through the database managed through the data quality management framework shown in FIG. 1 can sufficiently satisfy the requirements of the user 120. do.

In order to secure the sufficiency, it is necessary to prepare not only the current requirements of the user 120 but also the requirements that may occur in the future with reference to trends in the industry.

In addition, among the detailed quality criteria of the usability, the flexibility means that the data managed through the data quality management framework shown in FIG. 1 has a flexible structure that can accommodate various requirements of the user 120. do.

Here, the data structure should be able to accommodate various requirements and tasks, and be able to flexibly respond to changes.

In addition, of the detailed quality criteria of the usability, the usability means that the data actually supplied through the database managed through the data quality management framework shown in FIG. 1 should be usefully used in the field.

In order to improve the usability, activities such as first allocating system resources to data with high usage frequency by analyzing data usage status and frequency of use are required.

In addition, of the detailed quality criteria of the usability, the traceability means that the change history of data managed through the data quality management framework shown in FIG. 1 is managed.

By performing history management on the data, it is possible to flexibly cope with the change of requirements of the user 120.

According to the present invention, the accessibility of the data quality criteria, in order to meet the user 120 satisfaction with the data on the data quality management framework shown in FIG. As a data quality standard that manages to secure overall service quality such as an interface required to provide, the accessibility means that the user 120 can easily use desired data.

According to an embodiment of the present invention, the accessibility may be divided into the ease of use and the ease of search for a database managed through the data quality management framework shown in FIG. In the system, the interface, help, customer support, etc., means that the user 120 is provided so that there is no inconvenience in using the data. It means managing whether it is supported to extract and use the data easily and conveniently.

According to the present invention, how well the timeliness of the data quality criteria cope with non-functional requirements such as response time and quality requirements such as maintaining the freshness of data on the data quality management framework shown in FIG. As a data quality standard to manage, the timeliness becomes more important, especially when the data of the operating system is converted into analytical data and utilized for decision making in the organization. If an organization's important decisions are made with data that the timeliness or up-to-date data is not secured, it will be fatal to the organization.

In order to improve the timeliness, the performance improvement through database tuning managed through the data quality management framework shown in FIG. 1 should be continuously performed, and the life cycle management of information for securing the efficiency of resources and maintaining the optimal data structure is required. do.

According to the present invention, among the data quality standards, the security is a data quality standard for managing whether data is properly protected from external and internal factors on the data quality management framework shown in FIG. Data protection from risks such as disasters or disasters, prevention of system errors or failures in advance, minimization of interruption and delay of data use in the event of errors or failures, and clear definition of user 120 authority.

Referring to Figure 3, the security is characterized by including the detailed quality standards such as protection, accountability and stability.

Here, among the detailed quality criteria of the usefulness, the protection means that data is securely protected from various types of threats such as corruption, alteration, and leakage of the database managed through the data quality management framework shown in FIG. do.

In addition, of the detailed quality criteria of the usefulness, the accountability means that the user 120 access authority and responsibility for the database managed through the data quality management framework shown in FIG.

The important thing in the data protection and access control of the user 120 is to accurately define the protection target and to configure a management system therefor.

Here, the security activities can be divided into administrative security activities and technical and physical security activities. The administrative security activities are selected as the main management targets of people, documents, disaster recovery plans, etc., and the organizational security regulations and guidelines are established. The technical and physical security activities include access control management on physical database storage, security activities from hacking damage from outside, and damage from virus.

In addition, among the detailed quality criteria of the usefulness, the safety is to prevent the error or failure of the database system managed through the data quality management framework shown in Figure 1 in advance and to minimize the interruption and delay in the event of error or failure It means operating as a system that can be used.

Since the data loss accident can occur anytime and anywhere due to various factors, a procedure for efficiently recovering data in the event of an error is required.

4 illustrates a data quality management process for evaluating maturity for data quality management in accordance with an embodiment of the present invention.

In more detail, FIG. 4 is a method for evaluating the maturity level for data quality management based on the data quality criteria shown in FIG. 3 for data managed throughout the enterprise based on the data quality management framework shown in FIG. A diagram illustrating a data quality management process.

Referring to FIG. 4, the data quality management process includes eight data qualities such as requirement management, data structure management, data flow management, database management, data utilization management, data standard management, data ownership management, and user 120 view management. And a management process, wherein each data quality management process is matched with at least one data quality criterion.

In the data quality management process of FIG. 4, the requirement management is a process of deriving and managing the requirements of the user 120 for data, and correlates with the usefulness data quality standards among the data quality standards shown in FIG. 3. Has

In order to provide useful data to the user 120 using a database managed through the data quality management framework illustrated in FIG. 1, the user 120 needs to clearly understand what the user 120 wants. The user 120 ) Requirements are often abstract or conceptually expressed, and therefore, through continuous exchange of opinions with the user (120), the requirements should be formulated and a way to effectively support them.

According to the embodiment of the present invention, there are functional requirements management and non-functional requirements management in the detailed processes related to data quality in the requirements management.

The functional requirement management means that data requirements that are functionally required in the course of business processes are derived and adjusted, and the requirements for the data must be converged in various management layers such as practitioners, intermediate managers, and managers.

The non-functional requirements management means that the requirements are derived and adjusted in addition to the business content requirements such as processing time, response time, data provision cycle, etc., and in order to adequately respond to the non-functional requirements, support of abundant computational resources is required. need. In general, however, there is a limit to the resources that can be put in place, so efficient management should be carried out considering the non-functional requirements and the cost-effectiveness of the inputs.

In the data quality management process of FIG. 4, the data structure management refers to a process of designing and managing a data model and a database so that the user 120 can provide desired data.

For example, the data structure may be likened to a book classification in a library. If a book's taxonomy is wrong, no matter how many good books you have, you won't be able to store or use them.

If the data managed through the data quality management framework shown in FIG. 1 is also not properly designed and managed, many limitations occur in the provision of the data.

According to an embodiment of the present invention, detailed processes related to data quality in the data structure management include flexibility management, duplication management, and referential integrity management.

The flexibility management means that the data structure is derived and managed from a comprehensive and long-term perspective in consideration of predictable future changes.

In general, as the work environment of the organization changes, the requirements for the data of the user 120 also change from time to time. Whenever the requirements change, a lot of confusion will occur if the data structure needs to be changed to respond to this. Therefore, the data structure must have a structure that can accommodate additional data requirements with minimum change, and this requires a data structure design considering flexibility.

The redundant management means that the same data is managed to exist only in one place.

However, the same data is often present in several places for business and system reasons. If the data is duplicated, additional management is required, and inconsistencies between the duplicated data may occur, resulting in business confusion. .

Therefore, in the redundant management, it is important to minimize data redundancy first, and if data redundancy inevitably occurs, it is necessary to secure consistency between duplicate data.

In other words, redundancy management includes both proactive protection against duplication and post management in case of duplication.

The referential integrity management refers to managing the relationship between jobs in the process of creating, changing, or deleting data.

For example, in the case of registration and sale of goods, sales data of goods can be input only if goods data is registered in advance. In other words, referential integrity management, which identifies prognostic relationships between data and controls them in compliance with data processing, is an important activity to ensure data quality.

The integrated management means designing and managing a data structure from an enterprise-wide perspective.

Integrated management of the data structure is aimed at maximizing data utilization at the organizational level, not at individual system perspectives.

In this case, the integrated management should be considered before designing the data structure, and if it is managed individually for each system, it should be prepared to integrate and manage it and provide it from an overall perspective.

In the data quality management process of FIG. 4, the data flow management refers to a process of managing various processes of generating, extracting, converting, and loading source data into a target.

The more systems that exist in an organization, the more complicated and complicated the data flow between the systems. Especially when data is distributed or duplicated, the possibility of data error increases. Therefore, it is necessary to manage data flow thoroughly to ensure quality. Data flow management requires identifying the data flow requirements to control the data flow and verifying the accuracy of the data flow processing results.

According to an embodiment of the present invention, detailed processes related to data quality in the data flow management include flow cycle management and flow metabolism management.

The flow cycle management refers to managing the flow of the data flow by grasping the cycle of the data flow so that the required flow can be normally performed at a necessary time.

The data flow should reflect various business requirements such as immediate, delayed, daily, weekly, monthly, and occasional, and should be managed in consideration of the relationship between each flow.

The flow metabolic management means to check and manage whether the data flow is correctly performed according to a predetermined requirement.

If the details of the data flow are not managed, it is difficult to detect or track errors occurring in the data flow. Therefore, the flow metabolism management should identify the correspondence between the source data and the target data to confirm the accuracy of the data flow between each other and to trace and resolve the cause when an error occurs.

In the data quality management process of FIG. 4, the data flow management refers to a process of operating and managing a database in which data values are actually stored.

The database managed by the data quality management framework shown in FIG. 1 is a place where continuous changes to data values occur, and it is flexible and changes a lot, and thus, sufficient countermeasures for various situations should be prepared.

According to the implementation method of the present invention, detailed processes related to data quality in the database management are performance management and security management.

The performance management refers to a management activity performed by the user 120 to quickly provide desired data at a desired time.

That is, the performance management includes continuous monitoring of the processing status of the database, tuning activities for optimizing performance, and predicting computational resources necessary for maintaining proper performance, and planning, distribution, and management activities for resource procurement.

The security management refers to an activity for managing the data stored in the database so that it can be stably serviced without errors and damages. To this end, it is necessary to establish a system that can quickly recover from problems in the database by controlling the authority to the data or by performing backup and disaster countermeasures.

In FIG. 4, in the data quality management process, the data utilization management refers to a management activity performed to grasp the data utilization status of the user 120 and to implement an environment that can maximize data utilization.

According to an embodiment of the present invention, detailed processes related to data quality in the data utilization management include task rule verification and utilization monitoring.

The business rule verification refers to a series of tasks for defining data quality checking criteria and methods, data quality checking, and data purification.

By verifying the business rule, it is possible to prevent inefficient use of data and to prevent data quality degradation that may occur during operation of the data. In order to maximize the effectiveness of the verification, data quality check criteria and methods should be defined in detail, and procedures for systematic tracking and correcting errors found as a result of quality checks should be strengthened.

The utilization monitoring refers to a task of periodically monitoring the data usage status in order to increase the satisfaction of the user 120 and increase the utilization of the data.

In the data quality management process of FIG. 4, the data utilization management includes a management process for defining data standardization principles, standard definitions according to standardization principles, standard changes, and standard application control to maintain a common view of data. it means.

Data quality standards that are highly relevant to the management of data standards are consistency and accuracy, and data quality can be improved by allowing the use of common terms and criteria among data parties.

According to an embodiment of the present invention, detailed processes related to data quality among the data standard management processes include term standard management and domain and code standard management.

The term standard management means to standardize the terms used to represent data and to lay the groundwork for everyone to communicate with the same awareness. To this end, the terms accepted in the data management should be derived to define their meanings, and the standardized terminology should be used to communicate clearly through data or to create outputs.

In the domain and code standard management, the domain standard means grouping logical and physically similar types of data among the data used throughout the enterprise to define the type and length of data belonging to the group. It means the substitution of symbols within a limited range according to the criteria defined to formalize the data values that can appear. At this time, the standard codes are not only codes that are legally and systematically assigned to each industry, but also codes that are defined and used within an institution or an enterprise.

In the data quality management process of FIG. 4, the data ownership management selects an owner who has responsibility and authority for data, and defines all the activities for defining and executing all procedures or processes of data quality management centering on the owner. it means.

Here, the data owner means a person who has authority to create, change, use, and delete data.

The data ownership management defines data quality standards for data owners, controls data processing rights and processes, and performs post verification on data quality to deal with data errors.

In FIG. 4, in the data quality management process, the user 120 view management refers to management of an environment in which the user 120 finally uses data.

The purpose of the user 120 view management is to maximize the data utilization by minimizing the access barrier of the user 120, the user 120 view should be designed and implemented from the user 120 perspective.

In addition, as the technology for implementing the view of the user 120 changes very rapidly, it is also important to identify related technology trends and apply them in a timely manner.

According to the present invention, the correlation between the data quality standard shown in FIG. 3 and the data quality management process shown in FIG. 4 is shown as Table 1.

 Process quality standard accuracy consistency Usefulness accessibility Timeliness Security Requirements Management Functional management ● Non-functional management ● Data structure management Flexibility management ● Duplicate management ● Data flow management Referential Integrity Management ● Integrated management ● Database administration Flow cycle management ● Flow metabolism management ● Data utilization management Performance management ● Security management ● Data standard management Business rule verification ● Utilization monitoring ● Data Ownership Management Terminology Standard Management ● Domain, code standard management ● ● User View Management Data Ownership Management ● ● User View Management ●

Referring to Table 1, of the data quality management process, the functional management of the requirements management is matched with the usefulness of the data quality criteria in FIG. 3, and the non-functional management of the requirements management is described in the data quality criteria in FIG. Matches the timeliness of

Further, in the data quality management process, the flexibility management of the data structure management is matched with the usefulness of the data quality criteria in FIG. 3, and the redundant management of the data structure management is matched with the consistency of the data quality criteria in the FIG. The referential integrity management of the data structure management is matched with the consistency of the data quality criteria in FIG. 3, and the integrated management of the data structure management is matched with the accessibility of the data quality criteria in FIG. 3.

Further, during the data quality management process, the flow cycle management of the data flow management is matched with the timeliness of the data quality criteria in FIG. 3, and the flow metabolism management of the data flow management is consistent with the consistency of the data quality criteria in FIG. Matches.

Further, during the data quality management process, performance management of the database management is matched with the timeliness of the data quality criteria in FIG. 3, and security management of the database management is matched with the security of the data quality standards in the FIG.

Further, during the data quality management process, the work rule verification of the data utilization management is matched with the accuracy of the data quality criteria in FIG. 3, and the utilization monitoring of the data utilization management is matched with the usefulness of the data quality criteria in the FIG. 3. do.

Further, in the data quality management process, the term standard management of the data standard management is matched with the consistency of the data quality criteria in FIG. 3, and the domain and code standard management of the data standard management is described in FIG. Matches with accuracy and consistency

Further, during the data quality control process, the data ownership management is matched with the accuracy and consistency of the data quality criteria in FIG.

In addition, during the data quality management process, the user 120 view management matches the accessibility of the data quality criteria in FIG. 3.

5 illustrates data quality management maturity according to an embodiment of the present invention.

In more detail, FIG. 5 is a data quality management process shown in FIG. 4 according to the data quality criteria shown in FIG. 3 in the data managed throughout the enterprise based on the data quality management framework shown in FIG. Is a diagram illustrating the data quality management maturity derived by evaluating.

In FIG. 5, the data quality management maturity level represents the degree of systematization of data quality management performed by an organization operating based on the data quality management framework shown in FIG. 1, and the higher the maturity level, the more systematic and sophisticated data quality management. Means that is being performed.

Referring to FIG. 5, data quality management maturity recognizes the problems and necessity of data quality management, and the data quality management introduction stage (or the first stage) 500 that performs partial data quality management activities (500), data quality Data quality management formalization stage (or second stage) in which all processes for management are formalized (505 stage) and data quality management integration stage (or third stage) in which consistent quality management of data is performed from the viewpoint of enterprise-wide integration. And 510, data quality control quantification step (or fourth step) in which data quality control is performed through quantitative measurement method 515, and data quality control for continuously deriving and adapting elements necessary for improving data quality control. And an optimization step (or a fifth step) 520.

In the data quality management maturity level, the data quality management introduction step 500 is an early stage of data quality management, which partially recognizes problems and necessity for data quality management, but lacks standard and formalized processes. Quality control is a step that is performed depending on the ability of each person in charge, and basic level of identification, certification, and backup plan is established, but overall there is a high possibility of data error.

In the data quality management maturity, the data quality management formalization step 505 is a policy for data quality management, and all processes related to regulations and data quality management are formalized, and basic quality management is performed according to a predetermined defined procedure. In this stage, the quality status of the data is a basic response to omissions and errors, and it is a step to define basic data standards and perform basic operational activities such as those used by unit systems and some organizations.

In the data quality management maturity level, the data quality management integration step 510 is a quality management of data that is consistent in terms of enterprise linkage and integration, and data is serviced without missing or error. The metadata is utilized to establish the linkage between data elements, the processes such as continuous performance, security, and disaster recovery are stabilized, and improvement is performed. However, in the data quality management integration step, all activities of the data quality management are qualitatively performed, but this is not quantified and measured and managed.

In the data quality management maturity level, the data quality management quantification step 515 is a step of continuously and stably managing data quality management activities through a quantitative method and measuring and confirming whether or not the goal is achieved.

In the data quality management maturity level, the data quality management optimization step 520 is a step of continuously deriving and executing an improvement of the quality management process and performing post management through evaluation, and not only optimization but continuous improvement in the present perspective. It is a step that can flexibly cope with future environmental changes through efforts.

According to an exemplary embodiment of the present invention, the data quality control maturity level is measured by data quality criteria such as the accuracy, consistency, usability, accessibility, timeliness, and security shown in FIG. 3. However, the method of measuring the data quality management maturity is different according to the quality standard, because the related processes affecting the data quality for each standard is different.

Table 2 shows the relationship between the data quality management process shown in FIG. 4 and the maturity of the data quality management.

Quality standards QA process Maturity level One 2 3 4 5 accuracy Data utilization management (business rule verification) ● ● ● ● ● Data Standards Management (Domain, Code Standards Management) ● Data Ownership Management ● ● consistency Data structure management (duplicate management) ● ● ● ● ● Data Structure Management (Reference Integrity Management) ● ● ● ● ● Data Flow Management (Flow Metabolism Management) ● ● ● ● ● Data Standards Management (Term Standard Management) ● ● Data Standards Management (Domain, Code Standards Management) ● ● Data Ownership Management ● ● Usefulness Requirements Management (Functional Management) ● ● ● ● ● Data structure management (flexibility management) ● Data utilization management (utilization monitoring) ● accessibility User View Management ● ● ● ● ● Structure Management (Integrated Management) ● ● ● Timeliness Requirements Management (Non-functional Management) ● ● ● ● ● Data Flow Management (Flow Cycle Management) ● ● ● ● ● Database Management (Performance Management) ● ● Security Database Management (Security Management) ● ● ● ● ●

Referring to Table 2, the accuracy shown in Fig. 3 is related to data utilization management (business rule verification), data standard management (domain and code standard management), and data ownership management of the data quality management process shown in Fig. 4. It is characterized by corresponding.

According to the present invention, the data utilization management (business rule verification) is related to the first stage, the second stage, the third stage, the fourth stage and the fifth stage of the accuracy data quality criteria, and the data Standard management (domain and code standard management) is associated with the second stage of the accuracy data quality criteria, and data ownership management is associated with the third and fourth stages of the accuracy data quality criteria.

In addition, the consistency shown in FIG. 3 includes data structure management (duplicate management), data structure management (reference integrity management), data flow management (flow metabolism management), and data standards of the data quality management process shown in FIG. Management (term standard management), data standard management (domain and code standard management), and data ownership management.

According to the present invention, the data structure management (duplicate management) relates to the first, second, third, fourth and fifth steps of the consistency data quality criteria, and the data structure management (see Integrity management) relates to the first, second, third, fourth, and fifth steps of the consistency data quality criteria, wherein the data flow management (flow metabolism management) Associated with the first, second, third, fourth, and fifth steps, wherein the data standard management (term standard management) relates to the second and third steps of the consistency data quality criteria. And the data standard management (domain and code standard management) is related to the second and third steps of the consistency data quality criterion, and the data ownership management is the third of the consistency data quality criterion. System and is related to the fourth step.

Also, the usefulness shown in FIG. 3 corresponds to requirement management (functional management), data structure management (flexibility management) and data utilization management (utilization monitoring) of the data quality management process shown in FIG. It is done.

According to the present invention, the requirements management (functional management) relates to the first, second, third, fourth and fifth steps of the usability data quality criteria, and the data structure management (flexibility). Management) relates to the third stage of the usability data quality criteria, and the data utilization management (utilization monitoring) relates to the second stage of the usability data quality criteria.

In addition, the accessibility shown in FIG. 3 is characterized in that it corresponds to the user 120 view management and structure management (integrated management) of the data quality management process shown in FIG.

According to the present invention, the user 120 view management is related to the first, second, third, fourth and fifth steps of the accessibility data quality criteria, and the structure management (integrated management). Is associated with the first, second and third stages of the accessibility data quality criteria.

Also, the timeliness shown in FIG. 3 corresponds to requirement management (non-functional management), data flow management (flow cycle management), and database management (performance management) of the data quality management process shown in FIG. It features.

According to the present invention, the requirements management (non-functional management) is related to the first, second, third, fourth and fifth steps of the timeliness data quality criterion, and the data flow management ( Flow cycle management) relates to the first, second, third, fourth, and fifth steps of the timeliness data quality criterion, wherein the database management (performance management) It is related to the second and third stages.

In addition, the timeliness shown in FIG. 3 corresponds to database management (security management) of the data quality management process shown in FIG.

According to the present invention, the database management (security management) relates to the first, second, third, fourth and fifth steps of the security data quality criteria.

6 illustrates the interrelationships between data quality management processes for evaluating maturity for data quality management in accordance with an embodiment of the present invention.

In more detail, FIG. 6 is a method for evaluating the maturity level for data quality management based on the data quality criteria shown in FIG. 3 for data managed throughout the enterprise based on the data quality management framework shown in FIG. FIG. 4 shows the interrelationships between the data quality management processes shown in FIG.

Referring to FIG. 6, the data utilization management (utilization monitoring) of the data quality management process illustrated in FIG. 4 is associated with requirement management (functional management) and user 120 view management, and the user 120 view management. Is associated with the requirements management (functional management), and the data structure management is associated with the requirements management (functional management) and data standard management, and is managed based on the data quality management framework shown in FIG. Data is associated with the data structure management and data standard management, the database management (performance management) is associated with the data and requirements management (non-functional management), and the database management (security management) is the data and requirements Management (non-functional management) and data ownership management, the data utilization management (business rule verification) is the data Is associated with the ownership of data management, the date flow management is associated with the data and data management ownership.

Based on the interrelationship between the data quality management processes shown in FIG. 6, the quality management of the data managed throughout the enterprise based on the data quality management framework shown in FIG. 1 according to the data quality criteria shown in FIG. Preferred embodiments of evaluating maturity refer to Figures 8, 15, 22, 29, 36 and 43.

Information verification means 740 is a diagram showing the configuration of a data quality management maturity evaluation system according to an embodiment of the present invention.

In more detail, FIG. 7 is managed on a company-wide basis based on the data quality management framework shown in FIG. 1 according to the data quality criteria shown in FIG. 3 and the data quality management process correlation shown in FIG. A schematic diagram of a system configuration for evaluating data quality management maturity for data.

Those skilled in the art to which the present invention pertains will be able to infer various implementation methods for evaluating the data quality management maturity by referring to and / or modifying the drawing 7, but the present invention is inferred from the above It includes all implementation methods and is not limited to the implementation method shown in FIG.

For example, when the data quality management maturity evaluation according to the present invention is performed online, each quality evaluation module shown in FIG. 7 may have the data quality standards shown in FIG. 3 and the data quality management process shown in FIG. At least one quality evaluation server for evaluating data quality management maturity level for at least one or more data managed throughout the enterprise based on the data quality management framework shown in FIG. The interface means shown in FIG. 7 may be network means (eg, at least one or more wired communication networks, and / or wireless communication networks) for communication connection between the quality assessment server and each terminal on the enterprise quality management system shown in FIG. 2.

Alternatively, when the data quality management maturity evaluation according to the present invention is performed offline, each of the quality evaluation modules shown in FIG. 7 includes the data quality standards shown in FIG. 3 and the data quality management process shown in FIG. At least one quality evaluation logic for evaluating data quality management maturity level for at least one or more data managed throughout the enterprise based on the data quality management framework shown in FIG. The interface means shown in FIG. 7 may be a task processing means (eg, at least one or more document (or document) exchange system) connecting the quality evaluation logic and each quality control subject on the enterprise quality management system shown in FIG. .

Referring to FIG. 7, the data quality management maturity evaluation system is configured to display at least one or more data that is managed enterprise-wide based on the data quality management framework shown in FIG. 1 according to the accuracy data quality criteria shown in FIG. An accuracy quality evaluating module 700 that evaluates and at least one data that is managed throughout the enterprise based on the data quality management framework shown in FIG. 1 according to the consistency data quality criteria shown in FIG. A quality evaluation module 705 and a usability quality evaluation module for evaluating at least one or more data that are managed enterprise-wide based on the data quality management framework shown in FIG. 1 according to the usability data quality criteria shown in FIG. 710, and the data quality management frame shown in FIG. Based on the access quality assessment module 715 for evaluating at least one or more data that is being managed throughout the enterprise based on the work in accordance with the accessibility data quality criteria shown in Figure 3 and the data quality management framework shown in Figure 1 The timeliness quality evaluation module 720 for evaluating at least one or more pieces of data managed throughout the enterprise based on the timeliness data quality criteria shown in FIG. 3 and the data quality management framework shown in FIG. Security quality evaluation module 725 for evaluating at least one or more data being managed according to the security data quality criteria shown in FIG. 3, and included in the quality level interface of the maturity level provided by at least one quality evaluation module. Number of inputs to enter quality assessment information by maturity level 735 and information verifying means 740 for identifying at least one output corresponding to the quality assessment information for each maturity level and inputting quality verification information for each stage of maturity to validate the quality assessment information for each stage of maturity. Characterized in that made.

The accuracy quality evaluation module 700 is at least one information input means 735 corresponding to the quality management entity shown in FIG. 2 through a predetermined interface means, and the accuracy quality evaluation interface according to the maturity level corresponding to the accuracy data quality criteria. In response thereto, the information input means 735 inputs at least one maturity level accuracy quality evaluation information through the maturity level accuracy quality evaluation interface corresponding to the accuracy data quality criterion to provide the interface means. It is characterized in that provided to the accuracy quality evaluation module 700 through.

When at least one or more maturity level accuracy quality evaluation information is provided from the information input means 735 to the accuracy quality evaluation module 700, the information verifying means 740 corresponds to at least one of the accuracy quality evaluation information corresponding to each maturity level. Validate one or more outputs, input accuracy quality verification information for each maturity level corresponding to the validation result of the output, and provide the accuracy quality verification module 700 to the accuracy quality evaluation module 700 through the interface means.

Thereafter, the accuracy quality evaluation module 700 compares the accuracy quality evaluation information of at least one or more maturity levels provided by the information input means 735 with the accuracy quality verification information of at least one or more maturity levels provided by the information verification means 740. And verifying the accuracy maturity level of at least one or more data that is managed throughout the enterprise based on the data quality management framework shown in FIG. 1, wherein the checked accuracy maturity information and the data quality evaluation are verified. The target information may be stored in a predetermined storage medium 730 by linking the target information.

The consistency quality evaluation module 705 is one or more information input means 735 corresponding to the quality management entity shown in FIG. 2 through a predetermined interface means. In response thereto, the information input means 735 inputs the at least one maturity level consistency quality evaluation information through the maturity level consistency level corresponding to the consistency data quality criterion to provide the interface means. It is characterized in that provided to the consistency quality evaluation module 705 through.

When at least one or more maturity level consistency information is provided from the information input means 735 to the consistency quality evaluation module 705, the information verification means 740 corresponds to at least one of the corresponding maturity level quality information. Validate one or more outputs, input consistency quality verification information corresponding to maturity levels corresponding to the validation result of the output, and provide the same to the consistency quality evaluation module 705 through the interface means.

Thereafter, the consistency quality evaluation module 705 compares the consistency quality evaluation information provided by the information input means 735 with the at least one maturity grade provided by the information verification means 740, and the consistency quality verification information provided by the information verifying means 740. And verifying the level of consistency maturity for at least one or more data that is being managed throughout the enterprise based on the data quality management framework shown in FIG. 1. The target information may be stored in a predetermined storage medium 730 by linking the target information.

The usability quality evaluation module 710 is at least one information input means 735 corresponding to the quality management entity shown in FIG. 2 through a predetermined interface means. In response thereto, the information input means 735 inputs the at least one maturity level of quality information through the maturity level usability quality evaluation interface corresponding to the usefulness data quality criterion to provide the interface means. Through the usability quality evaluation module 710 is characterized in that it provides.

When the information input means 735 provides the usefulness quality evaluation information for at least one or more maturity levels to the usefulness quality evaluation module 710, the information verifying means 740 corresponds to at least one of the usefulness quality evaluation information for each maturity level. Validate one or more outputs, input usability quality verification information for each stage of maturity corresponding to the validation result of the outputs, and provide them to the usability quality evaluation module 710 through the interface means.

Thereafter, the usefulness quality evaluation module 710 compares the usefulness quality evaluation information of at least one or more maturity stages provided by the information input unit 735 with the usefulness quality verification information of at least one or more maturity stages provided by the information verifying means 740. And verifying the usability maturity level of at least one or more data being managed throughout the enterprise based on the data quality management framework shown in FIG. 1, wherein the identified usefulness maturity information and the data quality evaluation are verified. The target information may be stored in a predetermined storage medium 730 by linking the target information.

The accessibility quality evaluation module 715 is one or more information input means 735 corresponding to the quality management entity shown in FIG. 2 through a predetermined interface means. In response, the information input means 735 inputs at least one maturity level accessibility quality evaluation information through the maturity level accessibility quality evaluation interface corresponding to the accessibility data quality criterion to provide the interface means. It is characterized in that provided through the accessibility quality evaluation module 715.

If at least one maturity level accessibility quality assessment information is provided from the information input means 735 to the accessibility quality assessment module 715, the information verification means 740 corresponds to at least one of accessibility quality assessment information corresponding to each maturity stage. And verifying one or more outputs, inputting accessibility quality verification information for each maturity level corresponding to a result of validation of the output, and providing the same to the accessibility quality evaluation module 715 through the interface means.

Then, the accessibility quality evaluation module 715 compares the accessibility quality assessment information of at least one or more maturity stages provided by the information input unit 735 with the accessibility quality verification information of at least one maturity stages provided by the information verifying means 740. And verifying accessibility maturity level for at least one or more data that is managed throughout the enterprise based on the data quality management framework shown in FIG. 1, wherein the identified accessibility maturity information and the data quality assessment The target information may be stored in a predetermined storage medium 730 by linking the target information.

The timeliness quality evaluation module 720 is one or more information input means 735 corresponding to the quality management entity shown in FIG. 2 through a predetermined interface means timeliness quality evaluation interface corresponding to the maturity level corresponding to timeliness data quality criteria In response, the information input means 735 inputs the at least one maturity level timeliness quality evaluation information through the maturity level timeliness quality evaluation interface corresponding to the timeliness data quality criterion to provide the interface means. It is characterized in that provided through the timeliness quality evaluation module 720.

When at least one or more maturity level timeliness quality evaluation information is provided from the information input means 735 to the timeliness quality evaluation module 720, the information verification means 740 corresponds to at least one of timeliness quality evaluation information corresponding to each maturity level. Validate one or more outputs, input timely quality verification information corresponding to the maturity level corresponding to the validation result of the outputs, and provide the information to the timeliness quality evaluation module 720 through the interface means.

Then, the timeliness quality evaluation module 720 compares the timeliness quality evaluation information provided by the information input means 735 with at least one maturity grade provided by the information verifying means 740, and the timeliness quality verification information provided by the information verifying means 740. And verifying timeliness maturity level of at least one or more data being managed throughout the enterprise based on the data quality management framework shown in FIG. 1, wherein the identified timeliness maturity information and the data quality assessment The target information may be stored in a predetermined storage medium 730 by linking the target information.

The security quality evaluation module 725 is at least one information input means 735 corresponding to the quality management entity shown in FIG. 2 through a predetermined interface means. And a quality evaluation interface. In response, the information input means 735 provides security quality evaluation information of at least one or more maturity levels through a security quality evaluation interface for each maturity level corresponding to the security data quality criteria. It is characterized in that the input to provide to the security quality evaluation module 725 through the interface means.

When at least one level of maturity level security quality information is provided from the information input unit 735 to the level of security quality evaluation module 725, the information verifying unit 740 is provided to each level of level level security quality evaluation information. Verifying at least one corresponding output, and inputting security quality verification information for each maturity level corresponding to the validation result of the output, and providing the same to the security quality evaluation module 725 through the interface means. do.

Thereafter, the security quality evaluation module 725 performs security quality evaluation information of at least one or more maturity levels provided by the information input means 735 and at least one or more maturity levels provided by the information verification means 740. Comparing and authenticating the information to identify security maturity levels of at least one data that is being managed throughout the enterprise based on the data quality management framework shown in FIG. And the data quality evaluation target information are linked and stored in a predetermined storage medium 730.

8 illustrates the interrelationships between data quality management processes for evaluating accuracy quality control maturity for data quality management in accordance with an embodiment of the present invention.

In more detail, FIG. 8 illustrates data quality management for evaluating the accuracy maturity level based on the accuracy data quality criteria shown in FIG. 3 for data managed throughout the enterprise based on the data quality management framework shown in FIG. A diagram illustrating the interrelationship between processes.

Among the data quality criteria shown in FIG. 3, the accuracy means that the values of objects (events, objects, concepts, etc.) existing in the real world are correctly stored without error, and the data is stored for the accuracy quality evaluation. Whether it has the same values as the real world (reality), whether the code and the distinct value are within the valid range (compatibility), whether there is data that must exist (mandatory), and the logical nature of the associated item. Make sure there are no errors (association).

Referring to FIG. 8, the data quality management process for evaluating the accuracy maturity according to the accuracy data quality criteria shown in FIG. 3 of the data quality management process shown in FIG. 6 includes data utilization management (business rule verification) and data. Standard management (domain, code standard management), data ownership management, and the like.

Here, the data utilization management (business rule verification) is a process of verifying the accuracy of the data through the business rule definition and verification, the data standard management (domain, code standard management) is the standard definition, change and operation of the code and domain The data ownership management refers to a process of selecting an owner who has responsibility and authority for data, and defining and executing all procedures or processes of data quality management centering on the owner.

According to an embodiment of the present invention, the accuracy quality control maturity is defined based on the data quality management maturity illustrated in FIG. 5 as follows.

The first step of the accuracy quality management maturity level is an introduction step, which recognizes a problem of data quality management and defines a work rule that needs to be managed to perform verification work. However, all activities are carried out individually or in part by staff and are not yet formalized.

The second level of accuracy quality management maturity is a formalization step, in which business rules that need to be managed are clearly identified and managed as standardized documents, and systematically verified and improved by using support tools such as tools. It also defines domains and code standards, manages them as documents, and periodically checks and improves database compliance. In other words, all processes related to data quality control verification and error improvement are formalized.

The third level of accuracy quality management maturity is an integration step, in which a company-wide verification of business rules requiring management is performed to track and analyze the cause of an error occurring, and document and systematically manage the error improvement status. In other words, data quality management verification, tracking, and improvement management are operated stably from a company-wide perspective, and data quality management is implemented at the enterprise level.

The fourth step of the accuracy quality management maturity level is a quantification step, in which a target is quantitatively determined for a verification result of a business rule that requires management or a data error improvement result, and a performance measurement is periodically performed by applying a measurement index. It is also a step to knowledge and manage the data error history and to adjust the responsibilities and roles of the relevant process managers as necessary. In other words, data quality management is performed quantitatively at the enterprise level.

The fifth step of the accuracy quality management maturity level is an optimization step, which analyzes the business rules and error patterns that are managed by knowledge (for example, shared throughout the enterprise) to remove the root cause of the occurrence of data quality control problems and to carry out continuous process improvement activities. It is a step to perform. That is, it can flexibly cope with the future environment as well as the optimization of the current quality control.

9 is a diagram illustrating a configuration of a system for evaluating accuracy quality management maturity for evaluating accuracy quality assessment maturity according to an embodiment of the present invention.

More specifically, FIG. 9 is managed on a company-wide basis based on the data quality management framework shown in FIG. 1 according to the correlation of the accuracy data quality standard shown in FIG. 3 and the accuracy quality management process shown in FIG. The present invention relates to a system configuration for evaluating accuracy quality control maturity for existing data. Those skilled in the art to which the present invention pertains can refer to and / or modify this drawing to evaluate accuracy quality assessment maturity. Various implementation methods for the accuracy quality control maturity evaluation system configuration may be inferred, but the present invention includes all the implementation methods inferred above, and is not limited to the implementation method shown in FIG.

Hereinafter, on the accuracy quality control maturity evaluation system shown in FIG. 9, an information input means 735 corresponding to a quality control agent on the data quality management system shown in FIG. 2 provides an accuracy quality evaluation interface according to maturity levels. Correspondingly, receive the accuracy quality evaluation information according to the maturity level from the information input means 735, and provide the accuracy quality verification interface according to the maturity level to the information verification means 740 for verifying the accuracy quality evaluation information according to the maturity level. After receiving the accuracy quality verification information according to the maturity level from the information verifying means 740, and compares and authenticates the accuracy quality evaluation information according to the maturity level and the accuracy quality verification information according to the maturity level, the data quality management shown in FIG. Based on the framework Subject to assess the accuracy of the quality management maturity to the data being managed privately called "precision quality evaluation module (700)."

Referring to FIG. 9 in accordance with an embodiment of the present invention, the accuracy quality control maturity evaluation system for evaluating the accuracy quality assessment maturity corresponds to at least one data quality management entity shown in FIG. Information input means 735 for inputting at least one accuracy level information of each maturity level corresponding to the accuracy quality evaluation interface for each level of maturity level, and corresponding to the data quality evaluation subject, and inputted through the information input means 735. Information verification means 740 for checking the output corresponding to the accuracy quality evaluation information according to the maturity level, and inputting the accuracy quality verification information corresponding to the at least one maturity level accuracy quality verification interface; Last name entered via 735 The accuracy of the data that is being managed throughout the enterprise based on the data quality management framework shown in Figure 1 by comparing the accuracy quality verification information for each step and the accuracy quality verification information for each stage of maturity inputted through the information verification means 740 And an accuracy quality evaluation module 700 for evaluating the quality management maturity level. The information input means 735, the information verification means 740, and the accuracy quality evaluation module 700 include a predetermined interface means. It is characterized by interworking through.

According to an embodiment of the present invention, when the accuracy quality evaluation procedure is performed online, the information input means 735 may be a wired network (eg, Asymmetric Digital ADSL) based on Transmission Control Protocol / Internet Protocol (TCP / IP). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the accuracy quality assessment module 700 via a Subscriber Line / VDSL (Very High-Data Rate Digital Subscriber Line) and / or a cable communications network. A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network The information input means 735 outputs at least one maturity level accuracy quality evaluation interface provided by the accuracy quality evaluation module 700, and at least one of the maturity level accuracy quality evaluation interface. It is preferable that a function configuration (eg, a browser program and a communication function) is provided for inputting and / or selecting the accuracy quality evaluation information according to the above maturity levels and providing the same to the accuracy quality evaluation module 700.

Those skilled in the art to which the present invention pertains can easily infer the characteristics of the information input means 735 corresponding to at least one or more wired terminals and / or wireless terminals. Is omitted for convenience.

When the information input means 735 is a wired terminal according to an embodiment of the present invention, the interface means includes the TCP / IP-based wired network, and the information input means 735 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another exemplary embodiment of the present invention, when the accuracy quality evaluation procedure is performed offline, the information input means 735 corresponds to the accuracy quality evaluation logic provided with the accuracy quality evaluation module 700. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the accuracy quality evaluation procedure is performed online according to an embodiment of the present invention, the accuracy quality evaluation module 700 provides the web interface corresponding to the information input means 735 and the interface means. And an interface unit 900 for connecting and managing the information input means 735 and a predetermined communication channel through an interface means, whereby the accuracy quality evaluation module 700 provides the information input means. 735 and a web server that is communicatively connected via wired and / or wireless network.

In this case, when the information input means 735 is a wired terminal to which a communication channel is connected through a TCP / IP based wired network, the interface unit 900 may connect the information input means 735 with Hyper-Text Transfer. Connect a predetermined communication channel based on a protocol, and provide the accuracy quality evaluation interface and / or information according to the maturity level in the form of a Hyper-Text Markup Language (HTML) compatible document to the information input means 735 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen and receiving and processing accuracy quality evaluation information, which is input (or selected), from the information input means 735 through the accuracy quality evaluation interface for each maturity level.

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through a CDMA-based wireless network, the interface unit 900 may include the information input means 735 and a wireless application protocol (WAP) and / or the like. Or connect a predetermined communication channel based on the ME (Mobile Explorer) protocol, and through the communication channel to the information input means 735, the accuracy quality evaluation of the maturity level of the maturity in the form of WML (Wireless Markup Language) and / or HTML compatible document It is preferable to perform a function of transmitting and outputting an interface and / or an information providing screen and receiving and processing accuracy quality assessment information corresponding to the maturity level accuracy quality evaluation interface corresponding to the maturity level accuracy interface from the information input means 735. .

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 900 corresponds to the information input means 735 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output an accuracy quality evaluation interface and / or an information providing screen according to a certain maturity level to the information input means 735 through the communication channel, and output the information input means. And receiving and processing a predetermined maturity level accuracy quality evaluation information corresponding to the maturity level accuracy quality evaluation interface 735, and / or the information input means 735 is based on DataTAC / Mobitex. When the communication channel is connected to the wireless terminal through a wireless network, the interface unit 900 is the information An accuracy quality evaluation interface according to a maturity level according to a maturity level, connected to a predetermined communication channel based on an output means 735 and a wireless protocol corresponding to the DataTAC / Mobitex standard, and to the information input means 735 through the communication channel; Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing accuracy quality evaluation information corresponding to the maturity level corresponding to the accuracy quality evaluation interface for each maturity level from the information input means 735.

According to another exemplary embodiment of the present invention, when the accuracy quality evaluation procedure is performed offline, the accuracy quality evaluation module 700 operates based on the data quality management framework shown in FIG. It is preferable to include the accuracy quality evaluation logic provided in the data quality evaluation institution in response to the business logic.

Referring to FIG. 9, the accuracy quality evaluation module 700 interoperates with the interface unit 900 so that the information input means 735 inputs (or selects) and transmits accuracy quality evaluation information according to a predetermined maturity level. An interface providing unit 905 for generating (or extracting) an accuracy quality evaluation interface for each predetermined maturity level, and interworking with the interface unit 900, the information input means 735 provides the accuracy quality evaluation interface for each maturity level. It is characterized in that it comprises an information receiving unit 910 for receiving the accurate quality evaluation information for each stage of maturity to be input (or selected) through the transmission.

The interface providing unit 905 inputs the accuracy quality evaluation information according to the maturity level according to a predetermined maturity level (or a browser program provided in the information input unit 735) provided in the information input unit 735 (or a browser program provided in the information input unit 735). Select) to generate an accuracy quality assessment interface for each predetermined maturity level that can be transmitted to the accuracy quality assessment module 700 via the interface means, and / or to extract from a predetermined database, and interwork with the interface unit 900. It is characterized in that to provide the information input means 735 through the interface means to provide the accuracy quality evaluation interface for each stage of maturity generated (or extracted).

According to an embodiment of the present invention, the accuracy quality evaluation interface according to the maturity level inputs (or selects) at least one or more accuracy quality evaluation queries corresponding to the maturity level and the accuracy quality evaluation information corresponding to each accuracy quality evaluation query. It is preferable that the user 120 comprises an interface.

In this case, the first level accuracy quality evaluation query is a query for confirming whether an essential item for data managed through the data quality management framework shown in FIG. 1 is defined, and a data range managed through the data quality management framework. It is characterized by including a query to check whether is defined.

In addition, the second level accuracy quality evaluation query is a query for confirming whether to perform a pre / post check of essential items for data managed through the data quality management framework shown in FIG. 1, and the data shown in FIG. A query to check whether there is a method to confirm the facts about the data managed through the quality management framework, and a query to check whether the data managed through the data quality management framework shown in FIG. And a query for confirming whether or not to define an association of attribute values with respect to data managed through the data quality management framework shown in FIG. 1.

In addition, the third level accuracy quality evaluation query is a query for checking whether the error date for the data managed through the data quality management framework shown in FIG. 1 can be tracked and responded to, and the data quality shown in FIG. Characterized in that it comprises a query to confirm whether to perform the data owner responsibility managed through the management framework.

In addition, the fourth level accuracy quality evaluation query is a query for confirming whether to develop and evaluate the accuracy measurement index for the data managed through the data quality management framework shown in FIG. 1, and the data quality management shown in FIG. Including a query to check whether knowledge tracking for data error management managed through the framework is being performed, and a query to check whether performance management of the data owner managed through the data quality management framework shown in FIG. 1 is performed. Characterized in that made.

In addition, the fifth step accuracy quality evaluation query is characterized in that it comprises a query to determine whether to remove the error root cause for the data managed through the data quality management framework shown in FIG.

Subsequently, the information input unit 735 inputs (or selects) predetermined precision quality evaluation information for each maturity level based on the accuracy quality evaluation interface for each maturity level, and inputs the accuracy quality evaluation information for the input (or selected) maturity level. And transmits to the accuracy quality assessment module 700 via the interface means.

The information receiving unit 910 inputs (or selects) predetermined quality accuracy information for each stage of maturity from the information input unit 735 through the accuracy quality assessment interface for each maturity level, and transmits the information through the interface means. In connection with the 900, it is characterized in that for receiving the accuracy quality evaluation information according to the maturity level.

When the accuracy quality evaluation procedure is performed online according to an embodiment of the present invention, the information verification means 740 is a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (eg, Asymmetric Digital ADSL). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the accuracy quality assessment module 700 via a Subscriber Line / VDSL (Very High-Data Rate Digital Subscriber Line) and / or a cable communications network. A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network The information verifying means 740 outputs at least one maturity level accuracy quality verification interface provided by the accuracy quality evaluation module 700, and at least one of the maturity level accuracy quality verification interfaces. A function configuration (eg, a browser program and a communication function) for inputting and / or selecting the accuracy quality verification information according to the above maturity levels and providing the accuracy quality verification module 700 to the accuracy quality evaluation module 700 may be provided.

Those skilled in the art to which the present invention pertains can easily infer the features of the information verification means 740 corresponding to at least one or more wired terminals and / or wireless terminals, Is omitted for convenience.

When the information verifying means 740 is a wired terminal, the interface means includes the TCP / IP based wired network, and the information verifying means 740 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another exemplary embodiment of the present invention, when the accuracy quality evaluation procedure is performed offline, the information verifying means 740 corresponds to the accuracy quality evaluation logic provided with the accuracy quality evaluation module 700. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the accuracy quality evaluation procedure is performed online according to an embodiment of the present invention, the accuracy quality evaluation module 700 may provide a web interface corresponding to the information verifying means 740 and the interface means. And an interface unit 900 for connecting and managing the information verifying means 740 and a predetermined communication channel through an interface means, whereby the accuracy quality evaluation module 700 provides the information verifying means. 740 and a web server that are in communication with each other via a wired and / or wireless network.

Here, when the information verifying means 740 is a wired terminal to which a communication channel is connected through a TCP / IP based wired network, the interface unit 900 may connect the information verifying means 740 with HTTP (Hyper-Text Transfer). Connect a predetermined communication channel based on a protocol, and provide an accuracy quality verification interface and / or information according to the maturity level of a Hyper-Text Markup Language (HTML) compatible document form to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen and receiving and processing accuracy quality verification information, which is input (or selected), from the information verification means 740 through the accuracy quality verification interface for each maturity level.

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through a CDMA based wireless network, the interface unit 900 may include the information verifying means 740 and a wireless application protocol (WAP) and / or the like. Or connecting a predetermined communication channel based on the ME (Mobile Explorer) protocol, and verifying the accuracy quality according to the maturity level in the form of Wireless Markup Language (WML) and / or HTML compatible document to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting an interface and / or an information providing screen and receiving and processing accuracy quality verification information corresponding to the maturity level accuracy quality verification interface corresponding to the maturity level accuracy interface from the information verification means 740. .

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 900 corresponds to the information verifying means 740 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output an accuracy quality verification interface and / or an information providing screen for each predetermined maturity level to the information verification means 740 via the communication channel, and output the information verification means. It is preferable to perform the function of receiving and processing the accuracy quality verification information for each predetermined maturity level corresponding to the accuracy quality verification interface for each maturity level from 740, and / or the information verifying means 740 is based on DataTAC / Mobitex. When the communication channel is connected to the wireless terminal through a wireless network, the interface unit 900 is the information Connecting the communication unit 740 with a predetermined communication channel based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and passing through the communication channel to the information verifying unit 740 with an accuracy quality verification interface for each predetermined maturity level; Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing accuracy quality verification information for each maturity level corresponding to the accuracy quality verification interface for each maturity level from the information verifying means 740.

According to another exemplary embodiment of the present invention, when the accuracy quality evaluation procedure is performed offline, the accuracy quality evaluation module 700 operates based on the data quality management framework shown in FIG. It is preferable to include the accuracy quality evaluation logic provided in the data quality evaluation institution in response to the business logic.

Referring to FIG. 9, when the accuracy quality evaluation information for each maturity level is provided from the information input means 735, the accuracy quality evaluation module 700 interoperates with the interface unit 900 to verify the information verification means 740. An interface provider 905 for generating (or extracting) an accuracy quality verification interface for each predetermined maturity level and inputting (or selecting) and transmitting the accuracy quality verification information for each predetermined maturity level, and the interface unit 900. And an information receiving unit 910 for receiving the accuracy quality verification information for each of the maturity levels inputted (or selected) and transmitted by the information verification means 740 through the accuracy quality verification interface for each maturity level. .

The interface providing unit 905 inputs (or corrects) quality assurance information for each stage of maturity in response to a functional configuration (eg, a browser program provided in the information verifying means 740) provided in the information verifying means 740 (or Select) to generate an accuracy maturity level verification interface for each predetermined maturity level that can be transmitted to the accuracy quality evaluation module 700 through the interface means, and / or extract it from a predetermined database, and interwork with the interface unit 900. It is characterized in that to provide the information verification means 740 through the interface means to provide the accuracy quality verification interface for the generated (or extracted) stages of maturity.

According to an exemplary embodiment of the present invention, the accuracy quality verification interface according to the maturity level may include a predetermined examiner evaluating the data quality management maturity level for at least one output corresponding to at least one or more accuracy quality evaluation information corresponding to the maturity level. It is preferable to include a user 120 interface for checking the validity and input (or select) the accuracy quality verification information corresponding thereto.

Here, the at least one output corresponding to the first level of accuracy quality evaluation information is a design document (or a document corresponding to a query for confirming whether or not to define an essential item for data managed through the data quality management framework shown in FIG. 1). ERD), and includes a design document (or ERD) and / or code definition document or code table corresponding to a query for checking whether a data range managed through the data quality management framework is defined. Characterized in that made.

In addition, the at least one output corresponding to the second level of accuracy quality evaluation information corresponds to a query for confirming whether to perform a pre / post check of required items for data managed through the data quality management framework shown in FIG. And a design document (or an ERD) and / or a required item check result recording document. A method of confirming the fact of the data managed through the data quality management framework shown in FIG. And a fact check list and / or a fact check result recording document corresponding to a query for confirming whether the data exists, and whether the data managed through the data quality management framework shown in FIG. The domain standard definition document corresponding to the query being verified and / or It includes a code standard definition document (or code table) and / or regulatory related documents and / or organization chart, and the attribute value for the data managed through the data quality management framework shown in Figure 1 It is characterized in that it comprises a design document corresponding to the query to determine whether to define the association.

In addition, the at least one output corresponding to the third level of accuracy quality evaluation information corresponds to a query for checking whether the error date of the data managed through the data quality management framework shown in FIG. And a regulatory document and / or a requirements definition and / or corresponding to a query for confirming that the data owner responsibility system is managed through the data quality management framework shown in FIG. Characterized in that it comprises a check result document.

In addition, at least one output corresponding to the fourth-stage accuracy quality evaluation information is measured in response to a query for confirming whether to develop and evaluate an accuracy measurement indicator for data managed through the data quality management framework shown in FIG. An index definition document and / or a measurement result document, wherein the error corresponds to a query for checking whether knowledge tracking for data error resolution is managed through the data quality management framework shown in FIG. It includes a knowledge D / B (or error response document), the owner performance corresponding to the query to confirm whether the performance management of the data owner managed through the data quality management framework shown in Figure 1 Including management baseline documents and / or owner evaluation results documents. It characterized by comprising.

In addition, the at least one output corresponding to the fifth level of accuracy quality evaluation information is an error corresponding to a query for confirming whether an error root cause removal operation is performed on data managed through the data quality management framework shown in FIG. A cause removal document and / or a process improvement document.

Thereafter, the information verifying means 740 inputs (or selects) predetermined precision quality verification information for each maturity level based on the accuracy quality verification interface for each maturity level, and inputs the accuracy quality verification information for each of the input (or selected) maturity levels. And transmits to the accuracy quality assessment module 700 via the interface means.

The information receiving unit 910 inputs (or selects) predetermined quality accuracy information for each maturity level through the accuracy level verification interface for each maturity level and transmits the information through the interface means. In connection with the 900, it is characterized in that for receiving the accuracy quality verification information for each stage of maturity.

Referring to FIG. 9, when the accuracy quality evaluation information is provided from the information input means 735, the accuracy quality evaluation information according to the maturity level is provided, and the accuracy quality verification information is provided from the information verification means 740. And an information checking unit 915 for checking accuracy maturity information for the data quality evaluation target by comparing the accuracy quality evaluation information for each maturity level with the accuracy quality verification information for each maturity level, and the identified accuracy maturity information and data quality evaluation target. And an information storage unit 920 for linking and storing the information in a predetermined storage medium 730.

The information checking unit 915 responds to all positive responses to the accuracy quality evaluation information of the maturity level from the information input means 735 to the accuracy quality evaluation query of the one or more maturity levels included in the accuracy quality evaluation interface of the maturity level. Response) is included.

If the accuracy quality assessment information for each of the maturity stages includes at least one full positive response to the accuracy quality assessment query for each of the maturity stages, the information checking unit 915 may determine the accuracy quality verification information for each stage of maturity from the information verification unit 740. Check whether all positive responses are included in at least one or more maturity-level accuracy quality verification queries included in the accuracy-quality verification interface for each maturity level, and provided from the information input means 735. The accuracy quality assessment information for each maturity level includes at least one full positive response to the accuracy quality assessment query for each stage of maturity level, and at least one or more pieces of the accuracy quality verification information for each level of maturity provided from the information verification means 740. When the total positive response to the accuracy quality evaluation query for each stage of maturity is included, the information checking unit 915 confirms that the data quality evaluation target reaches the accuracy quality management maturity level.

On the other hand, the accuracy quality assessment information of the maturity level includes at least one negative response, and / or the accuracy quality assessment information of the maturity level includes the overall positive response to the accuracy quality assessment query of the at least one maturity level. When at least one negative response is included in the provided accuracy quality verification information according to the maturity level, the information checking unit 915 indicates that the data quality evaluation target has not reached the corresponding accuracy quality management maturity level. Check it.

For example, when the first step accuracy quality evaluation information includes the entire positive response to the at least one first step accuracy quality evaluation query, the information checking unit 915 may perform the first step from the information verifying means 740. Verifying whether the accuracy quality verification information includes an all positive response to at least one first level accuracy quality verification query included in the first level accuracy quality verification interface, and inputting the information. The first level accuracy quality verification information provided from the means 735 includes the entire positive response to at least one first level accuracy quality assessment query, and the first level accuracy quality verification information provided from the information verifying means 740. Corresponding to the at least one first level accuracy quality assessment information If it contains a total positive response to the at least one output validation, the information check unit 915 confirms that the data quality target is reached in the quality control accuracy maturity introducing step.

However, the first stage accuracy quality assessment information includes at least one or more negative responses, and / or the first stage accuracy quality assessment information includes at least one overall positive for the first stage accuracy quality assessment query. If a response is included, but the at least one negative response is included in the first step accuracy quality verification information provided, the information checking unit 915 introduces the accuracy quality control maturity to the data quality evaluation target. Confirm that the step has not been reached.

Alternatively, when the second level accuracy quality evaluation information includes the entire positive response to the at least one second level accuracy quality evaluation query, the information checking unit 915 may perform the second step from the information verifying means 740. Verifying whether the accuracy quality verification information includes an all positive response for at least one or more second level accuracy quality verification queries included in the second level accuracy quality verification interface, and inputting the information. The second level accuracy quality verification information provided from the means 735 includes the entire positive response to the at least one second level accuracy quality assessment query, and the second level accuracy quality verification information provided from the information verifying means 740. Corresponding to the at least one second level accuracy quality assessment information in When a total positive response to at least one output validation is included, the information checking unit 915 confirms that the data quality evaluation target has reached a corresponding level of accuracy quality control maturity.

However, the second stage accuracy quality assessment information includes at least one negative response, and / or the overall positive for the at least one second stage accuracy quality assessment query in the second stage accuracy quality assessment information. If a response is included, but the at least one negative response is included in the provided second level accuracy quality verification information, the information checking unit 915 may determine that the data quality evaluation target is the correct quality management maturity. Confirm that the step has not been reached.

Alternatively, when the third level accuracy quality evaluation information includes the entire positive response to the at least one third level accuracy quality evaluation query, the information checking unit 915 may perform the third step from the information verifying means 740. Verifying whether the accuracy quality verification information includes an all positive response to at least one third level accuracy quality verification query included in the third level accuracy quality verification interface, and inputting the information. The third level accuracy quality verification information provided from the means 735 includes the entire positive response to at least one third level accuracy quality assessment query, and the third level accuracy quality verification information provided from the information verifying means 740. Corresponding to the at least one third level accuracy quality assessment information to When a total positive response to at least one output validation is included, the information checking unit 915 confirms that the data quality evaluation target has reached the level of accuracy quality management maturity integration.

However, the third stage accuracy quality assessment information includes at least one or more negative responses, and / or the overall positive for the at least one third stage accuracy quality assessment query in the third stage accuracy quality assessment information. If a response is included, but the at least one negative response is included in the provided third level accuracy quality verification information, the information checking unit 915 integrates the data quality evaluation target as the accuracy quality management maturity. Confirm that the step has not been reached.

Alternatively, when the fourth level accuracy quality evaluation information includes the entire positive response to the at least one fourth level accuracy quality evaluation query, the information checking unit 915 may perform the fourth step from the information verifying means 740. Verifying whether the accuracy quality verification information includes an all positive response to at least one fourth level accuracy quality verification query included in the fourth level accuracy quality verification interface, and inputting the information. The fourth level accuracy quality verification information provided from the means 735 includes the entire positive response to at least one fourth level accuracy quality assessment query, and the fourth level accuracy quality verification information provided from the information verifying means 740. Corresponding to the at least one fourth level accuracy quality assessment information to When the entire positive response to the at least one output validation is included, the information checking unit 915 confirms that the data quality evaluation target has reached the level of quantification of the accuracy quality control maturity.

However, at least one negative response is included in the fourth-level accuracy quality assessment information, and / or at least one overall positive for the at least one fourth-level accuracy quality assessment query is included in the fourth-level accuracy quality assessment information. If a response is included but the at least one negative response is included in the provided fourth level accuracy quality verification information, the information checking unit 915 quantifies the accuracy quality control maturity of the data quality evaluation target. Confirm that the step has not been reached.

Alternatively, when the fifth level accuracy quality evaluation information includes the entire positive response to the at least one fifth level accuracy quality evaluation query, the information checking unit 915 may perform the fifth step from the information verifying means 740. Verifying whether the accuracy quality verification information includes an all positive response for at least one or more fifth level accuracy quality verification queries included in the fifth level accuracy quality verification interface, and inputting the information. The fifth level accuracy quality verification information provided from the means 735 includes the entire positive response to the at least one fifth level accuracy quality assessment query, and the fifth level accuracy quality verification information provided from the information verifying means 740. Corresponding to the at least one fifth level accuracy quality assessment information to When the entire positive response to at least one output validation is included, the information checking unit 915 confirms that the data quality evaluation target has reached the accuracy quality management maturity optimization step.

However, the fifth level accuracy quality assessment information includes at least one negative response, and / or the overall positive for the at least one fifth level accuracy quality assessment query in the fifth level accuracy quality assessment information. When the response is included, but the at least one negative response is included in the provided fifth level accuracy quality verification information, the information checking unit 915 optimizes the accuracy quality management maturity of the data quality evaluation target. Confirm that the step has not been reached.

10 is a diagram illustrating a process of evaluating first-level accuracy quality evaluation maturity according to an embodiment of the present invention.

In more detail, FIG. 10 illustrates an accuracy quality evaluation module 700 and an information input means 735 corresponding to at least one data quality management entity and the accuracy quality evaluation entity in the accuracy quality management maturity evaluation system illustrated in FIG. In the process of the information verification means 740 corresponding to the step of evaluating the first stage accuracy quality evaluation maturity for the data managed by the data quality management framework shown in Figure 1, the present invention Those skilled in the art may refer to and / or modify this drawing 10 to infer various implementation methods for evaluating accuracy quality assessment maturity for evaluating accuracy quality assessment maturity, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. It does not.

Hereinafter, in FIG. 10, the accuracy quality evaluation module 700 on the accuracy quality management maturity evaluation system shown in FIG. 9 is referred to as an "evaluation module" for convenience.

Referring to FIG. 10, an evaluation module on the accuracy quality control maturity evaluation system shown in FIG. 9 includes first level accuracy including at least one first level accuracy quality assessment query for evaluating first level accuracy quality assessment maturity. A quality evaluation interface is generated (or extracted) (1000) and the first step accuracy quality evaluation interface is provided (1005) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, at least one first level accuracy quality evaluation query included in the first level accuracy quality evaluation interface is a required item for data managed through the data quality management framework shown in FIG. And a query for checking whether or not to define a data range and a data range managed through the data quality management framework.

Thereafter, the information input means 735 inputs (or selects) at least one first step accuracy quality evaluation information corresponding to at least one first step accuracy quality evaluation query through the first step accuracy quality evaluation interface. (1010).

According to the exemplary embodiment of the present invention, the first step accuracy quality evaluation information may include one of a positive response and a negative response to the first step accuracy quality evaluation query.

When all of the first level accuracy quality evaluation information corresponding to the first level accuracy quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the evaluation module to the evaluation module through the interface means. The first step accuracy quality evaluation information is provided (1015), and in response, the evaluation module checks whether the overall positive response to the first step accuracy quality evaluation information (1020).

If the overall positive response to the first level of accuracy quality assessment information is not verified (or at least one or more negative responses are identified) (1025), the evaluation module determines the accuracy quality control maturity level for the data quality assessment target. In step 1030, the controller checks the data quality evaluation maturity information with the level 0 accuracy quality management maturity information for the data quality evaluation target and stores the data quality evaluation target information in a predetermined storage medium 730. (1035).

On the other hand, if the overall positive response to the first level of accuracy quality evaluation is confirmed (1025), the evaluation module includes at least one corresponding to at least one first level of accuracy quality verification information for evaluating the first level of accuracy quality verification maturity. Generating (or extracting) a first level accuracy quality verification interface for checking the validity of the output and inputting (or selecting) corresponding first level accuracy quality verification information (1040), and through a predetermined interface means. The information verifying means 740 provides the first step accuracy quality verification interface (1045).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the first level of accuracy quality verification information, and then at least corresponding to the validation result through the first level of accuracy quality verification interface. Input (or select) one or more first level accuracy quality verification information (1050).

According to an embodiment of the present invention, a query for confirming that at least one output corresponding to the first level accuracy quality evaluation information defines an essential item for data managed through the data quality management framework shown in FIG. Design document (or ERD) corresponding to the, characterized in that the design document (or ERD) and / or code definition corresponding to the query to determine whether the data range managed through the data quality management framework is defined It is characterized by including a document or a code table.

According to an embodiment of the present invention, the first step accuracy quality verification information may be a positive response corresponding to a result of validating at least one or more outputs corresponding to the at least one first step accuracy quality evaluation information, or a negative response. It is preferable to comprise a.

When all of the first level accuracy quality verification information is input (or selected), the information verification means 740 provides the first level accuracy quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validity verification result of at least one output corresponding to the at least one first level accuracy quality evaluation information corresponds to the first level accuracy quality verification information. (1060).

If the overall positive response to the first level of accuracy quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one first level of accuracy quality assessment information is not verified) (1065), The evaluation module checks the accuracy quality control maturity level of the data quality evaluation target in the 0th stage (not introduced stage) (1030), and the level 0 accuracy quality control maturity information of the data quality evaluation target and the data quality. The evaluation target information is cooperatively stored and stored in the predetermined storage medium 730 (1035).

On the other hand, if the overall positive response to the first-level accuracy quality assessment is confirmed (eg, if validity of all the outputs corresponding to all the first-level accuracy quality assessment information is confirmed) (1065), the evaluation module performs the second stage. Accuracy Quality Assessment The process of evaluating maturity.

11 is a diagram illustrating a process of evaluating the second-level accuracy quality evaluation maturity according to the method of the present invention.

In more detail, FIG. 11 illustrates an accuracy quality evaluation module 700 and an information input means 735 corresponding to at least one data quality management entity and the accuracy quality evaluation entity in the accuracy quality management maturity evaluation system shown in FIG. In the process of the information verification means 740 corresponding to the step of evaluating the second stage accuracy quality evaluation maturity for the data managed by the data quality management framework shown in Figure 1, the present invention Those skilled in the art will be able to infer various implementation methods for evaluating accuracy quality assessment maturity for evaluating accuracy quality assessment maturity by referring to and / or modifying the drawing 11, but the present invention. Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. It does not.

In the following figure 11, the accuracy quality evaluation module 700 on the accuracy quality control maturity evaluation system shown in FIG. 9 is referred to as an "evaluation module" for convenience.

Referring to FIG. 11, the evaluation module on the accuracy quality control maturity evaluation system shown in FIG. 9 includes a second level accuracy including at least one second level accuracy quality evaluation query for evaluating the second level accuracy quality evaluation maturity. A quality evaluation interface is generated (or extracted) (1100), and the information input means 735 is provided to the information input means 735 through a predetermined interface means (1105).

According to an embodiment of the present invention, at least one or more second level accuracy quality evaluation queries included in the second level accuracy quality evaluation interface are essential items for data managed through the data quality management framework shown in FIG. A query for confirming whether a pre / post check is performed, a query for confirming whether there is a method for confirming the authenticity of data managed through the data quality management framework shown in FIG. A query for checking whether data managed through the data quality management framework conforms to the standard and a query for checking an association between attribute values for data managed through the data quality management framework shown in FIG. It is characterized by comprising.

Thereafter, the information input means 735 inputs (or selects) at least one or more second level accuracy quality evaluation information corresponding to at least one or more second level accuracy quality evaluation queries through the second level accuracy quality evaluation interface. (1110).

According to the exemplary embodiment of the present invention, the second level accuracy quality evaluation information may include one of a positive response and a negative response to the second level accuracy quality evaluation query.

When all of the second level accuracy quality evaluation information corresponding to the second level accuracy quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the evaluation module to the evaluation module through the interface means. In operation 1115, the controller 110 provides the second level accuracy quality evaluation information, and in response, the evaluation module checks whether the overall positive response to the second level accuracy quality evaluation information is 1120.

If the overall positive response to the second level of accuracy quality assessment information is not confirmed (or at least one or more negative responses are identified) (1125), the evaluation module determines the accuracy quality control maturity level for the data quality assessment target. In step 1130, the first step accuracy quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (1135).

On the other hand, if the overall positive response to the second-level accuracy quality evaluation is confirmed (1125), the evaluation module includes at least one corresponding to at least one or more second-level accuracy quality verification information for evaluating the second-level accuracy quality verification maturity. Generating (or extracting) a second stage accuracy quality verification interface for checking the validity of the output and inputting (or selecting) second stage accuracy quality verification information corresponding thereto (1140), and through a predetermined interface means. In operation 1145, the information verifying means 740 provides the second level accuracy quality verification interface.

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the second level of accuracy quality verification information, and then at least corresponding to the validation result through the second level of accuracy quality verification interface. Input (or select) one or more second stage accuracy quality verification information (1150).

According to an embodiment of the present invention, the at least one output corresponding to the second level of accuracy quality evaluation information may be subjected to pre / post check of essential items for data managed through the data quality management framework shown in FIG. It includes a design document (or ERD) corresponding to the query to confirm whether to perform and / or required item check result recording document, characterized in that for the data managed through the data quality management framework shown in FIG. And a fact checking item list and / or a fact checking result recording document corresponding to a query for checking whether there is a method for confirming the authenticity, and managed through the data quality management framework shown in FIG. Respond to queries to ensure that the data being compliant Domain standard definition document and / or code standard definition document (or code table) and / or regulation related document and / or organization chart, and the like, and are managed through the data quality management framework shown in FIG. And a design document corresponding to a query for checking whether or not to define an association of attribute values with respect to the data.

According to an exemplary embodiment of the present invention, the second level accuracy quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more second level accuracy quality evaluation information. It is preferable to comprise a.

When all of the second level accuracy quality verification information is input (or selected), the information verification means 740 provides the second level accuracy quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of at least one output corresponding to the at least one second level accuracy quality evaluation information corresponds to the second level accuracy quality verification information. (1160).

If the overall positive response to the second level of accuracy quality verification information is not verified (eg, if the validity of at least one or more deliverables corresponding to the at least one second level of accuracy quality assessment information is not verified) (1165), The evaluation module checks the accuracy quality control maturity level of the data quality evaluation target as a first step (1130), and links the first level accuracy quality control maturity information of the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (1135).

On the other hand, if the overall positive response to the second-level accuracy quality evaluation is confirmed (eg, when validity of all the outputs corresponding to all the second-level accuracy quality evaluation information is confirmed) (1165), the evaluation module performs the third step. Accuracy Quality Assessment The process of evaluating maturity.

FIG. 12 is a diagram illustrating a process of evaluating third-level accuracy quality evaluation maturity according to an embodiment of the present invention.

In more detail, FIG. 12 illustrates an accuracy quality evaluation module 700 and an information input means 735 corresponding to at least one data quality management entity and the accuracy quality evaluation entity in the accuracy quality management maturity evaluation system shown in FIG. In the process of the information verification means 740 corresponding to the step of evaluating the third level accuracy quality assessment maturity for the data managed by the data quality management framework shown in Figure 1, the present invention belongs to Those skilled in the art will be able to infer various implementation methods for evaluating accuracy quality assessment maturity for evaluating accuracy quality assessment maturity by referring to and / or modifying the drawing 12, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. It does not.

In the following figure 12, the accuracy quality evaluation module 700 on the accuracy quality management maturity evaluation system shown in FIG. 9 is referred to as " evaluation module "

Referring to FIG. 12, an evaluation module on the accuracy quality control maturity evaluation system illustrated in FIG. 9 includes a third level accuracy including at least one third level accuracy quality evaluation query for evaluating the third level accuracy quality evaluation maturity. A quality assessment interface is generated (or extracted) 1200 and the information input means 735 is provided to the information input means 735 via a predetermined interface means (1205).

According to an embodiment of the present invention, the at least one third level accuracy quality evaluation query included in the third level accuracy quality evaluation interface is an error source for data managed through the data quality management framework shown in FIG. It is characterized in that it comprises a query for checking whether the tracking and the response is possible, and whether to perform the data owner accountability managed through the data quality management framework shown in FIG.

Thereafter, the information input means 735 inputs (or selects) at least one or more third level accuracy quality evaluation information corresponding to at least one or more third level accuracy quality evaluation queries through the third level accuracy quality evaluation interface. (1210).

According to the exemplary embodiment of the present invention, the third level accuracy quality evaluation information may include one of a positive response and a negative response to the third level accuracy quality evaluation query.

When all of the third level accuracy quality evaluation information corresponding to the third level accuracy quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the evaluation module to the evaluation module through the interface means. In operation 1220, the processor may provide the third stage accuracy quality evaluation information. In response, the evaluation module determines whether the overall positive response to the third stage accuracy quality evaluation information is determined (1220).

If the overall positive response to the third-level accuracy quality assessment information is not verified (or at least one negative response is confirmed) (1225), the evaluation module determines the accuracy quality control maturity level for the data quality assessment target. In step 2230, the second step accuracy quality management maturity information for the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (1235).

On the other hand, if the overall positive response to the third-level accuracy quality evaluation is confirmed (1225), the evaluation module includes at least one corresponding to at least one or more third-level accuracy quality verification information for evaluating the third-level accuracy quality verification maturity. Generating (or extracting) a third level accuracy quality verification interface for checking the validity of the output and inputting (or selecting) the third level accuracy quality verification information corresponding thereto (1240), and through a predetermined interface means. In operation 1245, the information verifying means 740 provides the third level accuracy quality verification interface.

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the third level of accuracy quality verification information, and then at least corresponding to the validation result through the third level of accuracy quality verification interface. Input (or select) one or more third level accuracy quality verification information (1250).

According to an embodiment of the present invention, the at least one output corresponding to the third level of accuracy quality evaluation information may be tracked and responded to the error date for the data managed through the data quality management framework shown in FIG. And a document corresponding to an error corresponding to a query for checking whether it is possible, and a regulatory document corresponding to a query for checking whether a data owner responsibility system is managed through the data quality management framework shown in FIG. And / or a statement of requirements and / or documentation of inspection results.

According to an embodiment of the present invention, the third level accuracy quality verification information may be a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to the at least one third level accuracy quality evaluation information. It is preferable to comprise a.

When all of the third level accuracy quality verification information is input (or selected), the information verification means 740 provides the third level accuracy quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of at least one output corresponding to at least one third level accuracy quality evaluation information corresponds to the third level accuracy quality verification information. (1260).

If the overall positive response to the third level of accuracy quality verification information is not verified (eg, if the validity of at least one or more products corresponding to the at least one third level of accuracy quality assessment information is not verified) (1265), The evaluation module checks the accuracy quality management maturity level of the data quality evaluation target in a second step (1230), and links the second level accuracy quality management maturity information of the data quality evaluation target with the data quality evaluation target information. The processing is performed to store in a predetermined storage medium 730 (1235).

On the other hand, if the overall positive response to the third-level accuracy quality assessment is confirmed (eg, when validity of all the outputs corresponding to all the third-level accuracy quality assessment information is confirmed) (1265), the evaluation module performs the fourth stage. Accuracy Quality Assessment The process of evaluating maturity.

FIG. 13 is a diagram illustrating a process of evaluating a fourth level accuracy quality evaluation maturity according to an embodiment of the present invention.

In more detail, FIG. 13 illustrates an accuracy quality assessment module 700, an information input means 735 corresponding to at least one data quality management entity, and the accuracy quality assessment entity in the accuracy quality management maturity evaluation system shown in FIG. The information verification means corresponding to the step 740 is a process for evaluating the fourth level accuracy quality evaluation maturity for the data managed by the data quality management framework shown in Figure 1 in connection with each other, Those skilled in the art will be able to infer various implementation methods for evaluating the accuracy quality assessment maturity for evaluating the accuracy quality assessment maturity by referring to and / or modifying the drawing 13, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. It does not.

Hereinafter, in FIG. 13, the accuracy quality evaluation module 700 on the accuracy quality management maturity evaluation system shown in FIG. 9 is referred to as an "evaluation module" for convenience.

Referring to FIG. 13, the evaluation module on the accuracy quality control maturity evaluation system shown in FIG. 9 includes a fourth level accuracy including at least one fourth level accuracy quality evaluation query for evaluating the fourth level accuracy quality evaluation maturity. A quality evaluation interface is generated (or extracted) (1300), and the fourth step accuracy quality evaluation interface is provided (1305) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one fourth level accuracy quality evaluation query included in the fourth level accuracy quality evaluation interface is an accuracy measure index for data managed through the data quality management framework shown in FIG. A query for checking whether the program is developed and evaluated, a query for checking whether a knowledge tracking for data error resolution is managed through the data quality management framework shown in FIG. 1, and the data quality management frame shown in FIG. It is characterized in that it comprises a query to check whether the performance management of the data owner managed through the work.

Thereafter, the information input means 735 inputs (or selects) at least one or more fourth step accuracy quality evaluation information corresponding to at least one or more fourth step accuracy quality evaluation queries through the fourth step accuracy quality evaluation interface. (1310).

According to an exemplary embodiment of the present invention, the fourth level accuracy quality evaluation information may include one of a positive response and a negative response to the fourth level accuracy quality evaluation query.

When all the fourth-stage accuracy quality evaluation information corresponding to the fourth-stage accuracy quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 1320, the processor may provide the fourth level accuracy quality evaluation information, and in response, the evaluation module may check whether the overall positive response to the fourth level accuracy quality evaluation information is determined (1320).

If the overall positive response to the fourth-level accuracy quality assessment information is not verified (or at least one negative response is confirmed) (1325), the evaluation module determines the accuracy quality control maturity level for the data quality assessment target. In operation 1330, the third-level accuracy quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (1335).

On the other hand, if the overall positive response to the fourth-level accuracy quality evaluation is confirmed (1325), the evaluation module includes at least one corresponding to at least one or more fourth-level accuracy quality verification information for evaluating the fourth-level accuracy quality verification maturity. Generating (or extracting) a fourth level accuracy quality verification interface for verifying validity of the output and inputting (or selecting) corresponding fourth level accuracy quality verification information (1340), and through a predetermined interface means. In operation 1345, the information verifying means 740 provides the fourth level accuracy quality verification interface.

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the fourth level of accuracy quality verification information, and then at least corresponding to the validation result through the fourth level of accuracy quality verification interface. Input (or select) one or more fourth level accuracy quality verification information (1350).

According to an embodiment of the present invention, whether the at least one output corresponding to the fourth level accuracy quality evaluation information develops and evaluates an accuracy measurement index for data managed through the data quality management framework shown in FIG. And a measurement index definition document and / or a measurement result document corresponding to the query to be checked. Is knowledge tracking of data error resolution managed through the data quality management framework shown in FIG. And an error knowledge D / B (or an error response document) corresponding to the query to be checked, and confirms whether performance management of the data owner managed through the data quality management framework shown in FIG. 1 is performed. Owner performance management criteria documents and / or corresponding to queries You the result is characterized in that comprises the article.

According to an embodiment of the present invention, the fourth level accuracy quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more fourth level accuracy quality evaluation information. It is preferable to comprise a.

When all of the fourth level accuracy quality verification information is input (or selected), the information verification means 740 provides the fourth level accuracy quality verification information input (or selected) to the evaluation module through the interface means. In operation 1355, the evaluation module determines whether the overall positive response to the result of validating at least one output corresponding to at least one fourth level accuracy quality evaluation information corresponds to the fourth level accuracy quality verification information. (1360).

If the overall positive response to the fourth level of accuracy quality verification information is not verified (eg, if the validity of at least one or more products corresponding to the at least one fourth level of accuracy quality assessment information is not verified) (1365), The evaluation module checks the accuracy quality control maturity level of the data quality evaluation target in a third step (1330), and links the third level accuracy quality control maturity information of the data quality evaluation target with the data quality evaluation target information. The process then stores the data in a predetermined storage medium 730 (1335).

On the other hand, if the overall positive response to the fourth-level accuracy quality assessment is confirmed (eg, validity of all the outputs corresponding to all the fourth-level accuracy quality assessment information) is determined (1365), the evaluation module performs the fifth stage. Accuracy Quality Assessment The process of evaluating maturity.

14 is a diagram illustrating a process of evaluating the fifth-level accuracy quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 14 illustrates an accuracy quality assessment module 700, an information input means 735 corresponding to at least one data quality management entity, and the accuracy quality assessment entity in the accuracy quality management maturity evaluation system shown in FIG. The process of evaluating the fifth level accuracy quality assessment maturity for the data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 14 to infer various implementation methods for evaluating accuracy quality assessment maturity for evaluating accuracy quality assessment maturity, but the present invention. Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. It does not.

In the following figure 14, the accuracy quality evaluation module 700 on the accuracy quality management maturity evaluation system shown in FIG. 9 is referred to as " evaluation module "

Referring to FIG. 14, the evaluation module on the accuracy quality control maturity evaluation system illustrated in FIG. 9 includes a fifth level accuracy including at least one fifth level accuracy quality evaluation query for evaluating the fifth level accuracy quality evaluation maturity. A quality evaluation interface is generated (or extracted) (1400) and the fifth step accuracy quality evaluation interface is provided (1405) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, at least one or more fifth level accuracy quality evaluation queries included in the fifth level accuracy quality evaluation interface are based on an error for data managed through the data quality management framework shown in FIG. It is characterized by including a query to check whether the cause removal operation.

Thereafter, the information input means 735 inputs (or selects) at least one or more fifth level accuracy quality evaluation information corresponding to at least one or more fifth level accuracy quality evaluation queries through the fifth level accuracy quality evaluation interface. (1410).

According to an embodiment of the present invention, the fifth step accuracy quality evaluation information may include any one of a positive response or a negative response to the fifth step accuracy quality evaluation query.

When all the fifth-level accuracy quality evaluation information corresponding to the fifth-level accuracy quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the evaluation module to the evaluation module through the interface means. In operation 1420, the processor may provide the fifth level accuracy quality evaluation information, and in response, the evaluation module may check whether the overall positive response to the fifth level accuracy quality evaluation information is determined.

If the overall positive response to the fifth-level accuracy quality assessment information is not verified (or at least one negative response is confirmed) (1425), the evaluation module determines the accuracy quality control maturity level for the data quality assessment target. In operation 4430, the controller determines the fourth quality control quality control maturity information for the data quality evaluation target and the data quality evaluation target information and stores the data quality evaluation target information in a predetermined storage medium 730 in operation 1435.

On the other hand, if the overall positive response to the fifth-level accuracy quality evaluation is confirmed (1425), the evaluation module includes at least one corresponding to at least one fifth-level accuracy quality verification information for evaluating the fifth-level accuracy quality verification maturity. Generating (or extracting) a fifth level accuracy quality verification interface for checking the validity of the output and inputting (or selecting) the fifth level accuracy quality verification information corresponding thereto (1440), and through a predetermined interface means. The information verification means 740 provides the fifth step accuracy quality verification interface (1445).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the fifth level of accuracy quality verification information, and then at least corresponding to the validation result through the fifth level of accuracy quality verification interface. Input (or select) one or more fifth level accuracy quality verification information (1450).

According to an embodiment of the present invention, whether the at least one output corresponding to the fifth level of accuracy quality evaluation information performs an error root cause removal operation for data managed through the data quality management framework shown in FIG. And an error cause elimination document and / or a process improvement document corresponding to the query to be confirmed.

According to an exemplary embodiment of the present invention, the fifth level accuracy quality verification information may be a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more fifth level accuracy quality evaluation information. It is preferable to comprise a.

When all of the fifth-step accuracy quality verification information is input (or selected), the information verification means 740 provides the fifth-step accuracy quality verification information input (or selected) to the evaluation module through the interface means. In operation 1455, the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one fifth level accuracy quality evaluation information corresponds to the fifth level accuracy quality verification information. (1460).

If the overall positive response to the fifth level of accuracy quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one or more fifth level of accuracy quality assessment information is not verified) (1465), The evaluation module checks the accuracy quality control maturity level of the data quality evaluation target in a fourth step (1430), and links the fourth level accuracy quality control maturity information of the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (1435).

On the other hand, if a total positive response to the fifth-level accuracy quality evaluation is confirmed (eg, validity of all outputs corresponding to all fifth-level accuracy quality evaluation information) (1465), the evaluation module determines the data quality. The accuracy quality control maturity level of the evaluation target is checked in a fifth step (1470), and the fifth level accuracy quality control maturity information of the data quality evaluation target is linked to the data quality evaluation target information to determine a predetermined storage medium ( 730) (1475).

Figure 15 illustrates the interrelationships between data quality management processes for evaluating consistency quality management maturity for data quality management in accordance with an embodiment of the present invention.

More specifically, FIG. 15 shows data quality management for evaluating the consistency maturity based on the data quality management framework shown in FIG. 1 according to the consistency data quality criteria shown in FIG. A diagram illustrating the interrelationship between processes.

Among the data quality criteria shown in FIG. 3, the consistency is a quality criterion that indicates whether or not uniformity is maintained between the same data, wherein the same data always exists in different places (consistency), and the same term is used. You need to make sure that you use the same definition (consistency), and that the data exists according to the defined rules (integrity).

Referring to FIG. 15, of the data quality management process shown in FIG. 6, the data quality management process for evaluating the consistency maturity according to the consistency data quality criteria shown in FIG. 3 includes data structure management (duplicate management / reference integrity management). ), Data flow management (flow metabolic management), data standard management (term standard management / domain, code standard management), and data ownership management.

Here, data structure management (duplicate management / referential integrity management) is the process of managing the definition and change of data model and all the management activities for tables and records based on the defined principles and standards, and data flow management (flow metabolic management). Is the process of metabolizing data from source and target through verification of the data flow from source to target. Data Standard Management (Term Standard Management / Domain, Code Standard Management) The process of managing the entire process of control. Finally, data ownership management is the process of assigning and evaluating responsibilities and roles for all data in security, business rules, data flows, standards, and databases.

According to the embodiment of the present invention, the consistency quality control maturity is defined based on the data quality management maturity illustrated in FIG. 5 as follows.

The first stage of consistency quality management maturity is an introduction stage, in which documents for tables and columns including definition of data redundancy and relationship definition between data exist and periodically verify the relationship between duplicate columns and defined data. . There is a document that defines the data flow between the program on the database and the structure to be mapped. The mapping logic is verified by using a separate program, and a result list of errors is managed.

The second level of consistency quality management maturity is a formalization step, and there are documents defining transcription terms, domains, and codes, and definitions of duplicate data and relationship definitions between data are specified. In addition, there is a standardized method (ERD, etc.) to clearly understand the relationship between tables and columns, and it is a step that periodically establishes a procedure for confirming compliance with a structure using standards. Data consistency is ensured by using a trigger or a program, and the data flow is performed in a batch by a tool or a standardized method. When checking mapping logic, checking layout changes, and performing a flow There is a method and procedure for error control that occurs when checking the operation status and monitoring the flow.

The third step of the consistency quality management maturity is the integration step, where the tables and programs defined in the standard can be checked, and when the standard is changed, the impact analysis can be performed and the non-standard details can be inquired. There is a definition of redundancy and the relationship between data and formal methods (such as ERD) to maintain a clear understanding of the relationship between tables and columns. As a result of the verification of the standards at the company-wide level, the personnel responsible for various errors are traced to conduct cause analysis, and the error improvement status of the relevant personnel is systematically managed by using a document or a database. From a company-wide perspective, data validation, error tracking, and processing status are qualitatively managed.

The fourth step of the consistency quality control maturity level is a quantification step, which gives a quantitative goal for error analysis of verification of a standardized method (ERD, etc.) that can clearly identify the relationship between the standard definition and the standard compliance, and the table and column. Periodic performance measurements are made using measurement indicators to knowledge error results and adjust roles and responsibilities as needed. From a company-wide perspective, quality control progresses from qualitative management to quantitative management and quality performance is clearly measured and knowledgeable.

The fifth step of the consistency quality control maturity level is an optimization step, which is a standardized method for clearly identifying the relationship between standards definition, standards compliance, and tables and columns that are managed by knowledge (eg, shared throughout the enterprise). It analyzes the error patterns of the verification, removes the root cause, and performs improvement activities on the related processes to record and manage continuously. It is possible to flexibly cope with future environment as well as optimization of current quality control.

The information checking unit 1615 is a diagram illustrating a configuration of a consistency quality management maturity evaluation system for evaluating a consistency quality evaluation maturity level according to an embodiment of the present invention.

More specifically, FIG. 16 is managed on a company-wide basis based on the data quality management framework shown in FIG. 1 according to the coherence data quality criteria shown in FIG. 3 and the coherence quality management process shown in FIG. The present invention relates to a system configuration for evaluating consistency quality control maturity for existing data. For those skilled in the art to which the present invention pertains, reference and / or modifications to FIG. Various implementation methods for constructing a consistency quality management maturity evaluation system may be inferred, but the present invention includes all the implementation methods inferred above and is not limited to the implementation method shown in FIG.

Hereinafter, on the consistency quality management maturity evaluation system shown in FIG. 16, a consistency quality evaluation interface for each maturity level is provided to information input means 735 corresponding to a quality control agent on the data quality management system shown in FIG. 2. Correspondingly receiving the consistency quality evaluation information for each maturity level from the information input means 735, and providing a consistency quality verification interface for each maturity level to information verification means 740 for verifying the consistency quality evaluation information for each maturity level. After receiving the consistency quality verification information for each maturity level from the information verifying means 740, and compares and authenticates the consistency quality evaluation information for each maturity level and the consistency quality verification information for each maturity level, the data quality management shown in FIG. Based on the framework The principal for assessing the maturity of consistent quality control on the data being managed privately called "consistent quality evaluation module (705)."

Referring to FIG. 16 according to an embodiment of the present invention, the consistency quality control maturity evaluation system for evaluating the consistency quality assessment maturity corresponds to at least one data quality management entity shown in FIG. Information input means 735 for inputting consistency quality assessment information corresponding to at least one maturity stage corresponding to the above-described maturity stages of the maturity level, corresponding to the data quality subject, and inputted through the information input means 735. Information verification means 740 for checking the output corresponding to the consistency quality evaluation information for each maturity level and inputting consistency quality verification information for at least one maturity level corresponding to the consistency quality verification interface for at least one maturity level, and the information input means. Last name entered via 735 Consistency of the data managed throughout the enterprise based on the data quality management framework shown in FIG. 1 by comparing the consistency quality evaluation information of each maturity level and the consistency quality verification information of each maturity level inputted through the information verification means 740. And a consistency quality assessment module 705 for evaluating the quality management maturity level. The information input means 735, the information verification means 740, and the consistency quality assessment module 705 use predetermined interface means. It is characterized by interworking through.

When the consistency quality evaluation procedure is performed online according to an embodiment of the present invention, the information input unit 735 may be a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (eg, Asymmetric Digital). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the consistency quality assessment module 705 via a Subscriber Line / Very High-Data Rate Digital Subscriber Line (VDSL) and / or a cable communications network A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network The information input means 735 outputs at least one maturity level consistency quality evaluation interface provided by the consistency quality evaluation module 705, and at least one through the maturity level consistency quality evaluation interface. It is preferable that a function configuration (eg, a browser program and a communication function) is provided to input and / or select the consistency quality evaluation information according to the above maturity levels and provide the same to the consistency quality evaluation module 705.

Those skilled in the art to which the present invention pertains can easily infer the characteristics of the information input means 735 corresponding to at least one or more wired terminals and / or wireless terminals. Is omitted for convenience.

When the information input means 735 is a wired terminal according to an embodiment of the present invention, the interface means includes the TCP / IP-based wired network, and the information input means 735 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another exemplary embodiment of the present invention, when the consistency quality evaluation procedure is performed offline, the information input means 735 corresponds to the consistency quality evaluation logic provided with the consistency quality evaluation module 705. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the consistency quality assessment procedure is performed online according to an embodiment of the present invention, the consistency quality assessment module 705 provides the web interface corresponding to the information input means 735 and the interface means. And an interface unit 1600 for connecting and managing the information input means 735 and a predetermined communication channel through an interface means, whereby the coherence quality evaluation module 705 provides the information input means. 735 and a web server that is communicatively connected via wired and / or wireless network.

Here, when the information input means 735 is a wired terminal to which a communication channel is connected through a TCP / IP-based wired network, the interface unit 1600 may connect the information input means 735 with Hyper-Text Transfer. A predetermined communication channel is connected based on a protocol, and a consistency quality evaluation interface and / or information for each stage of maturity in the form of a Hyper-Text Markup Language (HTML) compatible document is provided to the information input unit 735 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen and receiving and processing consistency quality assessment information inputted (or selected) through the maturity stages of consistency quality assessment interface from the information input unit 735.

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through a CDMA based wireless network, the interface unit 1600 may include the information input means 735 and a wireless application protocol (WAP) and / or the like. Or connecting a predetermined communication channel based on a mobile explorer (ME) protocol, and evaluating consistency quality according to maturity level in the form of a Wireless Markup Language (WML) and / or HTML compatible document to the information input means 735 through the communication channel. It is preferable to perform a function of transmitting and outputting an interface and / or an information providing screen and receiving and processing consistency quality evaluation information corresponding to the maturity level consistency level evaluation interface corresponding to the maturity level level from the information input means 735. .

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 1600 corresponds to the information input means 735 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, and transmit and output a consistent quality evaluation interface and / or an information providing screen for each predetermined maturity level to the information input means 735 through the communication channel, and output the information input means. And receiving and processing a predetermined maturity level consistency quality information corresponding to the maturity level consistency quality evaluation interface from 735, and / or the information input means 735 is based on DataTAC / Mobitex. When the communication channel is connected to the wireless terminal through a wireless network, the interface unit 1600 is the information A coherent quality evaluation interface connected to an input means 735 and a predetermined communication channel based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and to the information input means 735 through a predetermined maturity level through the communication channel; Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing consistency quality evaluation information corresponding to the maturity level for each maturity level from the information input means 735.

According to another exemplary embodiment of the present invention, when the consistency quality evaluation process is performed offline, the consistency quality evaluation module 705 may perform enterprise-wide data quality evaluation based on the data quality management framework shown in FIG. It is desirable to include consistent quality assessment logic provided in the data quality assessment institution in response to the business logic.

Referring to FIG. 16, the consistency quality evaluation module 705 interoperates with the interface unit 1600 to input (or select) and transmit consistency quality evaluation information according to a predetermined maturity level by the information input means 735. An interface providing unit 1605 for generating (or extracting) and providing a consistency quality evaluation interface for each predetermined maturity level, and the information input unit 735 provides the consistency quality evaluation interface for each maturity level in association with the interface unit 1600. And an information receiver 1610 that receives consistency quality evaluation information for each stage of maturity transmitted through input (or selection).

The interface providing unit 1605 may input consistency quality evaluation information according to a predetermined maturity level (or a browser program provided in the information input unit 735) corresponding to the functional configuration provided in the information input unit 735 (eg, a browser program provided in the information input unit 735). Select) to generate a consistency quality assessment interface for each predetermined maturity level that can be transmitted to the consistency quality assessment module 705 via the interface means, and / or to extract from a predetermined database, and to interwork with the interface unit 1600. And provide the generated (or extracted) consistency quality assessment interface to the information input means 735 through the interface means.

According to an embodiment of the present invention, the consistency quality assessment interface for each maturity stage may input (or select) at least one consistency quality assessment query corresponding to the maturity stage and consistency quality assessment information corresponding to each consistency quality assessment query. It is preferable that the user 120 comprises an interface.

Here, the first step consistency quality evaluation query is managed through a query for checking whether duplication of data managed through the data quality management framework shown in FIG. 1 and the data quality management framework shown in FIG. And a query for confirming whether or not to clarify the data identifier, and a query for checking whether the data flow managed through the data quality management framework shown in FIG. 1 is identified.

In addition, the second step consistency quality evaluation query is a query for confirming whether verification and metabolism of duplicate data among data managed through the data quality management framework shown in FIG. 1 is performed, and the data shown in FIG. A query for confirming that referential integrity for data managed through the quality management framework is applied; a query for confirming that data managed through the data quality management framework shown in FIG. Characterized in that it comprises a query to confirm whether to verify the data flow managed through the data quality management framework shown in.

In addition, the third step consistency quality evaluation query is a query for confirming whether duplicate data at the enterprise level for data managed through the data quality management framework shown in FIG. 1 is identified, and the data quality shown in FIG. Inquiry to confirm whether the enterprise-wide data flow for the data managed through the management framework is grasped, and query to confirm that error cause tracking and response to the data managed through the data quality management framework shown in FIG. 1 is possible. And a query for confirming that standard data connectivity for data managed through the data quality management framework shown in FIG. 1 can be grasped, and data managed through the data quality management framework shown in FIG. Including queries to ensure centralized management It characterized.

In addition, the fourth step consistency quality evaluation query is a query for confirming whether knowledge of error solving of data managed through the data quality management framework shown in FIG. 1 is accumulated, and the data quality management shown in FIG. Characterized by including a query to determine whether to measure the performance of each owner for the data managed through the framework.

In addition, the fifth step consistency quality evaluation query is a query for confirming whether to remove the root cause of duplicate data among the data managed through the data quality management framework shown in FIG. 1, and the data quality shown in FIG. And a query for checking whether the referential integrity for the data managed through the management framework is optimized, and a query for checking whether the data flow metabolism managed through the data quality management framework shown in FIG. 1 is optimized. It is done.

Subsequently, the information input unit 735 inputs (or selects) predetermined maturity level-level consistency quality evaluation information based on the maturity level-level consistency quality evaluation interface, and inputs the input (or selected) consistency quality evaluation information. And transmits to the consistency quality assessment module 705 via the interface means.

The information receiving unit 1610 inputs (or selects) predetermined quality level information for each level of maturity level through the consistency level evaluation level interface of the maturity level in the information input means 735 and transmits the information through the interface means. In connection with the 1600, it is characterized in that for receiving the consistency quality evaluation information for each stage of maturity.

When the consistency quality evaluation procedure is performed online according to an embodiment of the present invention, the information verifying means 740 may be a wired network (eg, Asymmetric Digital ADSL) based on Transmission Control Protocol / Internet Protocol (TCP / IP). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the consistency quality assessment module 705 via a Subscriber Line / Very High-Data Rate Digital Subscriber Line (VDSL) and / or a cable communications network A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network The information verification means 740 outputs at least one maturity level consistency quality verification interface provided by the consistency quality evaluation module 705 and at least one through the maturity level consistency quality verification interface. It is preferable that a function configuration (eg, a browser program and a communication function) is provided to input and / or select the consistency quality verification information according to the above maturity levels and provide the same to the consistency quality evaluation module 705.

Those skilled in the art to which the present invention pertains can easily infer the features of the information verification means 740 corresponding to at least one or more wired terminals and / or wireless terminals, Is omitted for convenience.

When the information verifying means 740 is a wired terminal, the interface means includes the TCP / IP based wired network, and the information verifying means 740 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another exemplary embodiment of the present invention, when the consistency quality evaluation process is performed offline, the information verifying means 740 corresponds to the consistency quality evaluation logic provided with the consistency quality evaluation module 705. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the consistency quality assessment procedure is performed online according to an embodiment of the present invention, the consistency quality assessment module 705 provides the web interface corresponding to the information verifying means 740 and the interface means. And an interface unit 1600 for connecting and managing the information verifying means 740 and a predetermined communication channel through an interface means, whereby the consistency quality evaluation module 705 performs the information verifying means. 740 and a web server that are in communication with each other via a wired and / or wireless network.

Here, when the information verifying means 740 is a wired terminal to which a communication channel is connected through a TCP / IP-based wired network, the interface unit 1600 may connect the information verifying means 740 and HTTP (Hyper-Text Transfer). A predetermined communication channel is connected based on a protocol, and a consistency quality verification interface and / or information for each stage of maturity in the form of a Hyper-Text Markup Language (HTML) compatible document is provided to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen and receiving and processing consistency quality verification information, which is input (or selected), from the information verification means 740 through the consistency quality verification interface for each maturity level.

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through a CDMA based wireless network, the interface unit 1600 may include the information verifying means 740 and a wireless application protocol (WAP) and / or the like. Or connecting a predetermined communication channel based on the ME (Mobile Explorer) protocol, and verifying the consistency quality according to the maturity level in the form of Wireless Markup Language (WML) and / or HTML compatible document to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting an interface and / or information providing screen, and receiving and processing consistency quality verification information corresponding to the maturity level consistency level verification interface corresponding to the maturity level phases from the information verifying means 740. .

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 1600 corresponds to the information verifying means 740 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output a consistency quality verification interface and / or an information providing screen for each predetermined maturity level to the information verification means 740 via the communication channel, and output the information verification means. It is preferable to perform a function of receiving and processing the consistency quality verification information for each maturity level corresponding to the consistency quality verification interface for each maturity level from 740, and / or the information verifying means 740 is based on DataTAC / Mobitex. When the communication channel is connected to the wireless terminal through a wireless network, the interface unit 1600 is the information A predetermined communication channel is connected to the verification means 740 based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and to the information verification means 740 via the communication channel. Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing consistency quality verification information corresponding to the maturity level consistency level verification interface from the information verifying means 740.

According to another exemplary embodiment of the present invention, when the consistency quality evaluation process is performed offline, the consistency quality evaluation module 705 may perform enterprise-wide data quality evaluation based on the data quality management framework shown in FIG. It is desirable to include consistent quality assessment logic provided in the data quality assessment institution in response to the business logic.

Referring to FIG. 16, when the consistency quality evaluation information for each maturity level is provided from the information input means 735, the consistency quality evaluation module 705 interoperates with the interface unit 1600 to verify the information verification means 740. An interface provider 1605 for generating (or extracting) a consistency quality verification interface for each predetermined maturity level and inputting (or selecting) and transmitting consistency quality verification information for each maturity level, and the interface unit 1600. And an information receiver 1610 which receives the consistency quality verification information for each maturity level inputted (or selected) and transmitted by the information verification means 740 through the consistency quality verification interface for each maturity level. .

The interface providing unit 1605 may input consistency quality verification information according to a predetermined maturity level in response to a functional configuration (eg, a browser program provided in the information verifying means 740) provided in the information verifying means 740 (or And generate a consistency quality verification interface for each predetermined maturity level that can be transmitted to the consistency quality evaluation module 705 via the interface means, and / or extract from a predetermined database, and interwork with the interface unit 1600. By providing the generated (or extracted) consistency quality verification interface for each stage of maturity to the information verification means 740 through the interface means.

According to an embodiment of the present invention, the consistency quality verification interface according to the maturity level may include a predetermined examiner evaluating the data quality management maturity level for at least one output corresponding to at least one consistency quality evaluation information corresponding to the maturity level. It is preferred to include a user 120 interface for validating and inputting (or selecting) corresponding consistency quality verification information.

Here, the at least one output corresponding to the first stage consistency quality evaluation information is a duplicate data list (or ERD) corresponding to a query for confirming whether or not duplication of data managed through the data quality management framework shown in FIG. 1 is identified. And an identifier definition document corresponding to a query for confirming whether or not the data identifier managed through the data quality management framework shown in FIG. 1 is clarified. And a source-target mapping definition corresponding to a query for checking whether the data flow managed through the data quality management framework shown in FIG. 1 is identified.

In addition, the at least one output corresponding to the second stage coherency quality assessment information corresponds to a query to confirm whether verification and metabolism of duplicate data among data managed through the data quality management framework shown in FIG. 1 is performed. And a duplicate data identification document and / or a duplicate data metabolism result document, and responds to a query for checking whether reference integrity for data managed through the data quality management framework shown in FIG. 1 is applied. ERD (or referential integrity definition document), characterized in that it comprises a code standard definition document corresponding to a query for confirming that the data managed through the data quality management framework shown in FIG. Or code table) and / or the term standard document and / or Or source-target verification scenarios and / or corresponding to a query for verifying that the data flow includes a regulation-related document and / or an organization chart, and verifies data flow managed through the data quality management framework shown in FIG. Or source-target verification result document.

In addition, the at least one output corresponding to the third stage consistency quality evaluation information may correspond to a query for confirming whether duplicate data at an enterprise level for data managed through the data quality management framework shown in FIG. 1 is identified. And a duplicate data processing plan document (or a conceptual model ERD) and / or a duplicate data consistency verification result document, and the enterprise-wide data on the data managed through the data quality management framework shown in FIG. And a flow processing reference document corresponding to a query for confirming that the data flow is identified, and checking whether error cause tracking and response to data managed through the data quality management framework shown in FIG. 1 is possible. Contains the error response document corresponding to the query And a linkage identification document corresponding to a query for checking whether standard data linkage of the data managed through the data quality management framework shown in FIG. 1 can be identified. And a rule (or check result document) corresponding to a query for confirming whether the data managed through the data quality management framework shown in FIG. 1 is managed by the owner.

In addition, the at least one output corresponding to the fourth-stage consistency quality evaluation information is an error corresponding to a query for confirming whether knowledge of error solving of data managed through the data quality management framework shown in FIG. 1 is accumulated. It includes a knowledge D / B (or error response document) and / or quality measurement indicators (or measurement result arrangement document) and / or error response document, the data quality management framework shown in Figure 1 And an owner evaluation result document corresponding to a query for checking whether the performance of each owner of the data managed through the owner is measured.

In addition, the at least one output corresponding to the fifth stage of consistency quality evaluation information may correspond to a query for checking whether to remove a root cause of duplicate data among data managed through the data quality management framework shown in FIG. And an error cause elimination document corresponding to a query for checking whether reference integrity of data managed through the data quality management framework shown in FIG. 1 is optimized. It is characterized by.

Thereafter, the information verifying means 740 inputs (or selects) consistency quality verification information for each maturity level based on the consistency quality verification interface for each maturity level, and inputs the consistency quality verification information for the input (or selected) maturity level. And transmits to the consistency quality assessment module 705 via the interface means.

The information receiving unit 1610 inputs (or selects) predetermined quality assurance information for each maturity level through the consistency quality verification interface of the maturity level in the information verification means 740 and transmits it through the interface means. In connection with 1600, the consistency quality verification information for each stage of maturity may be received.

Referring to FIG. 16, if the consistency quality evaluation module 705 is provided with consistency quality evaluation information for each maturity level from the information input unit 735 and consistency quality verification information for each maturity level is provided from the information verification unit 740. And an information checking unit 1615 for comparing the consistency quality evaluation information for each maturity level with the consistency quality verification information for each maturity level, and confirming the consistency maturity information for the data quality assessment target, and the identified consistency maturity information and data quality assessment target. And an information storage unit 1620 for linking and storing the information in a predetermined storage medium 730.

The information checking unit 1615 responds to all of the positive quality responses from the information input unit 735 to the consistency quality evaluation information of each maturity level in response to the consistency quality evaluation query of at least one maturity level included in the consistency quality evaluation interface of each maturity level. Response) is included.

If the consistency quality assessment information for each maturity stage includes the entire positive response to the consistency quality assessment query for at least one maturity stage, the information checking unit 1615 determines the consistency quality verification information for each stage of maturity from the information verifying means 740. And whether a full positive response is included in at least one or more maturity level consistency quality verification queries included in the maturity level consistency quality verification interface, and provided from the information input means 735. The maturity level consistency information of the maturity level includes at least one overall positive response to the consistency level quality level query, and at least one of the maturity level level consistency information provided from the information verification means 740. In the case that contains the total positive response to the maturity stage consistency Quality query, the information checking unit 1615 has determined that the data quality target is reached in the consistent quality control stage of maturity.

On the other hand, the consistency quality assessment information of the maturity level includes at least one negative response, and / or the consistency quality assessment information of the maturity level includes the overall positive response to the consistency quality assessment query. When at least one negative response is included in the provided consistency quality verification information according to the maturity level, the information checking unit 1615 indicates that the data quality evaluation target has not reached the corresponding consistency quality management maturity level. Check it.

For example, when the first step consistency quality evaluation information includes the entire positive response to the at least one first step consistency quality evaluation query, the information checking unit 1615 may perform the first step from the information verifying means 740. And checking whether the consistency quality verification information includes all positive responses for at least one first stage consistency quality verification query included in the first stage consistency quality verification interface. The first stage consistency quality assessment information provided from the means 735 includes the entire positive response to the at least one first stage consistency quality assessment query, and the first stage consistency quality verification information provided from the information verifying means 740. Responding to the at least one first stage consistency quality assessment information in When the total positive response to at least one output validation is included, the information checking unit 1615 determines that the data quality evaluation target has reached the corresponding consistency quality management maturity introduction step.

However, the first stage consistency quality assessment information includes at least one or more negative responses, and / or the first stage consistency quality assessment information includes at least one overall positive for the first stage consistency quality assessment query. If a response is included, but the at least one negative response is included in the first step consistency quality verification information provided, the information checking unit 1615 may introduce the corresponding consistency quality management maturity to the data quality evaluation target. Confirm that the step has not been reached.

Alternatively, when the second level consistency quality evaluation information includes the entire positive response to the at least one second level consistency quality evaluation query, the information checking unit 1615 may perform the second step from the information verifying means 740. And checking whether the consistency quality verification information includes an all positive response to at least one second stage consistency quality verification query included in the second stage consistency quality verification interface. The second stage consistency quality assessment information provided from the means 735 includes the entire positive response to the at least one second stage consistency quality assessment query, and the second stage consistency quality verification information provided from the information verifying means 740. Corresponding to the at least one second stage consistency quality assessment information in When the entire positive response to at least one output validation is included, the information checking unit 1615 determines that the data quality evaluation target has reached the corresponding consistency quality management maturity formalization step.

However, the second stage consistency quality assessment information includes at least one negative response, and / or the overall positive for at least one second stage consistency quality assessment query in the second stage consistency quality assessment information. If a response is included, but the at least one negative response is included in the provided second step consistency quality verification information, the information checking unit 1615 determines that the data quality evaluation target is the corresponding consistency quality management maturity level. Confirm that the step has not been reached.

Alternatively, when the third stage consistency quality evaluation information includes the entire positive response to the at least one third stage consistency quality evaluation query, the information checking unit 1615 performs a third step from the information verifying means 740. And checking whether the consistency quality verification information includes an all positive response to at least one third stage consistency quality verification query included in the third stage consistency quality verification interface. The third stage consistency quality assessment information provided from the means 735 includes the entire positive response to at least one third stage consistency quality assessment query, and the third stage consistency quality verification information provided from the information verifying means 740. Corresponding to at least one third level consistency quality assessment information at When a total positive response to at least one output validation is included, the information checking unit 1615 determines that the data quality evaluation target has reached the corresponding consistency quality management maturity integration step.

However, the third stage consistency quality assessment information includes at least one negative response, and / or the overall positive for at least one third stage consistency quality assessment query in the third stage consistency quality assessment information. If a response is included, but the at least one negative response is included in the third level consistency quality verification information provided, the information checking unit 1615 integrates the data quality evaluation target with the corresponding consistency quality management maturity. Confirm that the step has not been reached.

Alternatively, when the fourth level consistency quality evaluation information includes the entire positive response to the at least one fourth level consistency quality evaluation query, the information checking unit 1615 may perform the fourth step from the information verifying means 740. And checking whether the consistency quality verification information includes an all positive response to at least one fourth stage consistency quality verification query included in the fourth stage consistency quality verification interface. The fourth stage consistency quality assessment information provided from the means 735 includes the entire positive response to at least one fourth stage consistency quality assessment query, and the fourth stage consistency quality verification information provided from the information verifying means 740. Corresponding to the at least one fourth step consistency quality assessment information to When a total positive response to at least one output validation is included, the information checking unit 1615 determines that the data quality evaluation target has reached the corresponding level of maturity quality management maturity.

However, the fourth stage consistency quality assessment information includes at least one or more negative responses, and / or the fourth stage consistency quality assessment information includes at least one overall positive for the fourth stage consistency quality assessment query. If a response is included, but the at least one negative response is included in the provided fourth level consistency quality verification information, the information checking unit 1615 quantifies the consistency quality control maturity of the data quality evaluation target. Confirm that the step has not been reached.

Alternatively, when the fifth level consistency quality evaluation information includes the entire positive response to the at least one fifth level consistency quality evaluation query, the information checking unit 1615 may perform the fifth step from the information verifying means 740. And checking whether the consistency quality verification information includes all positive responses for at least one fifth stage consistency quality verification query included in the fifth stage consistency quality verification interface. The fifth stage consistency quality assessment information provided from the means 735 includes the entire positive response to at least one fifth stage consistency quality assessment query, and the fifth stage consistency quality verification information provided from the information verifying means 740. Corresponding to the at least one fifth step consistency quality assessment information to When a total positive response to at least one output validation is included, the information checking unit 1615 determines that the data quality evaluation target has reached the corresponding consistency quality management maturity optimization step.

However, at least one negative response is included in the fifth level consistency quality information, and / or the overall positive for at least one fifth level consistency quality evaluation query in the fifth level consistency quality evaluation information. If a response is included, but the at least one negative response is included in the provided fifth step consistency quality verification information, the information checking unit 1615 determines that the data quality evaluation target is the corresponding consistency quality management maturity level. Confirm that the step has not been reached.

FIG. 17 is a diagram illustrating a process of evaluating first-level consistency quality evaluation maturity according to an embodiment of the present invention.

In more detail, FIG. 17 illustrates a consistency quality evaluation module 705 on the consistency quality management maturity evaluation system shown in FIG. 16, information input means 735 corresponding to at least one data quality management entity, and the consistency quality assessment entity. The information verification means 740 corresponding to the first step for the process of evaluating the first stage consistency quality evaluation maturity for the data managed by the data quality management framework shown in Figure 1, the present invention Those skilled in the art will be able to infer various implementation methods for evaluating the consistency quality assessment maturity for evaluating the consistency quality assessment maturity by referring to and / or modifying the drawing 17, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

In the following figure 17, the consistency quality evaluation module 705 on the consistency quality management maturity evaluation system shown in FIG. 16 is referred to as " evaluation module " for convenience.

Referring to FIG. 17, an evaluation module on the consistency quality management maturity evaluation system illustrated in FIG. 16 includes a first stage consistency including at least one first stage consistency quality assessment query for evaluating the first stage consistency quality assessment maturity. A quality assessment interface is generated (or extracted) (1700), and the first stage consistency quality assessment interface is provided (1705) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, at least one of the first stage consistency quality assessment queries included in the first stage consistency quality assessment interface is identified by the duplication of data managed through the data quality management framework shown in FIG. A query for confirming whether or not to clarify the data identifier managed through the data quality management framework shown in FIG. 1, and a data flow managed through the data quality management framework shown in FIG. It is characterized by including a query to check whether the.

Thereafter, the information input means 735 inputs (or selects) at least one first step consistency quality evaluation information corresponding to at least one first step consistency quality evaluation query through the first step consistency quality evaluation interface. (1710).

According to an embodiment of the present invention, the first step consistency quality evaluation information may include any one of a positive response or a negative response to the first step consistency quality evaluation query.

When all the first stage consistency quality evaluation information corresponding to the first stage consistency quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the module to the evaluation module through the interface means. The first step consistency quality evaluation information is provided (1715), and in response, the evaluation module checks whether the overall positive response to the first step consistency quality evaluation information (1720).

If the overall positive response to the first stage consistency quality assessment information is not verified (or at least one negative response is identified) (1725), the evaluation module determines the consistency quality control maturity level for the data quality assessment target. In operation 1730, the controller 100 stores the data quality evaluation target information in association with the zero level consistency quality management maturity information of the data quality evaluation target in operation 1735 and stores it in a predetermined storage medium 730 (1735).

On the other hand, if the overall positive response to the first step consistency quality evaluation is confirmed (1725), the evaluation module may include at least one corresponding to at least one first step consistency quality verification information for evaluating the first step consistency quality verification maturity. Generate (or extract) a first step consistency quality verification interface for checking the validity of the above output and input (or selecting) corresponding first step consistency quality verification information (1740), and through a predetermined interface means. The information verification means 740 provides the first step consistency quality verification interface (1745).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the first step consistency quality verification information, and then at least corresponding to the validation result through the first step consistency quality verification interface. Input (or select) one or more first stage consistency quality verification information (1750).

According to an embodiment of the present invention, at least one output corresponding to the first stage consistency quality evaluation information corresponds to a query for checking whether duplication of data managed through the data quality management framework shown in FIG. 1 is identified. And an identifier definition document corresponding to a query for confirming whether a data identifier managed through the data quality management framework shown in FIG. 1 is clarified. And a source-target mapping definition corresponding to a query for confirming whether the data flow managed through the data quality management framework shown in FIG. 1 is identified.

According to an embodiment of the present invention, the first step consistency quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to the at least one first step consistency quality evaluation information. It is preferable to comprise a.

When all of the first step consistency quality verification information is input (or selected), the information verifying means 740 provides the first step consistency quality verification information input (or selected) to the evaluation module through the interface means. In response (1755), the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one first stage consistency quality evaluation information corresponds to the first stage consistency quality verification information. (1760).

If the overall positive response to the first stage consistency quality verification information is not verified (eg, at least one validity of at least one output corresponding to the at least one first stage consistency quality assessment information is not verified) (1765), The evaluation module checks the consistency quality management maturity level of the data quality evaluation target in the 0th stage (1730), and associates the 0 level consistency quality management maturity information of the data quality evaluation target with the data quality evaluation target information. The process then stores the data in a predetermined storage medium 730 (1735).

On the other hand, if the overall positive response to the first step consistency quality assessment is confirmed (eg, validity of all the outputs corresponding to all the first step consistency quality assessment information) (1765), the evaluation module performs the second step. Consistency Quality Assessment A process of evaluating maturity.

18 is a diagram illustrating a process of evaluating the second-stage consistency quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 18 illustrates a consistency quality evaluation module 705 on the consistency quality management maturity evaluation system illustrated in FIG. 16, information input means 735 corresponding to at least one data quality management entity, and the consistency quality assessment entity. The process of evaluating the second stage consistency quality evaluation maturity for the data managed by the data quality management framework shown in Figure 1 in cooperation with each other, the information verification means 740 corresponding to the Those skilled in the art may refer to and / or modify this drawing 18 to infer various implementation methods for evaluating consistency quality assessment maturity for evaluating consistency quality assessment maturity, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

In the following figure 18, the consistency quality evaluation module 705 on the consistency quality management maturity evaluation system shown in FIG. 16 is referred to as " evaluation module "

Referring to FIG. 18, the evaluation module on the consistency quality management maturity evaluation system shown in FIG. 16 includes a second level consistency including at least one second level consistency quality evaluation query for evaluating the second level consistency quality evaluation maturity. A quality assessment interface is generated (or extracted) (1800) and the second stage consistency quality assessment interface is provided (1805) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, at least one second stage consistency quality assessment query included in the second stage consistency quality assessment interface is applied to duplicate data among data managed through the data quality management framework shown in FIG. A query for confirming that verification and metabolic operations are performed, a query for confirming that reference integrity for data managed through the data quality management framework shown in FIG. 1 is applied, and the data quality control shown in FIG. And a query for confirming whether data managed through the framework conforms to the standard, and a query for verifying whether the data flow managed through the data quality management framework shown in FIG. 1 is verified.

Thereafter, the information input means 735 inputs (or selects) at least one or more second stage consistency quality assessment information corresponding to at least one or more second stage consistency quality assessment queries through the second stage consistency quality assessment interface. (1810).

According to an embodiment of the present invention, the second stage consistency quality evaluation information may include one of a positive response and a negative response to the second stage consistency quality evaluation query.

When all of the second stage consistency quality evaluation information corresponding to the second stage consistency quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the evaluation module to the evaluation module through the interface means. In operation 1815, the second stage consistency quality evaluation information is provided, and in response, the evaluation module determines whether the overall positive response to the second stage consistency quality evaluation information is determined.

If the overall positive response to the second stage of consistency quality assessment information is not verified (or at least one or more negative responses are identified) (1825), the evaluation module determines the consistency quality control maturity level for the data quality assessment target. In operation 1830, the first stage consistency quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (1835).

On the other hand, if the overall positive response to the second stage consistency quality evaluation is confirmed (1825), the evaluation module may include at least one corresponding to at least one or more second stage consistency quality verification information for evaluating the second stage consistency quality verification maturity. Generating (or extracting) a second stage consistency quality verification interface for checking the validity of the output and inputting (or selecting) corresponding second stage consistency quality verification information (1840), and through a predetermined interface means. The information verifying means 740 provides the second step consistency quality verification interface (1845).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the second stage consistency quality verification information, and then at least corresponding to the validation result through the second stage consistency quality verification interface. Input (or select) one or more second stage consistency quality verification information (1850).

According to an embodiment of the present invention, the at least one output corresponding to the second stage consistency quality evaluation information may be verified and metabolized for duplicate data among data managed through the data quality management framework shown in FIG. And a duplicate data identification document and / or a duplicate data metabolism result document corresponding to the query for confirming whether the query is performed. The referential integrity of the data managed through the data quality management framework shown in FIG. ERD (or referential integrity definition document) corresponding to the query to confirm that it is applied, characterized in that made through the data quality management framework shown in FIG. The corresponding code standard definition document (or code table) And / or terminology standard documents and / or regulatory related documents and / or organizational charts, and to verify that the data flow managed through the data quality management framework shown in FIG. And a source-target verification scenario and / or a source-target verification result document corresponding thereto.

According to an embodiment of the present invention, the second step consistency quality verification information may be one of a positive response corresponding to a result of validating at least one or more outputs corresponding to at least one second step consistency quality evaluation information, or a negative response. It is preferable to comprise a.

When all of the second stage consistency quality verification information is input (or selected), the information verifying means 740 provides the second stage consistency quality verification information input (or selected) to the evaluation module through the interface means. In operation 1855, the evaluation module determines whether the overall positive response to the validation result of at least one output corresponding to the at least one second stage consistency quality evaluation information corresponds to the second stage consistency quality verification information. (1860).

If the overall positive response to the second stage consistency quality verification information is not verified (eg, at least one validity of at least one output corresponding to the at least one second stage consistency quality assessment information is not verified) (1865), The evaluation module checks the consistency quality management maturity level of the data quality evaluation target as a first step (1830), and links the first level consistency quality management maturity information of the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (1835).

On the other hand, if the overall positive response to the second stage consistency quality assessment is confirmed (eg, validity of all the outputs corresponding to all the second stage consistency quality assessment information) (1865), the evaluation module performs the third stage. Consistency Quality Assessment A process of evaluating maturity.

19 is a diagram illustrating a process of evaluating the third-stage consistency quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 19 illustrates a consistency quality evaluation module 705 on the consistency quality management maturity evaluation system illustrated in FIG. 16, information input means 735 corresponding to at least one data quality management entity, and the consistency quality assessment entity. The information verification means corresponding to the step 740 is a process for evaluating the maturity of the third step consistency quality assessment for the data managed by the data quality management framework shown in Figure 1, in conjunction with each other, Those skilled in the art will be able to infer various implementation methods for evaluating the consistency quality assessment maturity for evaluating the consistency quality assessment maturity by referring to and / or modifying this drawing 19, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

In the following figure 19, the consistency quality evaluation module 705 on the consistency quality management maturity evaluation system shown in FIG. 16 is referred to as " evaluation module "

Referring to FIG. 19, the evaluation module on the consistency quality management maturity evaluation system shown in FIG. 16 includes a third level consistency including at least one third level consistency quality evaluation query for evaluating the third level consistency quality evaluation maturity. A quality assessment interface is generated (or extracted) (1900) and the third stage consistency quality assessment interface is provided (1905) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, at least one third stage consistency quality assessment query included in the third stage consistency quality assessment interface is enterprise-wide for data managed through the data quality management framework shown in FIG. A query for checking whether the overlapping data of the dimension is identified, a query for checking whether an enterprise-wide data flow for data managed through the data quality management framework shown in FIG. 1 is identified, and the data quality shown in FIG. Query to check whether the error cause can be traced and responded to the data managed through the management framework, and to check whether the standard data linkage to the data managed through the data quality management framework shown in FIG. And the data quality management frame shown in FIG. It characterized in that comprises a query to determine that the management data managed by the owner to the work center.

Thereafter, the information input means 735 inputs (or selects) at least one or more third step consistency quality evaluation information corresponding to at least one or more third step consistency quality evaluation queries through the third step consistency quality evaluation interface. (1910).

According to an embodiment of the present invention, the third step consistency quality evaluation information may include one of a positive response and a negative response to the third step consistency quality evaluation query.

When all of the third level consistency quality evaluation information corresponding to the third level consistency quality evaluation query is input (or selected), the information input means 735 inputs (or selects) to the evaluation module through the interface means. In operation 1915, the third stage consistency quality evaluation information is provided. In response, the evaluation module checks whether the overall positive response to the third stage consistency quality evaluation information is determined (1920).

If the overall positive response to the third level consistency quality evaluation information is not confirmed (or at least one negative response is confirmed) (1925), the evaluation module determines a consistency quality management maturity level for the data quality evaluation target. In operation 2930, the second stage consistency quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (1935).

On the other hand, if the overall positive response to the third step consistency quality evaluation is confirmed (1925), the evaluation module may include at least one corresponding to at least one third step consistency quality verification information for evaluating the third step consistency quality verification maturity level. Generating (or extracting) a third stage consistency quality verification interface for checking the validity of the output and inputting (or selecting) corresponding third stage consistency quality verification information (1940), and through a predetermined interface means. The information verification means 740 provides the third step consistency quality verification interface (1945).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the third level consistency quality verification information, and then at least corresponding to the validation result through the third level consistency quality verification interface. Input (or select) one or more third stage consistency quality verification information (1950).

According to an embodiment of the present invention, at least one output corresponding to the third stage consistency quality evaluation information may be identified by company-wide overlapping data for data managed through the data quality management framework shown in FIG. And a duplicate data processing plan document (or a conceptual model ERD) and / or a duplicate data consistency verification result document corresponding to the query for confirming whether or not the request is made. The data quality management framework shown in FIG. And a flow processing reference document corresponding to a query for checking whether the enterprise-wide data flow for the managed data is grasped, and errors for data managed through the data quality management framework shown in FIG. To query the cause to see if And a corresponding error correspondence document, and includes a linkage identification document corresponding to a query for checking whether the standard data linkage of the data managed through the data quality management framework shown in FIG. And a rule (or check result document) corresponding to a query for confirming whether the data managed through the data quality management framework shown in FIG. 1 is managed centrally by the owner. .

According to an embodiment of the present invention, the third step consistency quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one third step consistency quality evaluation information. It is preferable to comprise a.

When all of the third stage consistency quality verification information is input (or selected), the information verifying means 740 provides the third stage consistency quality verification information input (or selected) to the evaluation module through the interface means. In response (1955), the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one third level consistency quality evaluation information corresponds to the third level consistency quality verification information. (1960).

If a full positive response to the third stage consistency quality verification information is not verified (eg, at least one validity of at least one output corresponding to the at least one third stage consistency quality assessment information is not verified) (1965), The evaluation module checks the consistency quality management maturity level of the data quality evaluation target as the second stage (1930), and associates the second level consistency quality management maturity information of the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (1935).

On the other hand, if the overall positive response to the third stage consistency quality assessment is confirmed (eg, validity of all the outputs corresponding to all the third stage consistency quality assessment information is confirmed) (1965), the evaluation module performs the fourth stage. Consistency Quality Assessment A process of evaluating maturity.

20 is a diagram illustrating a process of evaluating the fourth-stage consistency quality evaluation maturity level according to an embodiment of the present invention.

In more detail, FIG. 20 illustrates a consistency quality assessment module 705 and at least one data quality management entity corresponding to at least one data quality management entity and a consistency quality assessment entity in the consistency quality management maturity evaluation system shown in FIG. The information verification means corresponding to the step 740 is a process for evaluating the maturity of the fourth level consistency quality assessment maturity for the data managed by the data quality management framework shown in FIG. Those skilled in the art will be able to infer various implementation methods for evaluating the consistency quality assessment maturity for evaluating the consistency quality assessment maturity by referring to and / or modifying this drawing 20, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in FIG. 20, the consistency quality evaluation module 705 on the consistency quality management maturity evaluation system shown in FIG. 16 is referred to as "evaluation module" for convenience.

Referring to FIG. 20, the evaluation module on the consistency quality management maturity evaluation system illustrated in FIG. 16 includes a fourth level consistency including at least one fourth level consistency quality evaluation query for evaluating the fourth level consistency quality evaluation maturity. A quality assessment interface is generated (or extracted) (2000), and the fourth step consistency quality assessment interface is provided (2005) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, at least one or more fourth level consistency quality evaluation queries included in the fourth level consistency quality evaluation interface may be used to solve errors of data managed through the data quality management framework shown in FIG. And a query for checking whether the knowledge about the data is accumulated, and a query for checking whether the owner-specific performance of the data managed through the data quality management framework shown in FIG. 1 is measured.

Thereafter, the information input means 735 inputs (or selects) at least one or more fourth step consistency quality evaluation information corresponding to at least one or more fourth step consistency quality evaluation queries through the fourth step consistency quality evaluation interface. (2010).

According to an embodiment of the present invention, it is preferable that the fourth step consistency quality evaluation information includes either a positive response or a negative response to the fourth step consistency quality evaluation query.

When all of the fourth level consistency quality evaluation information corresponding to the fourth level consistency quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the evaluation module to the evaluation module through the interface means. In operation 2020, the controller 110 provides the fourth stage consistency quality evaluation information, and in response, the evaluation module determines whether the overall positive response to the fourth stage consistency quality assessment information is determined (2020).

If the overall positive response to the fourth level consistency quality evaluation information is not confirmed (or at least one negative response is confirmed) (2025), the evaluation module determines the consistency quality management maturity level for the data quality evaluation target. In step 2030, the third step consistency quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (2035).

On the other hand, if the overall positive response to the fourth-level consistency quality evaluation is confirmed (2025), the evaluation module includes at least one corresponding to at least one or more fourth-level consistency quality verification information for evaluating the fourth-level consistency quality verification maturity level. Generating (or extracting) a fourth step consistency quality verification interface for checking the validity of the output and inputting (or selecting) fourth step consistency quality verification information corresponding thereto (2040), and through a predetermined interface means. The information verification means 740 provides the fourth level consistency quality verification interface (2045).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the fourth step consistency quality verification information, and then at least corresponding to the validation result through the fourth step consistency quality verification interface. Input (or select) one or more fourth stage consistency quality verification information (2050).

According to an embodiment of the present invention, at least one output corresponding to the fourth step consistency quality evaluation information is accumulated knowledge of error solving of data managed through the data quality management framework shown in FIG. An error knowledge D / B (or error response document) and / or a quality measurement indicator (or measurement result summary document) and / or an error response document corresponding to the query to be confirmed, as shown in FIG. And an owner evaluation result document corresponding to a query for checking whether the performance of each owner of the data managed through the data quality management framework is measured.

According to an embodiment of the present invention, the fourth step consistency quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to the at least one fourth step consistency quality evaluation information. It is preferable to comprise a.

When all of the fourth step consistency quality verification information is input (or selected), the information verifying means 740 provides the fourth step consistency quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one fourth level consistency quality evaluation information corresponds to the fourth level consistency quality verification information. (2060).

If the overall positive response to the fourth step consistency quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one fourth step consistency quality assessment information is not verified) (2065), The evaluation module checks the consistency quality management maturity level of the data quality evaluation target in a third step (2030), and links the third level consistency quality management maturity information of the data quality evaluation target with the data quality evaluation target information. The processor 20 stores the data in a predetermined storage medium 730 (2035).

On the other hand, if the overall positive response to the fourth level consistency quality evaluation is confirmed (eg, if validity of all the outputs corresponding to all the fourth level consistency quality evaluation information is confirmed) (2065), the evaluation module performs the fifth step. Consistency Quality Assessment A process of evaluating maturity.

21 is a diagram illustrating a process of evaluating the fifth step consistency quality evaluation maturity according to the embodiment of the present invention.

More specifically, FIG. 21 shows a consistency quality evaluation module 705 on the consistency quality management maturity evaluation system shown in FIG. 16, information input means 735 corresponding to at least one data quality management entity, and the consistency quality assessment entity. The process of evaluating the fifth step consistency quality evaluation maturity for the data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 21 to infer various implementation methods for evaluating the consistency quality assessment maturity for evaluating the consistency quality assessment maturity, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

In the following figure 21, the consistency quality evaluation module 705 on the consistency quality management maturity evaluation system shown in FIG. 16 is referred to as " evaluation module "

Referring to FIG. 21, the evaluation module on the consistency quality management maturity evaluation system illustrated in FIG. 16 includes a fifth level consistency including at least one fifth level consistency quality evaluation query for evaluating the fifth level consistency quality evaluation maturity. A quality evaluation interface is generated (or extracted) (2100), and the fifth step consistency quality evaluation interface is provided (2105) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one fifth step consistency quality evaluation query included in the fifth step consistency quality evaluation interface may include duplicate data among data managed through the data quality management framework shown in FIG. A query for confirming whether a root cause removal operation is performed, a query for checking whether reference integrity for data managed through the data quality management framework shown in FIG. 1 is optimized, and a data quality management frame shown in FIG. It includes a query to check whether the data flow metabolism managed through the walk is optimized.

Thereafter, the information input means 735 inputs (or selects) at least one fifth step consistency quality evaluation information corresponding to at least one fifth step consistency quality evaluation query through the fifth step consistency quality evaluation interface. (2110).

According to an exemplary embodiment of the present invention, the fifth step consistency quality evaluation information may include one of a positive response and a negative response to the fifth step consistency quality evaluation query.

When all of the fifth stage consistency quality evaluation information corresponding to the fifth stage consistency quality evaluation query is input (or selected), the information input means 735 inputs (or selects) to the evaluation module through the interface means. In operation 2115, the controller 110 provides the fifth step consistency quality evaluation information, and in response, the evaluation module determines whether the overall positive response to the fifth step consistency quality evaluation information is determined (2120).

If the overall positive response to the fifth-level consistency quality assessment information is not confirmed (or at least one or more negative responses are identified) (2125), the evaluation module determines the consistency quality management maturity level for the data quality assessment target. In operation 4130, the control unit 301 may store the fourth-level consistency quality management maturity information of the data quality evaluation target and the data quality evaluation target information in a predetermined storage medium 730 in operation 2135.

On the other hand, if the overall positive response to the fifth-level consistency quality evaluation is confirmed (2125), the evaluation module includes at least one corresponding to at least one or more fifth-step consistency quality verification information for evaluating the fifth-level consistency quality verification maturity level. Generating (or extracting) a fifth level consistency quality verification interface for checking the validity of the output and inputting (or selecting) the fifth level consistency quality verification information corresponding thereto (2140), and through a predetermined interface means. The information verification means 740 provides the fifth step consistency quality verification interface (2145).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the fifth level consistency quality verification information, and then at least corresponding to the validation result through the fifth level consistency quality verification interface. Input (or select) one or more fifth step consistency quality verification information (2150).

According to an exemplary embodiment of the present invention, at least one output corresponding to the fifth step consistency quality evaluation information is performed to remove a root cause of duplicate data among data managed through the data quality management framework shown in FIG. And an error cause removal document corresponding to a query for checking whether the error is detected, and an error corresponding to a query for checking whether reference integrity for data managed through the data quality management framework shown in FIG. 1 is optimized. It is characterized by including the cause removal document.

According to an embodiment of the present invention, the fifth step consistency quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to the at least one fifth step consistency quality evaluation information. It is preferable to comprise a.

When all of the fifth step consistency quality verification information is input (or selected), the information verifying means 740 provides the fifth step consistency quality verification information input (or selected) to the evaluation module through the interface means. In response (2155), the evaluation module checks whether the overall positive response to the validation result of at least one output corresponding to the at least one fifth level consistency quality evaluation information corresponds to the fifth level consistency quality verification information. (2160).

If the overall positive response to the fifth level consistency quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one fifth level consistency quality assessment information is not verified) (2165), The evaluation module checks the consistency quality management maturity level of the data quality evaluation target in a fourth step (2130), and links the fourth level consistency quality management maturity information of the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (2135).

On the other hand, if the overall positive response to the fifth step consistency quality evaluation is confirmed (eg, validity of all the outputs corresponding to all the fifth step consistency quality evaluation information) (2165), the evaluation module determines the data quality. In step 5170, the consistency quality management maturity level of the evaluation target object is determined, and the fifth level consistency quality management maturity information of the data quality evaluation target and the data quality evaluation target information are linked to a predetermined storage medium. 730) (2175).

22 illustrates the interrelationships between data quality management processes for evaluating availability quality control maturity for data quality management in accordance with an embodiment of the present invention.

In more detail, FIG. 22 illustrates data quality management for evaluating the usefulness maturity according to the usability data quality criteria shown in FIG. 3 for data managed throughout the enterprise based on the data quality management framework shown in FIG. A diagram illustrating the interrelationship between processes.

Of the data quality criteria shown in FIG. 3, the usefulness is a quality criterion that indicates whether the provided data can satisfy various requirements of the organization and the user 120. In other words, it should be checked whether it provides sufficient data to meet the requirements, whether the data structure is flexible to accommodate various requirements, and analyzes and manages the usage status.

Referring to FIG. 22, the data quality management process for evaluating the usefulness maturity according to the usability data quality criteria shown in FIG. 3 of the data quality management process shown in FIG. 6 includes requirements management (functional management), data structure. Management (flexibility management), data utilization management (utilization monitoring) and the like.

Here, requirements management (functional management) is the process of managing functional work requirements, business and system analysis, prioritization, etc., and data structure management (flexibility management) is designed with a flexible structure that can cope with new requirements and requirement changes. Data utilization management (utilization monitoring) refers to a process for evaluating resource allocation and user 120 satisfaction by monitoring the utilization status of the user 120.

According to an embodiment of the present invention, the usability quality control maturity is defined based on the data quality control maturity illustrated in FIG. 5 as follows.

The first step of the quality management maturity level is the introduction stage, in which the requirements are defined, the user 120 requirements are collected, processed, and documented. Step. However, there is no overall activity and the person in charge is undertaken, either personally or partly, and not atypical.

The second stage of the quality management maturity stage is a formalization stage, in which a procedure for collecting and verifying a requirement and a response to a requirement is established. In addition, it provides a training and guide for the user 120, and checks the current status of the data utilization to identify and respond to complaints or improvement requirements of the user (120). In other words, all procedures related to requirements management are formalized.

The third stage of the quality management maturity level is the integration stage. The data structure is designed based on the requirements, assesses the impact of changes in the data structure due to the occurrence of new requirements or changes in requirements. This is where the organization exists. Organizations and procedures for negotiating requirements across the enterprise are defined, prioritizing the allocation of resources to respond to requirements, and maintaining the possibility of two-way tracking between requirements and project plans and deliverables. In other words, data structure and requirements management at the enterprise level are performed.

The fourth step of the usefulness quality management maturity level is a quantification step, in which an organization gives a quantitative target for data quality and measures performance periodically by applying a measurement index. Based on the result of the measurement, it is a step of systematically classifying and knowledge of the corresponding knowledge about the functional requirements, and adjusting the roles and responsibilities of the person in charge as necessary. From the enterprise perspective, the transition from qualitative management to quantitative management and the quality performance is clearly measured and knowledgeable.

The fifth step of the usefulness quality management maturity level is an optimization step, which continuously maintains and develops reflecting the best embodiments of the industry, identifies and applies data utilization technologies and trends, and optimizes limited resources to maximize data utilization.

FIG. 23 is a diagram illustrating a configuration of a utility quality management maturity evaluation system for evaluating availability quality evaluation maturity according to an embodiment of the present invention.

More specifically, FIG. 23 is managed on a company-wide basis based on the data quality management framework shown in FIG. 1 according to the correlation of the usability data quality criteria shown in FIG. 3 and the usability quality management process shown in FIG. The present invention relates to a system configuration for evaluating usefulness quality control maturity for existing data, and those skilled in the art to which the present invention pertains can refer to and / or modify this drawing 23 to evaluate usefulness quality evaluation maturity. Various implementation methods for constructing the usefulness quality management maturity evaluation system may be inferred, but the present invention includes all the implementation methods inferred above and is not limited to the implementation method shown in FIG.

Hereinafter, on the usability quality management maturity evaluation system shown in FIG. 23, an information input means 735 corresponding to a quality control agent on the data quality management system shown in FIG. 2 provides a usability quality evaluation interface for each stage of maturity. In response, the information input means 735 receives usability quality evaluation information for each stage of maturity, and the information verification means 740 for verifying the usefulness quality assessment information for each stage of maturity provides a usability quality verification interface for each stage of maturity, and responds thereto. After receiving the usefulness quality verification information for each stage of maturity from the information verifying means 740, and compares and authenticates the usefulness quality evaluation information for each maturity level and the usefulness quality verification information for each maturity level, and manages the data quality shown in FIG. Based on the framework The subjects to evaluate the usefulness of the data quality management maturity is managed privately called "useful quality assessment module 710".

Referring to this figure 23 according to an embodiment of the present invention, the usability quality management maturity evaluation system for evaluating the usability quality assessment maturity corresponds to at least one data quality management entity shown in FIG. Information input means 735 for inputting at least one usefulness quality evaluation information corresponding to the usability quality evaluation interface for each of the above maturity levels, and corresponding to the data quality subject, and inputted through the information input means 735. Information verification means 740 for checking the output corresponding to the usefulness quality evaluation information according to the maturity level and inputting at least one or more maturity level usefulness quality verification information corresponding to the at least one maturity level usability quality verification interface; and the information input means. Last name entered via 735 The usefulness of the data managed throughout the enterprise based on the data quality management framework shown in FIG. 1 by comparing the usefulness quality evaluation information for each maturity level and the usefulness quality verification information for each maturity level inputted through the information verification means 740. And a usability quality assessment module 710 for evaluating the quality management maturity, wherein the information input means 735, the information verification means 740, and the usability quality assessment module 710 use a predetermined interface means. It is characterized by interworking through.

According to an embodiment of the present invention, when the usability quality evaluation procedure is performed online, the information input means 735 may be a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (for example, Asymmetric Digital). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the usability quality assessment module 710 via a Subscriber Line / VDSL (Very High-data Rate Digital Subscriber Line) and / or a Cable Network (VDSL) A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network And the information input means 735 outputs a usability quality evaluation interface for at least one or more maturity stages provided by the usability quality assessment module 710, and at least one of the usability quality assessment interfaces for each maturity stage. A function configuration (eg, a browser program and a communication function) for inputting and / or selecting and providing the usefulness quality evaluation information according to the above maturity levels to the usefulness quality evaluation module 710 is preferably provided.

Those skilled in the art to which the present invention pertains can easily infer the characteristics of the information input means 735 corresponding to at least one or more wired terminals and / or wireless terminals. Is omitted for convenience.

When the information input means 735 is a wired terminal according to an embodiment of the present invention, the interface means includes the TCP / IP-based wired network, and the information input means 735 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another exemplary embodiment of the present invention, when the usability quality evaluation procedure is performed offline, the information input means 735 corresponds to the usability quality evaluation logic provided with the usability quality evaluation module 710. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the usefulness quality evaluation procedure is performed online according to an embodiment of the present invention, the usefulness quality evaluation module 710 may provide the web interface corresponding to the information input means 735 and the interface means. And an interface unit 2300 for connecting and managing the information input means 735 and a predetermined communication channel through an interface means, whereby the usability quality evaluation module 710 provides the information input means. 735 and a web server that is communicatively connected via wired and / or wireless network.

Here, when the information input means 735 is a wired terminal to which a communication channel is connected through a wired network based on TCP / IP, the interface unit 2300 may connect the information input means 735 with Hyper-Text Transfer. A predetermined communication channel is connected based on a protocol, and a usability quality evaluation interface and / or information for each stage of maturity in the form of a Hyper-Text Markup Language (HTML) compatible document is provided to the information input unit 735 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen and receiving and processing the usefulness quality evaluation information of a predetermined maturity level input (or selected) through the usefulness quality evaluation interface for each maturity level from the information input means 735.

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through a CDMA based wireless network, the interface unit 2300 may connect the information input means 735 with a wireless application protocol (WAP) and / or the like. Or connecting a predetermined communication channel based on a mobile explorer (ME) protocol, and evaluating the usability quality of each step of maturity in the form of a wireless markup language (WML) and / or HTML compatible document to the information input means 735 through the communication channel. It is preferable to perform a function of transmitting and outputting an interface and / or information providing screen and receiving and processing usefulness quality evaluation information corresponding to the maturity level usability quality evaluation interface from the information input means 735. .

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 2300 may correspond to the information input means 735 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output a usability quality evaluation interface and / or an information providing screen according to a certain maturity level to the information input means 735 through the communication channel, and output the information input means. And receiving and processing the usefulness quality evaluation information corresponding to the maturity level corresponding to the usefulness quality evaluation interface according to the maturity level, and / or the information input means 735 is based on DataTAC / Mobitex. When the communication channel is connected to a wireless terminal through a wireless network, the interface unit 2300 may provide the information. A usability quality evaluation interface connected to an input means 735 and a predetermined communication channel based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and to the information input means 735 via a predetermined maturity level; Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing usefulness quality evaluation information corresponding to the maturity level usability quality evaluation interface from the information input means 735.

According to another exemplary embodiment of the present invention, when the usability quality evaluation procedure is performed through offline, the usability quality evaluation module 710 is enterprise data quality evaluation operated based on the data quality management framework shown in FIG. It is desirable to include the usability quality assessment logic provided in the data quality assessment institution in response to the business logic.

Referring to FIG. 23, the usability quality evaluation module 710 interoperates with the interface unit 2300 so that the information input means 735 inputs (or selects) and transmits usability quality evaluation information according to a predetermined maturity level. An interface providing unit 2305 for generating (or extracting) a usability quality evaluation interface for each predetermined maturity level, and the information input unit 735 interoperates with the interface unit 2300 to provide the usability quality evaluation interface for each maturity level. And an information receiver 2310 configured to receive usability quality evaluation information for each stage of maturity transmitted through input (or selection).

The interface providing unit 2305 inputs the usefulness quality evaluation information according to a predetermined maturity level (or a browser program included in the information input unit 735) corresponding to the functional configuration (for example, the browser program provided in the information input unit 735). Select) to generate a usability quality evaluation interface according to a predetermined degree of maturity that can be transmitted to the usability quality evaluation module 710 through the interface means, and / or extract it from a predetermined database, and interwork with the interface unit 2300. By using the interface means to provide the usability quality evaluation interface for each stage of maturity generated (or extracted) to the information input means 735.

According to an embodiment of the present invention, the usability quality evaluation interface according to the maturity level may input (or select) at least one or more usability quality evaluation query corresponding to the maturity level and usability quality evaluation information corresponding to each usability quality evaluation query. It is preferable that the user 120 comprises an interface.

In this case, the first step availability quality evaluation query is managed through a data quality management framework shown in FIG. 1 and a query for confirming whether a data requirement managed through the data quality management framework shown in FIG. 1 is defined. Characterized in that it comprises a query to confirm whether to identify the problem corresponding to the data requirements.

In addition, the second step availability quality evaluation query is managed through a query for confirming that the data requirements managed through the data quality management framework shown in FIG. 1 are formalized and the data quality management framework shown in FIG. A query for confirming that the structure management for data requirements is formalized, a query for confirming systematically corresponding to the data requirements managed through the data quality management framework shown in FIG. 1, and the data quality shown in FIG. Characterized by including a query to check whether to check the data utilization managed through the management framework.

In addition, the third-step usability quality evaluation query is a query for confirming that the data requirements managed through the data quality management framework shown in FIG. 1 are coordinated enterprise-wide, and the data quality management framework shown in FIG. A query for confirming that an enterprise-wide linkage of managed data requirements has been established, a query for confirming that an enterprise-wide data structure has been established for data managed through the data quality management framework shown in FIG. In order to improve the utilization of data managed through the illustrated data quality management framework, it is characterized in that it comprises a query to confirm that the resources are distributed.

In addition, the fourth step availability quality evaluation query is a query for confirming whether the accumulated knowledge of the corresponding data requirements managed through the data quality management framework shown in Figure 1, and the data quality management framework shown in Figure 1 And a query for checking whether the knowledge about the structural correspondence of the data requirements managed through the data is accumulated, and a query for checking whether the data utilization managed through the data quality management framework shown in FIG. 1 is evaluated. do.

In addition, the fifth step availability quality evaluation query is to confirm whether the internal and external trends of the data requirements managed through the data quality management framework shown in FIG. And a query for checking whether the data utilization managed through the data quality management framework shown in FIG. 1 is optimized and managed.

Thereafter, the information input unit 735 inputs (or selects) usefulness quality evaluation information for each maturity level based on the usability quality evaluation interface for each maturity level, and inputs the usefulness quality evaluation information for the entered (or selected) maturity level. And transmits to the usability quality assessment module 710 via the interface means.

The information receiving unit 2310 inputs (or selects) availability quality evaluation information for each maturity level through the usability quality evaluation interface for each maturity level in the information input means 735 and transmits the same through the interface means. In operation 2300, the usability quality evaluation information may be received.

According to an embodiment of the present invention, when the usefulness quality evaluation procedure is performed online, the information verification means 740 may be a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (eg, Asymmetric Digital ADSL). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the usability quality assessment module 710 via a Subscriber Line / VDSL (Very High-data Rate Digital Subscriber Line) and / or a Cable Network (VDSL) A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network The information verifying means 740 outputs at least one maturity quality verification interface provided by the usability quality evaluation module 710 and at least one of the usability quality verification interfaces. A function configuration (eg, a browser program and a communication function) for inputting and / or selecting and providing the usefulness quality verification information according to the above maturity levels to the usability quality evaluation module 710 is preferably provided.

Those skilled in the art to which the present invention pertains can easily infer the features of the information verification means 740 corresponding to at least one or more wired terminals and / or wireless terminals, Is omitted for convenience.

When the information verifying means 740 is a wired terminal, the interface means includes the TCP / IP based wired network, and the information verifying means 740 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another exemplary embodiment of the present invention, when the usability quality evaluation procedure is performed offline, the information verifying means 740 corresponds to the usability quality evaluation module 710 and the usability quality evaluation logic. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the usefulness quality evaluation procedure is performed online according to an embodiment of the present invention, the usefulness quality evaluation module 710 may provide the web interface corresponding to the information verifying means 740 and the interface means. And an interface unit 2300 for connecting and managing the information verifying means 740 and a predetermined communication channel through an interface means, whereby the usability quality evaluation module 710 provides the information verifying means. 740 and a web server that are in communication with each other via a wired and / or wireless network.

Here, when the information verifying means 740 is a wired terminal to which a communication channel is connected through a TCP / IP based wired network, the interface unit 2300 may connect the information verifying means 740 with HTTP (Hyper-Text Transfer). A predetermined communication channel is connected based on a protocol, and the usefulness quality verification interface and / or information for each stage of maturity in the form of a Hyper-Text Markup Language (HTML) compatible document is provided to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen and receiving and processing the usefulness quality verification information for each predetermined maturity level input (or selected) through the usability quality verification interface for each maturity level from the information verifying means 740.

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through a CDMA-based wireless network, the interface unit 2300 may include the information verifying means 740 and a wireless application protocol (WAP) and / or the like. Or connecting a predetermined communication channel based on the ME (Mobile Explorer) protocol, and verifying the usability quality of each step of maturity in the form of a wireless markup language (WML) and / or HTML compatible document to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting an interface and / or information providing screen and receiving and processing usefulness quality verification information corresponding to the maturity level usability quality verification interface from the information verification means 740. .

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 2300 corresponds to the information verifying means 740 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output a usability quality verification interface and / or an information providing screen according to a certain maturity level to the information verification means 740 through the communication channel, and output the information verification means. And receiving and processing the usefulness quality verification information corresponding to the maturity level corresponding to the usability quality verification interface according to the maturity level, and / or the information verification means 740 is based on DataTAC / Mobitex. When the communication channel is connected to a wireless terminal through a wireless network, the interface unit 2300 may provide the information. A usability quality verification interface connected to a verification means 740 and a predetermined communication channel based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and to the information verification means 740 via the communication channel. Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing usefulness quality verification information corresponding to the maturity level usability quality verification interface from the information verification means 740.

According to another exemplary embodiment of the present invention, when the usability quality evaluation procedure is performed through offline, the usability quality evaluation module 710 is enterprise data quality evaluation operated based on the data quality management framework shown in FIG. It is desirable to include the usability quality assessment logic provided in the data quality assessment institution in response to the business logic.

Referring to FIG. 23, when the availability quality evaluation information is provided from the information input unit 735 to the availability quality evaluation information according to the maturity level, the usefulness quality evaluation module 710 works with the interface unit 2300 to verify the information verification means 740. An interface provider 2305 for generating (or extracting) a usefulness quality verification interface for each predetermined maturity level and inputting (or selecting) and transmitting the usefulness quality verification information for each predetermined maturity level, and the interface unit 2300. And an information receiver 2310 that receives the usefulness quality verification information for each of the maturity levels, which is input (or selected) through the information verification means 740 through the usability quality verification interface for each maturity level. .

The interface providing unit 2305 may input usability quality verification information according to a predetermined maturity level corresponding to a functional configuration (eg, a browser program provided in the information verifying means 740) provided in the information verifying means 740 (or Select) to generate a usability quality verification interface according to a predetermined maturity level that can be transmitted to the usability quality evaluation module 710 via the interface means, and / or extract it from a predetermined database, and interwork with the interface unit 2300. It is characterized in that to provide the information quality verification means 740 through the interface means the usability quality verification interface generated (or extracted) for each stage of maturity.

According to an exemplary embodiment of the present invention, the usability quality verification interface according to the maturity level may include a predetermined examiner evaluating the data quality management maturity level for at least one output corresponding to at least one usability quality evaluation information corresponding to the maturity level. It is preferable to include a user 120 interface for checking the validity and input (or select) the corresponding usability quality verification information.

Here, the at least one output corresponding to the first stage usefulness quality evaluation information comprises a requirement definition document corresponding to a query for confirming whether the data quality management framework defined through the data quality management framework shown in FIG. 1 is defined. It characterized in that it comprises a requirement definition corresponding to a query for checking whether the problem corresponding to the data requirements managed through the data quality management framework shown in FIG.

In addition, the at least one output corresponding to the second stage usefulness quality assessment information is defined (or a procedure) corresponding to a query for confirming that the data requirements managed through the data quality management framework shown in FIG. Or a standard document template and / or an organization and / or requirement change document, wherein the structure management for responding to data requirements managed through the data quality management framework shown in FIG. 1 is confirmed. And a document related to the regulation and / or an organization chart and / or a requirements tracking document corresponding to the query, and whether the system systematically corresponds to the data requirements managed through the data quality management framework shown in FIG. Implementation schedule (or progress) corresponding to the query being checked Document) and a requirements tracking document and / or requirements reception / action corresponding to a query for checking whether the data utilization managed through the data quality management framework shown in FIG. 1 is checked. It is characterized in that it comprises a document and / or educational plan / result document (or educational textbook).

In addition, the at least one output corresponding to the third-step usability quality assessment information may correspond to a questionnaire and / or organization corresponding to a query that verifies enterprise-wide coordination of data requirements managed through the data quality management framework shown in FIG. And / or a requirement definition document, and manages a requirement change history corresponding to a query confirming whether an enterprise-wide connection of data requirements managed through the data quality management framework shown in FIG. 1 is established. Documents (or requirements tracking documents) and / or requirements definition, characterized in that the resources are distributed to improve the utilization of data managed through the data quality management framework shown in Figure 1 Including monitoring documentation for queries And that is characterized.

In addition, at least one output corresponding to the fourth-stage usefulness quality evaluation information is measured in response to a query confirming whether the knowledge of the structural correspondence of the data requirements managed through the data quality management framework shown in FIG. 1 is accumulated. And an indicator definition document and / or a data utilization evaluation document.

In addition, the at least one output corresponding to the fifth step of the usability quality assessment information may comprise an industry structure information document and / or a data structure related technology and trend identification document corresponding to a query confirming acceptance of an industry best embodiment. It characterized in that it comprises a monitoring document corresponding to the query to determine whether to optimize and manage the data utilization managed through the data quality management framework shown in FIG.

Subsequently, the information verifying means 740 inputs (or selects) usefulness quality verification information for each maturity level based on the usability quality verification interface for each maturity level, and inputs the usefulness quality verification information for the entered (or selected) maturity level. And transmits to the usability quality assessment module 710 via the interface means.

The information receiver 2310 inputs (or selects) usefulness quality verification information for each maturity level through the usability quality verification interface in the information verification means 740 and transmits it through the interface means. In operation 2300, the usability quality verification information may be received.

Referring to FIG. 23, when the usefulness quality evaluation module 710 is provided with the usefulness quality evaluation information according to maturity level from the information input means 735, and the usefulness quality verification information is provided as the maturity level from the information verifying means 740. And an information checking unit 2315 for checking the usefulness maturity information of the data quality evaluation target by comparing the usefulness quality evaluation information according to the maturity level with the usefulness quality verification information according to the maturity level, and the identified usefulness maturity information and data quality evaluation object. And an information storage unit 2320 for linking and storing the information in a predetermined storage medium 730.

The information checking unit 2315 may respond to all of the positive quality responses to the at least one maturity level usability quality evaluation query included in the usefulness quality evaluation interface according to the maturity level from the information input means 735 to the usefulness quality evaluation information according to the maturity level. Response) is included.

If the usefulness quality evaluation information for each of the maturity stages includes at least one or more positive responses to the usefulness quality evaluation query for each of the maturity stages, the information checking unit 2315 may use the quality assurance information for each stage of maturity from the information verification unit 740. Wherein at least one maturity level usability quality verification query included in the maturity level usability quality verification interface includes an all positive response, and is provided from the information input means 735. The usefulness quality assessment information for each of the maturity stages includes at least one overall positive response to the usability quality assessment query for each of the maturity stages, and at least one of the usability quality verification information provided from the information verifying means 740. In the case that contains the total positive response to the maturity stage availability Quality query, the information checking unit 2315 has determined that the data quality evaluation object has reached its useful quality control stage of maturity.

On the other hand, the usefulness quality evaluation information of the maturity level includes at least one negative response, and / or the usefulness quality evaluation information of the maturity level includes the overall positive response to the usability quality evaluation query of at least one maturity level. When at least one negative response is included in the provided quality verification information according to the maturity level, the information checking unit 2315 determines that the data quality evaluation target has not reached the usefulness quality management maturity level. Check it.

For example, when the first level of usefulness quality evaluation information includes the entire positive response to the at least one first level of the usefulness quality evaluation query, the information checking unit 2315 may perform the first step from the information verifying means 740. Checking whether the usability quality verification information includes an all positive response to at least one first step usability quality verification query included in the first step usability quality verification interface, and inputting the information. The first level of usability quality verification information provided from the means 735 includes the overall positive response to at least one or more first level of usability quality assessment queries and is provided from the information verifying means 740. Responding to the at least one first step usability quality assessment information When the total positive response to the at least one output validation is included, the information verification unit 2315 determines that the data quality evaluation target has reached the usability quality management maturity introduction step.

However, the first stage availability quality assessment information includes at least one or more negative responses, and / or the first stage usefulness quality assessment information includes at least one overall positive for the first stage availability quality assessment query. If a response is included, but the at least one negative response is included in the provided first-stage usefulness quality verification information, the information checking unit 2315 may introduce the usefulness quality management maturity to the data quality evaluation target. Confirm that the step has not been reached.

Alternatively, when the second level of usefulness quality evaluation information includes the entire positive response to the at least one second level of the usefulness quality evaluation query, the information checking unit 2315 may perform the second step from the information verifying means 740. Checking whether the usability quality verification information includes an all positive response to at least one or more second level usability quality verification queries included in the second level usability quality verification interface. The second stage usefulness quality verification information provided from the means 735 includes the entire positive response to at least one or more second stage usefulness quality assessment queries, and the second stage usefulness quality verification information provided from the information verifying means 740. Corresponding to at least one or more second stage usability quality assessment information in When a total positive response to at least one output validation is included, the information verification unit 2315 determines that the data quality evaluation target has reached a usability quality management maturity formalization step.

However, at least one or more negative responses are included in the second level of availability quality assessment information, and / or at least one or more second level of usefulness quality assessment queries are included in the second level of availability quality assessment information. If a response is included, but the at least one negative response is included in the provided second stage usefulness quality verification information, the information checking unit 2315 determines that the data quality evaluation target is a corresponding usefulness quality management maturity. Confirm that the step has not been reached.

Alternatively, when the third level of usefulness quality evaluation information includes the entire positive response to the at least one third level of the usefulness quality evaluation query, the information checking unit 2315 may perform the third step from the information verifying means 740. Checking whether the usability quality verification information includes an all positive response to at least one or more third level usability quality verification queries included in the third level usability quality verification interface. The third stage usability quality assessment information provided from the means 735 includes the overall positive response to at least one or more third stage usability quality assessment queries, and the third stage usability quality verification information provided from the information verifying means 740. Corresponding to at least one or more third stage usability quality assessment information in When a total positive response to at least one output validation is included, the information verification unit 2315 determines that the data quality evaluation target has reached the level of usefulness quality management maturity integration.

However, at least one negative response is included in the third-level usability quality assessment information, and / or at least one or more third-level usability quality assessment queries are included in the third-step usability quality assessment information. If a response is included, but the at least one negative response is included in the provided third level usefulness quality verification information, the information checking unit 2315 may integrate the usefulness quality management maturity to the data quality evaluation target. Confirm that the step has not been reached.

Alternatively, when the fourth level of usefulness quality evaluation information includes the entire positive response to the at least one fourth level of the usefulness quality evaluation query, the information checking unit 2315 may perform the fourth step from the information verifying means 740. Checking whether the usability quality verification information includes an all positive response for at least one or more fourth level usability quality verification queries included in the fourth level usability quality verification interface, and inputting the information. The fourth stage usability quality assessment information provided from the means 735 includes the overall positive response to at least one or more fourth stage usability quality assessment queries, and the fourth stage usability quality verification information provided from the information verifying means 740. Corresponding to the at least one fourth step usability quality assessment information at When a total positive response to at least one output validation is included, the information checking unit 2315 determines that the data quality evaluation target has reached a level of usefulness quality management maturity quantification.

However, the fourth stage usability quality assessment information includes at least one or more negative responses, and / or the fourth stage usability quality assessment information includes at least one overall positive for the fourth stage usability quality assessment query. If a response is included, but the at least one negative response is included in the provided fourth level usefulness quality verification information, the information checking unit 2315 determines that the data quality evaluation target is for the usefulness quality management maturity. Confirm that the step has not been reached.

Alternatively, when the fifth level of usefulness quality evaluation information includes at least one or more overall positive responses to the fifth level of usefulness quality evaluation query, the information checking unit 2315 may perform the fifth step from the information verifying means 740. Checking whether the usability quality verification information includes an all positive response for at least one or more fifth step usability quality verification queries included in the fifth step usability quality verification interface, and inputting the information. The fifth level of usefulness quality verification information provided from the means 735 includes the overall positive response to at least one or more fifth level of usefulness quality assessment queries, and the fifth level of usefulness quality verification information provided from the information verifying means 740. Corresponding to the at least one fifth step usability quality assessment information at When a total positive response to at least one output validity check is included, the information checking unit 2315 determines that the data quality evaluation target has reached a level of optimization of usefulness quality management maturity.

However, at least one or more negative responses are included in the fifth level of usefulness quality information, and / or at least one or more fifth level usefulness quality evaluation queries are included in the fifth level of usefulness quality information. If a response is included, but the at least one negative response is included in the provided fifth step usefulness quality verification information, the information checking unit 2315 may determine that the data quality evaluation target is a corresponding usefulness quality management maturity level. Confirm that the step has not been reached.

24 is a diagram illustrating a process of evaluating the first step usefulness quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 24 illustrates a usability quality evaluation module 710 on the usability quality management maturity evaluation system illustrated in FIG. 23, information input means 735 corresponding to at least one data quality management subject, and the usability quality assessment subject. A process of evaluating a first step usefulness quality evaluation maturity level for data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 24 to infer various implementation methods for evaluating the usefulness quality assessment maturity for evaluating the usefulness quality assessment maturity, but the present invention Includes all the inferred implementation methods, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in this figure 24, the usability quality evaluation module 710 on the usability quality management maturity evaluation system shown in FIG. 23 is referred to as "evaluation module" for convenience.

Referring to FIG. 24, an evaluation module on the usability quality management maturity evaluation system shown in FIG. A quality assessment interface is generated (or extracted) (2400) and the first step availability quality assessment interface is provided (2405) to the information input means 735 via a predetermined interface means.

According to the method of the present invention, whether the at least one first stage usability quality assessment query included in the first stage usability quality assessment interface defines data requirements managed through the data quality management framework shown in FIG. And a query for checking whether a problem corresponding to the data requirement managed through the data quality management framework shown in FIG. 1 is identified.

Thereafter, the information input means 735 inputs (or selects) at least one or more first-stage usefulness quality evaluation information corresponding to at least one or more first-stage usefulness quality evaluation queries through the first-stage usefulness quality evaluation interface. (2410).

According to the exemplary embodiment of the present invention, the first step usefulness quality evaluation information may include one of a positive response and a negative response to the first step usefulness quality evaluation query.

When all of the first-stage usefulness quality evaluation information corresponding to the first-stage usefulness quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 2420, the processor may provide the first stage usefulness quality evaluation information (2415), and in response, the evaluation module determines whether the overall positive response to the first stage usefulness quality evaluation information is determined (2420).

If the overall positive response to the first level of usefulness quality assessment information is not identified (or at least one or more negative responses are identified) (2425), the evaluation module determines the usefulness quality control maturity level for the data quality assessment target. In operation 0430, the controller 410 may store the data quality evaluation target information associated with the level 0 usefulness quality management maturity information for the data quality evaluation target in the predetermined storage medium 730 in operation 2435.

On the other hand, if the overall positive response to the first level of usability quality assessment is confirmed (2425), the evaluation module includes at least one corresponding to at least one or more first level of usability quality verification information for evaluating the first level of usability quality verification maturity. Generate (or extract) a first stage usability quality verification interface for checking the validity of the output and inputting (or selecting) corresponding first stage usability quality verification information (2440), and through a predetermined interface means. The information verifying means 740 provides the first level of usability quality verification interface 2445.

Thereafter, the information verifying means 740 confirms the validity of the at least one output corresponding to the first level of usability quality verification information, and then at least corresponding to the result of the validation through the first level of usability quality verification interface. Input (or select) one or more first step usability quality verification information (2450).

According to an embodiment of the present invention, at least one output corresponding to the first level of usefulness quality assessment information corresponds to a query for determining whether to define a data requirement managed through the data quality management framework shown in FIG. And a requirement definition document corresponding to a query for identifying whether a problem corresponding to the data requirement managed through the data quality management framework shown in FIG. 1 is identified. It features.

According to an exemplary embodiment of the present invention, the first level of usefulness quality verification information may be one of a positive response or a negative response corresponding to a result of validation of at least one or more outputs corresponding to at least one or more first level of usefulness quality evaluation information. It is preferable to comprise a.

When all of the first level of usefulness quality verification information is input (or selected), the information verifying means 740 provides the first level of usefulness quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one first stage usefulness quality evaluation information corresponds to the first stage usefulness quality verification information. (2460).

If the overall positive response to the first level of usability quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one first level of usability quality assessment information is not verified) (2465), The evaluation module checks the usefulness quality management maturity level of the data quality evaluation target in the 0th step (2430), and associates the level 0 availability quality management maturity information of the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (2435).

On the other hand, if the overall positive response to the first stage usability quality assessment is confirmed (eg, validity of all the outputs corresponding to all the first stage usability quality assessment information is determined) (2465), the evaluation module performs the second stage. Usability Quality Assessment The process of evaluating maturity.

25 is a diagram illustrating a process of evaluating the second stage usefulness quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 25 illustrates a usefulness quality evaluation module 710 on the usefulness quality management maturity evaluation system illustrated in FIG. 23, information input means 735 corresponding to at least one data quality management entity, and the usefulness quality assessment agent. A process for evaluating a second stage usefulness quality evaluation maturity for data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 25 to infer various implementation methods for evaluating the usefulness quality assessment maturity for evaluating the usefulness quality assessment maturity, but the present invention Includes all the inferred implementation methods, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in this figure 25, the usability quality evaluation module 710 on the usability quality management maturity evaluation system shown in FIG. 23 is referred to as an "evaluation module" for convenience.

Referring to FIG. 25, the evaluation module on the usability quality management maturity rating system shown in FIG. A quality evaluation interface is generated (or extracted) (2500), and the second step availability quality evaluation interface is provided (2505) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, whether the at least one second stage usability quality assessment query included in the second stage usability quality assessment interface formalizes data requirements managed through the data quality management framework shown in FIG. A query for confirming and a structure for responding to data requirements managed through the data quality management framework shown in FIG. 1, and a structure for managing data requirements, and a data quality management framework shown in FIG. And a query for checking whether to systematically correspond to the data requirements, and a query for checking whether the data utilization managed through the data quality management framework shown in FIG. 1 is checked.

Thereafter, the information input means 735 inputs (or selects) at least one or more second step availability quality evaluation information corresponding to at least one or more second step availability quality evaluation query through the second step availability quality evaluation interface. (2510).

According to an embodiment of the present invention, the second level of usefulness quality evaluation information may include any one of a positive response or a negative response to the second level of usefulness quality evaluation query.

When all of the second stage usability quality evaluation information corresponding to the second stage usability quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 2520, the controller may provide the second stage usefulness quality evaluation information (2515), and in response, the evaluation module may determine whether the overall positive response to the second stage usefulness quality evaluation information is determined (2520).

If the overall positive response to the second level of usefulness quality evaluation information is not confirmed (or at least one or more negative responses are confirmed) (2525), the evaluation module determines the usefulness quality management maturity level for the data quality evaluation object. In step 1530, the first step of usefulness quality management maturity information for the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (2535).

On the other hand, if the overall positive response to the second level of usefulness quality evaluation is confirmed (2525), the evaluation module includes at least one corresponding to at least one or more second level of usefulness quality verification information for evaluating the second level of usefulness quality verification maturity. A second step usability quality verification interface for checking the validity of the above output and inputting (or selecting) corresponding second step usability quality verification information is generated (or extracted) (2540), and through a predetermined interface means. In operation 2545, the information verifying means 740 provides the second level of usability quality verification interface.

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the second level of usability quality verification information, and then at least corresponding to the validity verification result through the second level of usability quality verification interface. Input (or select) one or more second stage availability quality verification information (2550).

According to an embodiment of the present invention, the at least one output corresponding to the second stage usefulness quality assessment information corresponds to a query for identifying whether to formalize data requirements managed through the data quality management framework shown in FIG. Regulations (or procedures) and / or standard document templates and / or organizational and / or requirements change documents, and the data requirements response managed through the data quality management framework shown in FIG. And a document related to regulation and / or an organization chart and / or a requirements tracking document corresponding to a query for confirming that the structure management is formalized, and is managed through the data quality management framework shown in FIG. Respond to queries that systematically respond to data requirements And a requirements tracking document corresponding to a query for checking whether the data utilization managed through the data quality management framework shown in FIG. 1 is checked, including an implementation schedule plan (or progress management document). Or a requirement receipt / action document and / or an education plan / result document (or educational textbook).

According to an embodiment of the present invention, the second level of usefulness quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more second level of usefulness quality evaluation information. It is preferable to comprise a.

When all of the second stage usefulness quality verification information is input (or selected), the information verifying means 740 provides the second stage usefulness quality verification information input (or selected) to the evaluation module through the interface means. And (2555) correspondingly, the evaluation module checks whether the overall positive response to the validation result of the at least one output corresponding to the at least one second stage usefulness quality evaluation information corresponds to the second stage usefulness quality verification information. (2560).

If the overall positive response to the second level of usability quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one second level of usability quality assessment information is not verified) (2565), The evaluation module checks the usefulness quality management maturity level of the data quality evaluation target as the first step (2530), and links the first level usefulness quality management maturity information to the data quality evaluation target information and the data quality evaluation target information. The data is stored in a predetermined storage medium 730 (2535).

On the other hand, if the overall positive response to the second stage usability quality assessment is confirmed (e.g., validity of all the outputs corresponding to all the second stage usability quality assessment information is determined) (2565), the evaluation module performs the third stage. Usability Quality Assessment The process of evaluating maturity.

FIG. 26 is a diagram illustrating a process of evaluating maturity of a third step usability quality assessment according to an embodiment of the present invention.

In more detail, FIG. 26 illustrates a usability quality evaluation module 710 on the usability quality management maturity evaluation system illustrated in FIG. 23, information input means 735 corresponding to at least one data quality management subject, and the usability quality assessment subject. The information verification means 740 corresponding to the third step of the process of evaluating the usefulness quality evaluation maturity level for the data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 26 to infer various implementation methods for evaluating the usefulness quality assessment maturity for evaluating the usefulness quality assessment maturity, but the present invention Includes all the inferred implementation methods, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in this figure 26, the usability quality evaluation module 710 on the usability quality management maturity evaluation system shown in FIG. 23 is referred to as an "evaluation module" for convenience.

Referring to FIG. 26, an evaluation module on the usability quality management maturity evaluation system illustrated in FIG. 23 includes a third level of usability including at least one third level of usefulness quality evaluation query for evaluating the third level of usefulness quality evaluation of maturity A quality evaluation interface is generated (or extracted) (2600), and the third step usefulness quality evaluation interface is provided (2605) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one third stage usability quality assessment query included in the third stage usability quality assessment interface is a company-wide data requirement managed through the data quality management framework shown in FIG. A query for checking whether the data is coordinated, a query for checking whether an enterprise-wide linkage of data requirements managed through the data quality management framework shown in FIG. 1 is established, and a data quality management framework shown in FIG. And a query for checking whether a company-wide data structure has been established for the data to be distributed, and a query for checking whether resources are distributed to improve the utilization of data managed through the data quality management framework shown in FIG. It is done.

Thereafter, the information input means 735 inputs (or selects) at least one or more third level usefulness quality evaluation information corresponding to at least one or more third level usefulness quality evaluation query through the third level usefulness quality evaluation interface. (2610).

According to the exemplary embodiment of the present invention, the third-step usability quality evaluation information may include one of a positive response or a negative response to the third-step usability quality evaluation query.

When all of the third stage usability quality evaluation information corresponding to the third stage usability quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 2620, the method provides the 3rd stage usefulness quality evaluation information (2215), and in response, the evaluation module determines whether the overall positive response to the third stage usefulness quality evaluation information is determined (2620).

If the overall positive response to the third level of usefulness quality evaluation information is not confirmed (or at least one or more negative responses are confirmed) (2625), the evaluation module determines the usefulness quality management maturity level for the data quality evaluation object. In operation 2630, the second stage usefulness quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (2635).

On the other hand, if the overall positive response to the third-stage usefulness quality evaluation is confirmed (2625), the evaluation module includes at least one corresponding to at least one or more third-stage usefulness quality verification information for evaluating the third-stage usefulness quality verification maturity. Generate (or extract) a third stage usability quality verification interface for checking the validity of the output and inputting (or selecting) corresponding third stage usability quality verification information (2640), and through a predetermined interface means. In operation 2645, the information verifying means 740 provides the third level of usability quality verification interface.

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the third level of usability quality verification information, and then at least corresponding to the result of the validation through the third level of usability quality verification interface. Input (or select) one or more third stage availability quality verification information (2650).

According to an embodiment of the present invention, the at least one output corresponding to the third-step usability quality assessment information may be sent to a query for checking whether the data requirements managed through the data quality management framework shown in FIG. A corresponding minutes and / or organizational and / or requirements definitions, and a query to determine whether an enterprise-wide linkage of managed data requirements is established through the data quality management framework shown in FIG. And a corresponding requirements change history management document (or a requirements tracking document) and / or a requirements definition document. The data quality management framework shown in FIG. Monitor for queries to ensure that resources are distributed It characterized in that it comprises a ring document.

According to an embodiment of the present invention, the third level of usefulness quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more third level of usefulness quality evaluation information. It is preferable to comprise a.

When all of the third stage usefulness quality verification information is input (or selected), the information verifying means 740 provides the third stage usefulness quality verification information input (or selected) to the evaluation module through the interface means. In response (2655), the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one third level of the usefulness quality verification information corresponds to at least one third level of the usefulness quality verification information. (2660).

If the overall positive response to the third level of usability quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one third level of usability quality assessment information is not verified) (2665), The evaluation module checks the availability quality management maturity level for the data quality evaluation target as the second step (2630), and links the second level usefulness quality management maturity information for the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (2635).

On the other hand, if the overall positive response to the third stage usability quality assessment is confirmed (e.g., validity of all outputs corresponding to all the third stage usability quality assessment information is confirmed) (2665), the evaluation module performs the fourth stage. Usability Quality Assessment The process of evaluating maturity.

FIG. 27 is a diagram illustrating a process of evaluating maturity of a fourth step usability quality assessment according to an embodiment of the present invention. FIG.

In more detail, FIG. 27 illustrates a usability quality evaluation module 710 on the usability quality management maturity evaluation system illustrated in FIG. 23, information input means 735 corresponding to at least one data quality management subject, and the usability quality assessment subject. A process for evaluating a fourth step usefulness quality assessment maturity level for data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 27 to infer various methods of evaluating the usefulness quality evaluation maturity for evaluating the usefulness quality evaluation maturity, but the present invention. Includes all the inferred implementation methods, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in this figure 27, the usability quality evaluation module 710 on the usability quality management maturity evaluation system shown in FIG. 23 is referred to as an "evaluation module" for convenience.

Referring to FIG. 27, the evaluation module on the usability quality management maturity evaluation system shown in FIG. A quality assessment interface is generated (or extracted) (2700), and the fourth step availability quality assessment interface is provided (2705) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, the at least one fourth stage usability quality assessment query included in the fourth stage usability quality assessment interface corresponds to a data requirement managed through the data quality management framework shown in FIG. A query for confirming whether the knowledge has been accumulated, a query for confirming the accumulation of knowledge about the structural correspondence of data requirements managed through the data quality management framework shown in FIG. 1, and a data quality management frame shown in FIG. Characterized by including a query to determine whether to evaluate the data utilization managed through the work.

Thereafter, the information input means 735 inputs (or selects) at least one or more fourth step usefulness quality evaluation information corresponding to at least one or more fourth step usefulness quality evaluation query through the fourth step usefulness quality evaluation interface. (2710).

According to an embodiment of the present invention, the fourth step usability quality evaluation information may include any one of a positive response or a negative response to the fourth step usability quality evaluation query.

When all of the fourth-stage usefulness quality evaluation information corresponding to the fourth-stage usefulness quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 2720, the controller may provide the fourth stage usefulness quality evaluation information (2715), and in response, the evaluation module may determine whether the overall positive response to the fourth stage usefulness quality evaluation information is applied (2720).

If the overall positive response to the fourth-stage availability quality assessment information is not identified (or at least one or more negative responses are identified) (2725), the evaluation module determines the availability quality control maturity level for the data quality assessment target. In step 3730, the 3D step quality usefulness management maturity information for the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (2735).

On the other hand, if the overall positive response to the fourth-stage usefulness quality evaluation is confirmed (2725), the evaluation module includes at least one corresponding to at least one or more fourth-stage usefulness quality verification information for evaluating the fourth-stage usefulness quality verification maturity. Generate (or extract) a fourth step usability quality verification interface for checking the validity of the output and inputting (or selecting) corresponding fourth step usability quality verification information (2740), and through a predetermined interface means. The information verification means 740 provides the fourth level of usability quality verification interface (2745).

Thereafter, the information verifying means 740 confirms the validity of the at least one output corresponding to the fourth step usefulness quality verification information, and then at least corresponding to the validation result through the fourth step usefulness quality verification interface. Input (or select) one or more fourth stage availability quality verification information (2750).

According to an embodiment of the present invention, at least one output corresponding to the fourth-step usability quality assessment information has accumulated knowledge of the structural correspondence of data requirements managed through the data quality management framework shown in FIG. Characterized by including a measurement index definition document and / or data utilization evaluation document corresponding to the query to confirm.

According to an exemplary embodiment of the present invention, the fourth step usefulness quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more fourth step usefulness quality evaluation information. It is preferable to comprise a.

When all of the fourth level usefulness quality verification information is input (or selected), the information verifying means 740 provides the fourth level usefulness quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one fourth stage usefulness quality evaluation information corresponds to the fourth stage usefulness quality verification information. (2760).

If the overall positive response to the fourth level of usability quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one fourth level of usability quality assessment information is not verified) (2765), The evaluation module checks the availability quality management maturity level for the data quality evaluation target in a third step (2730), and links the third level availability quality management maturity information for the data quality evaluation target with the data quality evaluation target information. The process then stores the data in a predetermined storage medium 730 (2735).

On the other hand, if the overall positive response to the fourth stage usability quality assessment is confirmed (e.g., validity of all the outputs corresponding to all the fourth stage usability quality assessment information is confirmed) (2765), the evaluation module performs the fifth stage. Usability Quality Assessment The process of evaluating maturity.

28 is a diagram illustrating a process of evaluating the fifth step usefulness quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 28 illustrates a usability quality evaluation module 710 on the usability quality management maturity evaluation system illustrated in FIG. 23, information input means 735 corresponding to at least one data quality management subject, and the usability quality assessment subject. A process for evaluating a fifth step usefulness quality evaluation maturity level for data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 28 to infer various methods of evaluating the usefulness quality evaluation maturity for evaluating the usefulness quality evaluation maturity, but the present invention. Includes all the inferred implementation methods, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in this figure 28, the usability quality evaluation module 710 on the usability quality management maturity evaluation system shown in FIG. 23 is referred to as "evaluation module" for convenience.

Referring to FIG. 28, the evaluation module on the usability quality management maturity evaluation system illustrated in FIG. 23 includes a fifth level of usability including at least one fifth level of usefulness quality evaluation query for evaluating the fifth level of usefulness quality evaluation maturity. A quality evaluation interface is generated (or extracted) (2800), and the fifth step availability quality evaluation interface is provided (2805) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, at least one or more fifth step usability quality assessment queries included in the fifth step usability quality assessment interface may be applied to the inside / outside of data requirements managed through the data quality management framework shown in FIG. Queries to identify and reflect external trends, queries to confirm industry acceptance, and queries to optimize and manage data utilization managed through the data quality management framework shown in FIG. It is characterized by comprising.

Thereafter, the information input means 735 inputs (or selects) at least one or more fifth step usability quality evaluation information corresponding to at least one or more fifth step usability quality evaluation query through the fifth step usability quality evaluation interface. (2810).

According to the exemplary embodiment of the present invention, the fifth level of usefulness quality evaluation information may include one of a positive response and a negative response to the fifth level of usefulness quality evaluation query.

When all of the fifth-step usability quality evaluation information corresponding to the fifth-step usability quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In step 2815, the first step provides the usefulness quality evaluation information (2815), and in response, the evaluation module determines whether the overall positive response to the fifth step usefulness quality evaluation information is determined (2820).

If the overall positive response to the fifth step of the usefulness quality evaluation information is not confirmed (or at least one or more negative responses are confirmed) (2825), the evaluation module determines the usefulness quality management maturity level for the data quality evaluation target. In operation 4230, the fourth-stage usefulness quality management maturity information for the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (2835).

On the other hand, if the overall positive response to the fifth stage of the usefulness quality evaluation is confirmed (2825), the evaluation module may include at least one corresponding to at least one or more fifth stage of the usefulness quality verification information for evaluating the fifth stage of the usefulness quality verification maturity. Generate (or extract) a fifth step usability quality verification interface for checking the validity of the output and inputting (or selecting) corresponding fifth step usability quality verification information (2840), and through a predetermined interface means. The information verifying means 740 provides the fifth step of the usability quality verification interface (2845).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the fifth step of the usefulness quality verification information, and then at least corresponding to the validation result through the fifth step of the usability quality verification interface. Input (or select) one or more fifth level of usability quality verification information (2850).

According to an embodiment of the present invention, the at least one output corresponding to the fifth step of the usability quality assessment information may be related to industry structure information related documents and / or data structure corresponding to a query for confirming that the best embodiment is accepted. Characterized in that it comprises a trend identification document, characterized in that it comprises a monitoring document corresponding to the query to determine whether to optimize and manage the data utilization managed through the data quality management framework shown in FIG. .

According to an embodiment of the present invention, the fifth level of usefulness quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more fifth level of usefulness quality evaluation information. It is preferable to comprise a.

When all of the fifth-step usability quality verification information is input (or selected), the information verification means 740 provides the fifth-step usability quality verification information input (or selected) to the evaluation module through the interface means. In operation 2855, the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one fifth level of the usefulness quality verification information corresponds to at least one fifth level of the usefulness quality verification information. (2860).

If the overall positive response to the fifth level of usability quality verification information is not verified (eg, if the validity of at least one or more products corresponding to the at least one fifth level of usability quality assessment information is not verified) (2865), The evaluation module checks the usability quality management maturity level of the data quality evaluation target in a fourth step (2830), and links the fourth level usefulness quality management maturity information of the data quality evaluation target with the data quality evaluation target information. The process may store the data in a predetermined storage medium 730 (2835).

On the other hand, if the overall positive response to the fifth stage of the usability quality assessment is confirmed (e.g., validity of all the outputs corresponding to all the fifth stage of the usability quality assessment information) (2865), the evaluation module determines the data quality. The usability quality control maturity level of the evaluation target is confirmed in a fifth step (2870), and the fifth step usefulness quality management maturity information of the data quality evaluation target and the data quality evaluation target information are linked to a predetermined storage medium ( 730) (2875).

29 illustrates the interrelationships between data quality management processes for evaluating accessibility quality control maturity for data quality management in accordance with an embodiment of the present invention.

More specifically, FIG. 29 shows data quality management for evaluating the accessibility maturity based on the data managed by the enterprise based on the data quality management framework shown in FIG. 1 according to the accessibility data quality criteria shown in FIG. A diagram illustrating the interrelationship between processes.

Among the data quality standards shown in FIG. 3, the accessibility should secure the quality of the service itself such as not only the quality of the data itself but also an interface required to efficiently and effectively provide the data in order to satisfy the user 120 satisfaction with the data. . The accessibility is a quality criterion that means that the user 120 can easily use desired data.

Referring to FIG. 29, the data quality management process for evaluating accessibility maturity according to the accessibility data quality criteria illustrated in FIG. 3 of the data quality management process illustrated in FIG. 6 includes user 120 view management and data structure management. It is characterized by including (integration management).

Here, the view management of the user 120 is a process of managing an interface between the user 120 and data, and the data structure management (integrated management) refers to a process of integrating and managing data distributed in multiple systems into a data structure of a consistent view. do

According to the embodiment of the present invention, the accessibility quality management maturity is defined based on the data quality management maturity illustrated in FIG. 5 as follows.

The first stage of access quality management maturity is an introduction stage, in which a basic user view is provided, such as a menu structure and a site map, and a reference document for the user view. In addition, distributed data can be inquired, and integration and conversion criteria of distributed data are prepared and a user 120 view for inquiring about the distributed data is provided.

The second step of access quality management maturity is a formalization step, which provides a standardized view of the user 120, performs periodic training to improve the data utilization of the user 120, and keeps the user 120 manual up to date. It is a step to be maintained. The distributed data is provided as a database in a subject-oriented and integrated form, so that the user 120 can easily access and utilize the data directly.

The third step of access quality management maturity is an integration step, in which data distributed in various systems is provided as a view of the user 120 in which data distributed in various systems is integrated, and data access channels required for work are more diversified. The distributed data can also be analyzed from an integrated perspective, and in addition to the basic data supported by the computerized organization, an environment that can respond to the advanced analysis needs of the user 120 is provided, and the data is sufficiently accumulated to generate added value. It is mature enough. The underlying data structure is also shared and provided with meta information to the user 120.

The fourth step of access quality management maturity is a quantification step, in which a quantitative goal for data quality is given to an organization member and the performance is periodically measured by applying measurement indicators. According to the measurement result, accessibility is improved and the user 120 utilization pattern is analyzed to adjust roles and responsibilities of the person in charge as necessary. From a company-wide perspective, it shifts from qualitative management to quantitative management and the quality performance is clearly measured and knowledgeable.

The fifth stage of access quality management maturity is an optimization stage, in which continuous process improvement activities are performed by combining the latest technology and utilization status in order to optimize the user 120 view. It is a level that can be coped with.

30 is a diagram illustrating a configuration of an access quality management maturity evaluation system for evaluating accessibility quality evaluation maturity according to an embodiment of the present invention.

More specifically, FIG. 30 is managed enterprise-wide based on the data quality management framework shown in FIG. 1 according to the accessibility data quality criteria shown in FIG. 3 and the accessibility quality management process correlation shown in FIG. The present invention relates to a system configuration for evaluating the accessibility quality control maturity for the existing data. For those skilled in the art to which the present invention pertains, referring to and / or modifying the drawing 30 to evaluate the access quality assessment maturity. Various implementation methods for constructing an access quality management maturity evaluation system may be inferred, but the present invention includes all the implementation methods inferred above and is not limited to the implementation method illustrated in FIG.

Hereinafter, the accessibility quality evaluation interface for each stage of maturity is provided to the information input means 735 corresponding to the quality control agent on the data quality management system shown in FIG. 2 on the accessibility quality management maturity evaluation system shown in FIG. In response, the accessibility quality evaluation information is received from the information input means 735, and the accessibility quality verification interface for the maturity level is provided to the information verification means 740 for verifying the accessibility quality evaluation information for the maturity level. After receiving the accessibility quality verification information for each stage of maturity from the information verifying means 740, and compares and authenticates the accessibility quality evaluation information for each stage of maturity and the accessibility quality verification information for each stage of maturity, data quality management shown in FIG. Based on the framework The subject of evaluating the quality of management maturity accessibility to data that are managed privately called "Accessibility Quality Module (715)".

Referring to FIG. 30 according to an embodiment of the present invention, an accessibility quality management maturity evaluation system for evaluating accessibility quality assessment maturity corresponds to at least one data quality management entity shown in FIG. Information input means 735 for inputting at least one or more maturity level accessibility quality evaluation information corresponding to the accessibility quality evaluation interface according to the maturity level, corresponding to the data quality evaluation subject, and inputted through the information input means 735. Information verification means 740 for checking the output corresponding to the accessibility quality evaluation information according to the maturity level and inputting at least one or more maturity level accessibility quality verification information corresponding to the at least one maturity level accessibility quality verification interface; and the information input means. Last name entered via 735 Accessibility to data managed throughout the enterprise based on the data quality management framework shown in FIG. 1 by comparing the accessibility quality evaluation information for each maturity level and the accessibility quality verification information for each maturity level inputted through the information verification means 740. And an accessibility quality evaluation module 715 for evaluating the quality management maturity level. The information input means 735, the information verification means 740, and the accessibility quality evaluation module 715 use predetermined interface means. It is characterized by interworking through.

According to an embodiment of the present invention, when the accessibility quality evaluation procedure is performed online, the information input means 735 may be a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (for example, Asymmetric Digital ADSL). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the accessibility quality assessment module 715 via Subscriber Line / Very High-Data Rate Digital Subscriber Line (VDSL) and / or Cable Network. A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network The information input means 735 outputs at least one maturity level accessibility quality evaluation interface provided by the accessibility quality assessment module 715, and at least one of the maturity level accessibility quality evaluation interfaces. A function configuration (eg, a browser program and a communication function) for inputting and / or selecting the accessibility quality evaluation information according to the above maturity levels and providing the same to the accessibility quality evaluation module 715 is preferably provided.

Those skilled in the art to which the present invention pertains can easily infer the characteristics of the information input means 735 corresponding to at least one or more wired terminals and / or wireless terminals. Is omitted for convenience.

When the information input means 735 is a wired terminal according to an embodiment of the present invention, the interface means includes the TCP / IP-based wired network, and the information input means 735 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another exemplary embodiment of the present invention, when the accessibility quality evaluation process is performed offline, the information input means 735 corresponds to the accessibility quality evaluation logic provided with the accessibility quality evaluation module 715. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the accessibility quality evaluation procedure is performed online according to an embodiment of the present invention, the accessibility quality evaluation module 715 may provide a web interface corresponding to the information input means 735 and the interface means. And an interface unit 3000 for connecting and managing the information input means 735 and a predetermined communication channel through an interface means, whereby the accessibility quality evaluation module 715 provides the information input means. 735 and a web server that is communicatively connected via wired and / or wireless network.

Here, when the information input means 735 is a wired terminal to which a communication channel is connected through a wired network based on TCP / IP, the interface unit 3000 may connect the information input means 735 with Hyper-Text Transfer. Connect a predetermined communication channel based on a protocol, and provide an access quality evaluation interface and / or information according to maturity level in the form of a Hyper-Text Markup Language (HTML) compatible document to the information input means 735 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen and receiving and processing accessibility quality evaluation information of a predetermined maturity level input (or selected) through the maturity level accessibility quality evaluation interface from the information input means 735.

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through a CDMA based wireless network, the interface unit 3000 may include the information input means 735 and a wireless application protocol (WAP) and / or the like. Or connect a predetermined communication channel based on the ME (Mobile Explorer) protocol, the access quality evaluation of the maturity level in the form of WML (Wireless Markup Language) and / or HTML compatible document to the information input means 735 through the communication channel It is preferable to perform a function of transmitting and outputting an interface and / or an information providing screen and receiving and processing accessibility quality evaluation information corresponding to the maturity level corresponding to the maturity level accessibility quality evaluation interface from the information input means 735. .

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 3000 corresponds to the information input means 735 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output an access quality evaluation interface and / or an information providing screen according to a predetermined maturity level to the information input means 735 through the communication channel, and output the information input means. And receiving and processing the accessibility quality assessment information corresponding to the maturity stages corresponding to the accessibility quality assessment interface according to the maturity stages, and / or the information input means 735 is based on DataTAC / Mobitex. When the communication channel is connected to a wireless terminal through a wireless network, the interface unit 3000 may provide the information. An access quality evaluation interface connected to an input means 735 and a predetermined communication channel based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and to the information input means 735 through a predetermined maturity level through the communication channel; Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing accessibility quality evaluation information corresponding to the maturity level corresponding to the maturity level accessibility quality evaluation interface from the information input means 735.

According to another exemplary embodiment of the present invention, when the accessibility quality evaluation procedure is performed offline, the accessibility quality evaluation module 715 may evaluate enterprise-wide data quality that is operated based on the data quality management framework shown in FIG. It is preferable to include accessibility quality evaluation logic provided in the data quality evaluation institution in response to the business logic.

Referring to FIG. 30, the accessibility quality evaluation module 715 interoperates with the interface unit 3000 so that the information input means 735 inputs (or selects) and transmits access quality evaluation information according to a predetermined maturity level. An interface providing unit 3005 for generating (or extracting) an accessibility quality evaluation interface for each predetermined maturity level, and the information input unit 735 connects the accessibility quality evaluation interface for each maturity level with the interface unit 3000. And an information receiver 3010 that receives access quality evaluation information for each stage of maturity transmitted through input (or selection).

The interface providing unit 3005 inputs access quality assessment information according to a predetermined maturity level (or a browser program provided in the information input unit 735) corresponding to the functional configuration (eg, a browser program provided in the information input unit 735). Select and generate an access quality assessment interface according to the maturity level, which can be transmitted to the accessibility quality assessment module 715 through the interface means, and / or extract it from a predetermined database, and interwork with the interface unit 3000. And provide the generated (or extracted) maturity level accessibility quality evaluation interface to the information input means 735 through the interface means.

According to an embodiment of the present invention, the accessibility quality assessment interface according to the maturity level may input (or select) at least one accessibility quality assessment query corresponding to the maturity level and accessibility quality assessment information corresponding to each accessibility quality assessment query. It is preferable that the user 120 comprises an interface.

Here, the first stage accessibility quality evaluation query is a query for checking whether distributed data among data managed through the data quality management framework shown in FIG. 1 can be queried, and the data quality management framework shown in FIG. And a query to confirm whether to provide the user 120 view structure managed through the user, and a query to confirm whether to support the use of the user 120 data managed through the data quality management framework shown in FIG. It features.

In addition, the second stage accessibility quality evaluation query is a query for checking whether there is a structure integrating distributed data among the data managed through the data quality management framework shown in FIG. 1, and the data quality management shown in FIG. Whether to support a query for confirming that the user 120 managed by the framework standardizes the screen configuration and a manual for utilizing data of the user 120 managed through the data quality management framework shown in FIG. And a query for confirming whether to provide a data sharing environment managed through the data quality management framework shown in FIG. 1.

In addition, the third stage accessibility quality evaluation query is a query for confirming whether the distributed data among the data managed through the data quality management framework shown in FIG. 1 is integrated throughout the enterprise, and the data quality management framework shown in FIG. A query for checking whether the meta information managed through the user is shared with the user 120, a query for checking whether the integrated environment of the user 120 view managed through the data quality management framework shown in FIG. 1 is supported, Creating a value through a query to confirm whether to provide an active user 120 view managed through the data quality management framework shown in FIG. 1 and data managed through the data quality management framework shown in FIG. Characterized by including a query to determine whether to provide an environment for.

In addition, the fourth level accessibility quality evaluation query is a query for confirming whether to utilize the measurement index of the user 120 view managed through the data quality management framework shown in FIG. 1, and the data quality management shown in FIG. Characterized by including a query to determine whether to support the utilization pattern of the user 120 managed through the framework.

In addition, the fifth accessibility quality evaluation query is a query for confirming whether the user 120 is managed through the data quality management framework shown in FIG. 1 and the data quality management framework shown in FIG. Characterized by including a query to determine whether to optimize the utilization of the user 120 view managed through.

Thereafter, the information input unit 735 inputs (or selects) accessibility quality assessment information for each stage of maturity based on the accessibility quality assessment interface for each stage of maturity, and accesses quality assessment information for each stage of maturity. And transmits to the accessibility quality assessment module 715 via the interface means.

The information receiving unit 3010 inputs (or selects) predetermined accessibility quality evaluation information for each maturity level through the accessibility quality evaluation interface for each maturity level in the information input means 735 and transmits the same through the interface means. In connection with 3000, the accessibility quality evaluation information for each of the maturity level is received.

According to an embodiment of the present invention, when the accessibility quality evaluation procedure is performed online, the information verification means 740 may be a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (eg, Asymmetric Digital ADSL). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the accessibility quality assessment module 715 via Subscriber Line / Very High-Data Rate Digital Subscriber Line (VDSL) and / or Cable Network. A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network The information verification means 740 outputs at least one maturity level accessibility quality verification interface provided by the accessibility quality evaluation module 715, and at least one through the maturity level accessibility quality verification interface. A function configuration (eg, a browser program and a communication function) for inputting and / or selecting the accessibility quality verification information according to the above maturity levels and providing the same to the accessibility quality evaluation module 715 is preferably provided.

Those skilled in the art to which the present invention pertains can easily infer the features of the information verification means 740 corresponding to at least one or more wired terminals and / or wireless terminals, Is omitted for convenience.

When the information verifying means 740 is a wired terminal, the interface means includes the TCP / IP based wired network, and the information verifying means 740 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another embodiment of the present invention, when the accessibility quality evaluation procedure is performed offline, the information verifying means 740 corresponds to the accessibility quality evaluation logic provided with the accessibility quality evaluation module 715. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the accessibility quality evaluation procedure is performed online according to an embodiment of the present invention, the accessibility quality evaluation module 715 may provide the web interface corresponding to the information verification means 740 and the interface means. And an interface unit 3000 for connecting and managing the information verifying means 740 and a predetermined communication channel through an interface means, whereby the accessibility quality evaluation module 715 is provided with the information verifying means. 740 and a web server that are in communication with each other via a wired and / or wireless network.

Here, when the information verifying means 740 is a wired terminal to which a communication channel is connected through a TCP / IP based wired network, the interface unit 3000 is the information verifying means 740 and HTTP (Hyper-Text Transfer). A communication channel is connected based on a protocol, and an access quality verification interface and / or information for each stage of maturity in the form of a Hyper-Text Markup Language (HTML) compatible document is provided to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen, and receiving and processing predetermined maturity level accessibility quality verification information input (or selected) through the maturity level accessibility quality verification interface from the information verifying means 740.

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through a CDMA based wireless network, the interface unit 3000 may include the information verifying means 740 and a wireless application protocol (WAP) and / or the like. Or connecting a predetermined communication channel based on a ME (Mobile Explorer) protocol, and verifying accessibility quality according to maturity in the form of a Wireless Markup Language (WML) and / or HTML compatible document to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting an interface and / or an information providing screen and receiving and processing accessibility quality verification information corresponding to the maturity level corresponding to the maturity level accessibility quality verification interface from the information verifying means 740. .

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 3000 corresponds to the information verifying means 740 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output an access quality verification interface and / or an information providing screen according to a certain maturity level to the information verification means 740 through the communication channel, and output the information verification means. And receiving and processing the accessibility quality verification information corresponding to the maturity level corresponding to the accessibility quality verification interface according to the maturity level, and / or the information verifying means 740 is based on DataTAC / Mobitex. When the communication channel is connected to a wireless terminal through a wireless network, the interface unit 3000 may provide the information. Connecting a predetermined communication channel to the verification means 740 based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and accessing the quality verification interface according to a predetermined maturity level to the information verification means 740 through the communication channel; Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing accessibility quality verification information corresponding to the maturity level corresponding to the maturity level accessibility quality verification interface from the information verifying means 740.

According to another exemplary embodiment of the present invention, when the accessibility quality evaluation procedure is performed offline, the accessibility quality evaluation module 715 may evaluate enterprise-wide data quality that is operated based on the data quality management framework shown in FIG. It is preferable to include accessibility quality evaluation logic provided in the data quality evaluation institution in response to the business logic.

Referring to FIG. 30, when the accessibility quality evaluation information is provided according to the maturity level from the information input means 735, the accessibility quality evaluation module 715 works with the interface unit 3000 to verify the information verification means 740. An interface providing unit 3005 for generating (or extracting) a predetermined maturity level accessibility quality verification interface for inputting (or selecting) and transmitting the accessibility quality verification information for each predetermined maturity level, and the interface unit 3000. And an information receiving unit 3010 for receiving the accessibility quality verification information for each of the maturity levels, which is input (or selected) and transmitted through the accessibility quality verification interface for each of the maturity levels in conjunction with the information verification means 740. .

The interface providing unit 3005 inputs access quality verification information for each predetermined maturity level corresponding to a functional configuration (eg, a browser program provided in the information verifying means 740) provided in the information verifying means 740 (or Select) to generate a predetermined maturity level accessibility quality verification interface that can be transmitted to the accessibility quality evaluation module 715 through the interface means, and / or extract it from a predetermined database, and interwork with the interface unit 3000. And providing the generated (or extracted) maturity level accessibility quality verification interface to the information verification means 740 through the interface means.

According to an embodiment of the present invention, the accessibility quality verification interface according to the maturity level may include a predetermined examiner evaluating the data quality management maturity level for at least one or more outputs corresponding to at least one accessibility quality evaluation information corresponding to the maturity level. It is preferred to include a user 120 interface for checking the validity and input (or select) the accessibility quality verification information corresponding thereto.

Here, the at least one output corresponding to the first stage accessibility quality evaluation information is a table definition document corresponding to a query for checking whether distributed data among data managed through the data quality management framework shown in FIG. 1 can be queried. And a user 120 menu corresponding to a query for confirming whether to provide a view structure of the user 120 managed through the data quality management framework shown in FIG. 1. And a user (120) manual (or a screen related document) corresponding to a query for confirming whether the user (120) managed through the data quality management framework shown in FIG. 1 supports data utilization. It is done.

In addition, the at least one output corresponding to the second-stage accessibility quality evaluation information is a subject corresponding to a query for confirming whether there is a structure integrating distributed data among data managed through the data quality management framework shown in FIG. And an area definition document and / or a table definition document (or an ERD), and confirms whether the standardized configuration of the user 120 managed by the data quality management framework shown in FIG. And a screen standard document and / or a help screen (or a search screen, a survey form of the user 120, a search result output, etc.) corresponding to the query, and the data quality management frame shown in FIG. Does it support a manual for utilizing the data of the user 120 managed by the work? Data utilization training plan / result document (or training textbook) and / or user 120 manual corresponding to the query to be confirmed, and is managed through the data quality management framework shown in FIG. It is characterized in that it comprises a query output (or questionnaire) corresponding to the query to confirm whether to provide a data sharing environment.

In addition, the at least one output corresponding to the third-stage accessibility quality assessment information may include an EDW system corresponding to a query for confirming whether the distributed data among the data managed through the data quality management framework illustrated in FIG. And a meta system and / or user 120 manual corresponding to a query for checking whether the meta information managed through the data quality management framework shown in FIG. 1 is shared with the user 120. Or an educational textbook) and a portal system corresponding to a query for confirming whether the integrated environment of the user 120 view managed through the data quality management framework shown in FIG. 1 is supported. It characterized in that it comprises a KMS system, shown in Figure 1 Characterized in that comprises a user-120 manual (or survey) corresponding to the query to determine that they offer the active user 120 views managed by a data quality management framework.

In addition, at least one output corresponding to the fourth-stage accessibility quality evaluation information is measured in response to a query for confirming whether to utilize the measurement index of the user 120 view managed through the data quality management framework illustrated in FIG. And a pattern analysis result document (or screen) corresponding to a query for confirming whether or not the index definition document is supported and supporting whether the user 120 manages the utilization pattern through the data quality management framework shown in FIG. Reconstruction work result document).

Thereafter, the information verifying means 740 inputs (or selects) predetermined accessibility quality verification information for each maturity level based on the accessibility quality verification interface for each maturity level, and inputs the accessibility quality verification information for each of the entered (or selected) maturity levels. And transmits to the accessibility quality assessment module 715 via the interface means.

The information receiver 3010 inputs (or selects) predetermined accessibility quality verification information for each maturity level through the accessibility quality verification interface by the information verification means 740 and transmits it through the interface means. In connection with 3000, the accessibility quality verification information for each stage of maturity may be received.

Referring to FIG. 30, if the accessibility quality evaluation module 715 is provided with accessibility quality evaluation information according to maturity level from the information input means 735, and accessibility quality verification information is provided with maturity level from the information verification means 740. And an information checking unit 3015 for checking the accessibility maturity information for the data quality evaluation target by comparing the accessibility quality evaluation information for each maturity level and the accessibility quality verification information for each maturity level, and the identified accessibility maturity information and data quality evaluation target. And an information storage unit 3020 for linking and storing the information in a predetermined storage medium 730.

The information checking unit 3015 responds to all positive responses to at least one maturity step-by-step accessibility quality evaluation query included in the maturity step-by-step accessibility quality evaluation information from the information input unit 735 to the accessibility quality evaluation step by step of maturity. Response) is included.

If the accessibility quality assessment information for each of the maturity stages includes at least one or more positive responses to the accessibility quality assessment query for each stage of maturity, the information checking unit 3015 receives accessibility quality verification information for each stage of maturity from the information verifying means 740. And whether a total positive response is included in at least one or more maturity level accessibility quality verification queries included in the maturity level accessibility quality verification interface, and provided from the information input means 735. The accessibility quality assessment information for each of the maturity levels includes at least one overall positive response to the accessibility quality assessment query for each of the maturity levels, and at least one of the accessibility quality verification information for each of the maturity levels provided from the information verification means 740. In the case of containing the total positive response to the maturity stage accessibility Quality query, the information checking unit 3015 has determined that the data quality target is reached in the access quality control stage of maturity.

On the other hand, the accessibility quality assessment information of the maturity level includes at least one negative response, and / or the accessibility quality assessment information of the maturity level includes the overall positive response to the accessibility quality assessment query. When at least one negative response is included in the provided accessibility quality verification information according to the maturity level, the information checking unit 3015 indicates that the data quality evaluation target has not reached the accessibility quality management maturity level. Check it.

For example, when the first stage accessibility quality evaluation information includes the overall positive response to the at least one first stage accessibility quality evaluation query, the information checking unit 3015 may perform the first step from the information verifying means 740. Determining whether accessibility quality verification information includes an all positive response to at least one first level accessibility quality verification query included in the first level accessibility quality verification interface, and inputting the information. The first stage accessibility quality assessment information provided from the means 735 includes the entire positive response to at least one first stage accessibility quality assessment query, and the first stage accessibility quality verification information provided from the information verifying means 740. Responding to the at least one first stage accessibility quality assessment information in When the total positive response to at least one output validation is included, the information check unit 3015 confirms that the data quality evaluation target has reached the access quality management maturity introduction step.

However, the first stage accessibility quality assessment information includes at least one or more negative responses, and / or the first stage accessibility quality assessment information includes at least one overall positive for the first stage accessibility quality assessment query. If a response is included, but the at least one negative response is included in the provided first step accessibility quality verification information, the information checking unit 3015 introduces the accessibility quality management maturity to the data quality evaluation target. Confirm that the step has not been reached.

Alternatively, when the second level of accessibility quality evaluation information includes a total positive response to at least one second level of accessibility quality evaluation query, the information checking unit 3015 may perform a second step from the information verifying means 740. Determining whether accessibility quality verification information includes an all positive response to at least one second level accessibility quality verification query included in the second level accessibility quality verification interface, and inputting the information. The second stage accessibility quality assessment information provided from the means 735 includes the entire positive response to at least one second stage accessibility quality assessment query, and the second stage accessibility quality verification information provided from the information verifying means 740. At least one second stage of accessibility quality assessment information corresponding to When a total positive response to at least one output validation is included, the information checking unit 3015 confirms that the data quality evaluation target has reached a standardization stage of access quality management maturity.

However, the second stage accessibility quality assessment information includes at least one or more negative responses, and / or the overall positive for at least one second stage accessibility quality assessment query in the second stage accessibility quality assessment information. If a response is included, but the at least one negative response is included in the provided second-stage accessibility quality verification information, the information checking unit 3015 determines that the data quality evaluation target is the corresponding accessibility quality management maturity. Confirm that the step has not been reached.

Alternatively, when the third stage accessibility quality evaluation information includes the entire positive response to the at least one third stage accessibility quality evaluation query, the information checking unit 3015 may perform the third step from the information verifying means 740. Determining whether accessibility quality verification information includes an all positive response to at least one third level accessibility quality verification query included in the third level accessibility quality verification interface, and inputting the information. The third stage accessibility quality assessment information provided from the means 735 includes the entire positive response to at least one third stage accessibility quality assessment query, and the third stage accessibility quality verification information provided from the information verifying means 740. Corresponding to the at least one third level accessibility quality assessment information at When a total positive response to at least one output validity check is included, the information checking unit 3015 confirms that the data quality evaluation target has reached the accessibility quality management maturity integration step.

However, at least one negative response is included in the third level accessibility quality information, and / or at least one overall positive for the at least one third level accessibility quality query in the third level accessibility quality information. If a response is included, but the at least one negative response is included in the provided third level accessibility quality verification information, the information checking unit 3015 integrates the accessibility quality management maturity to the data quality evaluation target. Confirm that the step has not been reached.

Alternatively, when the fourth stage accessibility quality assessment information includes at least one or more positive responses to the fourth stage accessibility quality assessment query, the information checking unit 3015 may perform the fourth stage from the information verifying means 740. Determining whether accessibility quality verification information includes an all positive response to at least one or more fourth level accessibility quality verification queries included in the fourth level accessibility quality verification interface, and inputting the information. The fourth stage accessibility quality assessment information provided from the means 735 includes the overall positive response to at least one fourth stage accessibility quality assessment query, and the fourth stage accessibility quality verification information provided from the information verifying means 740. Corresponding to the at least one fourth step accessibility quality assessment information When a total positive response to at least one output validation is included, the information checking unit 3015 confirms that the data quality evaluation target has reached the corresponding access quality management maturity quantification step.

However, at least one negative response is included in the fourth level accessibility quality information, and / or at least one overall positive for the at least one fourth level accessibility quality query in the fourth level accessibility quality information. If a response is included, but the at least one negative response is included in the provided fourth level accessibility quality verification information, the information checking unit 3015 quantifies the access quality quality control maturity. Confirm that the step has not been reached.

Alternatively, when the fifth step of accessibility quality evaluation information includes a total positive response to at least one fifth step of accessibility quality evaluation query, the information checking unit 3015 performs a fifth step from the information verification means 740. Determining whether accessibility quality verification information includes an all positive response to at least one or more fifth level accessibility quality verification queries included in the fifth level accessibility quality verification interface, and inputting the information. The fifth stage accessibility quality assessment information provided from the means 735 includes the overall positive response to at least one fifth stage accessibility quality assessment query, and the fifth stage accessibility quality verification information provided from the information verifying means 740. Corresponding to the at least one fifth step accessibility quality assessment information When the entire positive response to at least one output validation is included, the information check unit 3015 confirms that the data quality evaluation target has reached the accessibility quality management maturity optimization step.

However, at least one negative response is included in the fifth level of accessibility quality information, and / or at least one overall positive for the at least one fifth level of accessibility quality evaluation query is included in the fifth level of accessibility quality information. When the response is included, but the at least one negative response is included in the provided fifth level accessibility quality verification information, the information checking unit 3015 may be further configured to optimize the accessibility quality management maturity. Confirm that the step has not been reached.

FIG. 31 is a diagram illustrating a process of evaluating maturity level of first step access quality assessment according to an embodiment of the present invention. FIG.

In more detail, FIG. 31 illustrates an access quality assessment module 715, an information input means 735 corresponding to at least one data quality management entity, and the accessibility quality assessment agent in the accessibility quality management maturity evaluation system shown in FIG. The information verification means 740 corresponding to the first step of the process of evaluating the first stage accessibility quality evaluation maturity for the data managed by the data quality management framework shown in Figure 1, the present invention belongs to Those skilled in the art may refer to and / or modify this drawing 31 to infer various implementation methods for assessing accessibility quality assessment maturity for evaluating accessibility quality assessment maturity. Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in FIG. 31, the accessibility quality evaluation module 715 on the accessibility quality management maturity evaluation system shown in FIG. 30 is referred to as an "evaluation module" for convenience.

Referring to FIG. 31, an evaluation module on the accessibility quality management maturity evaluation system illustrated in FIG. 30 includes a first stage accessibility including at least one first stage accessibility quality assessment query for evaluating the first stage accessibility quality assessment maturity. A quality assessment interface is generated (or extracted) (3100) and the first stage accessibility quality assessment interface is provided (3105) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, the at least one first accessibility quality assessment query included in the first accessibility quality assessment interface may include distributed data among data managed through the data quality management framework shown in FIG. A query for confirming whether a query can be queried, a query for checking whether a user 120 view structure managed through the data quality management framework shown in FIG. 1 is provided, and a data quality management framework shown in FIG. Characterized by including a query to determine whether to support the user 120 to be managed through the data utilization.

Thereafter, the information input means 735 inputs (or selects) at least one first stage accessibility quality assessment information corresponding to at least one first stage accessibility quality assessment query through the first stage accessibility quality assessment interface. (3110).

According to an embodiment of the present invention, the first stage accessibility quality assessment information may include any one of a positive response or a negative response to the first stage accessibility quality assessment query.

When all the first stage accessibility quality evaluation information corresponding to the first stage accessibility quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. The first step accessibility quality assessment information is provided (3115), and in response, the evaluation module checks whether the overall positive response to the first stage accessibility quality assessment information (3120).

If the overall positive response to the first level of accessibility quality assessment information is not verified (or at least one or more negative responses are identified) (3125), the evaluation module determines the accessibility quality management maturity level for the data quality assessment target. In step 3130, the access quality management maturity information for the data quality evaluation object and the data quality evaluation object information may be stored in a predetermined storage medium 730 in operation 3135.

On the other hand, when the overall positive response to the first stage accessibility quality assessment is confirmed (3125), the evaluation module may include at least one corresponding to at least one or more first stage accessibility quality verification information for evaluating the first stage accessibility quality verification maturity. Generate (or extract) a first level accessibility quality verification interface for checking the validity of the output and inputting (or selecting) the first level accessibility quality verification information corresponding thereto (3140), and through a predetermined interface means. The information verifying means 740 provides the first step access quality verification interface (3145).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the first step accessibility quality verification information, and then at least corresponding to the validity checking result through the first step accessibility quality verification interface. Input (or select) one or more first stage accessibility quality verification information (3150).

According to an embodiment of the present invention, at least one output corresponding to the first-stage accessibility quality evaluation information may determine whether distributed data among data managed through the data quality management framework shown in FIG. And a table definition document corresponding to the query, wherein the user 120 corresponding to the query confirms whether to provide a view structure managed by the user 120 through the data quality management framework illustrated in FIG. And a menu, wherein the user 120 manual (or screen related document) corresponding to a query for confirming whether the user 120 supports the utilization of data managed through the data quality management framework shown in FIG. It is characterized by comprising a).

According to an embodiment of the present invention, the first stage accessibility quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to the at least one first stage accessibility quality assessment information. It is preferable to comprise a.

When all of the first stage accessibility quality verification information is input (or selected), the information verifying means 740 provides the first stage accessibility quality verification information input (or selected) to the evaluation module through the interface means. In response to the 3155, the evaluation module determines whether the overall positive response to the validation result of at least one output corresponding to the at least one first stage accessibility quality evaluation information corresponds to the first stage accessibility quality verification information. (3160).

If the overall positive response to the first level of accessibility quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one first level of accessibility quality assessment information is not verified) (3165), The evaluation module checks the accessibility quality management maturity level of the data quality evaluation target in the 0th step (3130), and links the level 0 accessibility quality management maturity information of the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (3135).

On the other hand, when the overall positive response to the first stage accessibility quality assessment is confirmed (eg, when validity of all the outputs corresponding to all the first stage accessibility quality assessment information is confirmed) (3165), the evaluation module performs the second stage. Access Quality Assessment The process of evaluating maturity.

32 is a diagram illustrating a process of evaluating maturity level 2 of accessibility evaluation according to an embodiment of the present invention.

In more detail, FIG. 32 is an access quality assessment module 715 on the accessibility quality management maturity evaluation system shown in FIG. 30, information input means 735 corresponding to at least one data quality management subject, and the access quality assessment subject. The information verification means corresponding to the step 740 is a process for evaluating the maturity of the second stage accessibility quality assessment for the data managed by the data quality management framework shown in Figure 1, the present invention belongs to Those skilled in the art will be able to infer various implementation methods for assessing access quality assessment maturity for evaluating access quality assessment maturity by referring to and / or modifying this drawing 32, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in FIG. 32, the accessibility quality evaluation module 715 on the accessibility quality management maturity evaluation system shown in FIG. 30 is referred to as an "evaluation module" for convenience.

Referring to FIG. 32, the evaluation module on the accessibility quality management maturity rating system shown in FIG. 30 includes a second level accessibility including at least one second level accessibility quality assessment query for evaluating the second level accessibility quality assessment maturity. A quality assessment interface is generated (or extracted) (3200), and the second stage accessibility quality assessment interface is provided (3205) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one second accessibility quality assessment query included in the second accessibility quality assessment interface may be configured to distribute distributed data among data managed through the data quality management framework illustrated in FIG. A query for checking whether an integrated structure exists, a query for checking whether the user 120 screen configuration managed through the data quality management framework shown in FIG. 1 is provided and standardized, and the data quality shown in FIG. Query to confirm whether to support the manual for data utilization of the user 120 managed through the management framework, and query to confirm whether to provide a data sharing environment managed through the data quality management framework shown in FIG. It is characterized by comprising.

Thereafter, the information input means 735 inputs (or selects) at least one or more second stage accessibility quality assessment information corresponding to at least one or more second stage accessibility quality assessment queries through the second stage accessibility quality assessment interface. (3210).

According to an embodiment of the present invention, the second stage accessibility quality assessment information may include any one of a positive response or a negative response to the second stage accessibility quality assessment query.

When all the second stage accessibility quality evaluation information corresponding to the second stage accessibility quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 3220, the controller may provide the second stage accessibility quality assessment information, and the evaluation module may determine whether the overall positive response to the second stage accessibility quality assessment information is determined (3220).

If the overall positive response to the second-level accessibility quality assessment information is not verified (or at least one negative response is identified) (3225), the evaluation module determines the accessibility quality management maturity level for the data quality assessment target. In operation 1230, the first stage accessibility quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (3235).

On the other hand, if the overall positive response to the second-level accessibility quality assessment is confirmed (3225), the evaluation module includes at least one corresponding to at least one or more second-level accessibility quality verification information for evaluating the second-level accessibility quality verification maturity level. A second step accessibility quality verification interface for checking the validity of the output and inputting (or selecting) second level accessibility quality verification information corresponding thereto (3240) is generated, and through a predetermined interface means. In operation 3245, the information verifying means 740 provides the second accessibility quality verification interface.

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the second stage accessibility quality verification information, and then at least corresponding to the validation result through the second stage accessibility quality verification interface. Input (or select) one or more second stage accessibility quality verification information (3250).

According to an embodiment of the present invention, whether the at least one output corresponding to the second stage accessibility quality evaluation information has a structure in which distributed data among data managed through the data quality management framework shown in FIG. And a subject area definition document and / or a table definition document (or ERD) corresponding to the query to be checked, and the user 120 screen configuration managed through the data quality management framework shown in FIG. A standard document and / or a help screen (or a search screen, a survey form of the user 120, a search result output, etc.) corresponding to a query for confirming that the information is standardized and provided. Data activity of users 120 managed through the data quality management framework shown in Data utilization corresponding to the query to confirm whether the manual for supporting the training plan / result document (or training materials) and / or user 120 manual, characterized in that the data quality management shown in Figure 1 Including a query output (or questionnaire) corresponding to the query to confirm whether to provide a data sharing environment managed through the framework.

According to an embodiment of the present invention, the second stage accessibility quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more second stage accessibility quality evaluation information. It is preferable to comprise a.

When all of the second stage accessibility quality verification information is input (or selected), the information verifying means 740 provides the second stage accessibility quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of at least one output corresponding to at least one second stage accessibility quality assessment information corresponds to the second stage accessibility quality verification information. (3260).

If the overall positive response to the second level accessibility quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one second level accessibility quality assessment information is not verified) (3265), The evaluation module checks the access quality management maturity level of the data quality evaluation target as the first step (3230), and links the first level access quality management maturity information of the data quality evaluation target to the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (3235).

On the other hand, if the overall positive response to the second-level accessibility quality assessment is confirmed (eg, when validity of all the outputs corresponding to all the second-level accessibility quality assessment information is verified) (3265), the evaluation module performs the third stage. Access Quality Assessment The process of evaluating maturity.

FIG. 33 is a diagram illustrating a process of evaluating maturity level 3 of accessibility according to an embodiment of the present invention. FIG.

In more detail, FIG. 33 illustrates an access quality assessment module 715 on the accessibility quality management maturity evaluation system illustrated in FIG. 30, information input means 735 corresponding to at least one data quality management subject, and the access quality assessment subject. The process of evaluating the third stage accessibility quality evaluation maturity level for the data managed by the data quality management framework shown in Figure 1 in cooperation with each other, the information verification means 740 corresponding to the Those skilled in the art may refer to and / or modify this drawing 33 to infer various implementation methods for assessing access quality assessment maturity for evaluating accessibility assessment maturity, but the present invention. Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in FIG. 33, the accessibility quality evaluation module 715 on the access quality management maturity evaluation system shown in FIG. 30 is referred to as an "evaluation module" for convenience.

Referring to FIG. 33, the evaluation module on the accessibility quality management maturity evaluation system illustrated in FIG. 30 includes a third level accessibility including at least one third level accessibility quality assessment query for evaluating the third level accessibility quality maturity. A quality assessment interface is generated (or extracted) (3300) and the third stage accessibility quality assessment interface is provided (3305) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, the at least one third level accessibility quality query included in the third level accessibility quality evaluation interface may be configured to distribute distributed data among data managed through the data quality management framework shown in FIG. A query for checking whether it is integrated throughout the enterprise, a query for checking whether the meta information managed through the data quality management framework shown in FIG. 1 is shared with the user 120, and the data quality management framework shown in FIG. A query for confirming whether to support the integrated environment of the user 120 managed through the query, a query for checking whether the active user 120 is managed through the data quality management framework illustrated in FIG. Creating value through data managed through the data quality management framework shown in FIG. Characterized in that it comprises a query to determine whether to provide an environment for.

Thereafter, the information input means 735 inputs (or selects) at least one or more third level accessibility quality evaluation information corresponding to at least one or more third level accessibility quality query through the third level accessibility quality evaluation interface. (3310).

According to an embodiment of the present invention, the third stage accessibility quality assessment information may include any one of a positive response or a negative response to the third stage accessibility quality assessment query.

When all of the third level accessibility quality information corresponding to the third level accessibility quality query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. The third stage accessibility quality assessment information is provided (3315), and in response, the evaluation module checks whether the overall positive response to the third stage accessibility quality assessment information (3320).

If the overall positive response to the third-level accessibility quality assessment information is not verified (or at least one negative response is identified) (3325), the evaluation module determines the accessibility quality management maturity level for the data quality assessment target. In operation 2330, the second stage accessibility quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (3335).

On the other hand, if the overall positive response to the third stage accessibility quality assessment is confirmed (3325), the evaluation module corresponds to at least one corresponding to at least one or more third stage accessibility quality verification information for evaluating the third stage accessibility quality verification maturity level. A third stage accessibility quality verification interface for verifying the validity of the above output and inputting (or selecting) corresponding third stage accessibility quality verification information is generated (or extracted) (3340) through a predetermined interface means. The information verifying means 740 provides the third step access quality verification interface (3345).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the third level accessibility quality verification information, and then at least corresponding to the validation result through the third level accessibility quality verification interface. Input (or select) one or more third stage accessibility quality verification information (3350).

According to an embodiment of the present invention, at least one output corresponding to the third-stage accessibility quality evaluation information may be configured to determine whether enterprise-wide integration of distributed data among data managed through the data quality management framework shown in FIG. And an EDW system corresponding to the query, wherein the meta system corresponding to the query confirming whether the meta information managed through the data quality management framework shown in FIG. 1 is shared with the user 120; Or a user (120) manual (or educational textbook), and a query for confirming whether to support the integrated environment of the user 120 view managed through the data quality management framework shown in FIG. Characterized in that it comprises a corresponding portal system and / or a KMS system. And a user (120) manual (or questionnaire) corresponding to a query for confirming whether to provide an active user 120 view managed through the data quality management framework shown in FIG. 1. It is done.

According to an embodiment of the present invention, the third level accessibility quality verification information may be any one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more third level accessibility quality evaluation information. It is preferable to comprise a.

When all of the third stage accessibility quality verification information is input (or selected), the information verifying means 740 provides the third stage accessibility quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one third level accessibility quality assurance information corresponds to the third level accessibility quality verification information. (3360).

If the overall positive response to the third level accessibility quality verification information is not verified (eg, the validity of at least one or more outputs corresponding to the at least one third level accessibility quality assessment information is not verified) (3365), The evaluation module checks the access quality management maturity level of the data quality evaluation target as the second stage (3330), and links the second level access quality management maturity information of the data quality evaluation target to the data quality evaluation target information. The process then stores the data in a predetermined storage object 730 (3335).

On the other hand, if the overall positive response to the third-level accessibility quality assessment is confirmed (eg, if validity of all the outputs corresponding to all the third-level accessibility quality assessment information is confirmed) (3365), the evaluation module performs the fourth stage. Access Quality Assessment The process of evaluating maturity.

34 is a diagram illustrating a process of evaluating maturity level 4 access quality assessment according to an embodiment of the present invention.

In more detail, FIG. 34 illustrates an access quality assessment module 715, an information input means 735 corresponding to at least one data quality management entity, and the accessibility quality assessment agent on the accessibility quality management maturity evaluation system shown in FIG. A process for evaluating a fourth stage accessibility quality assessment maturity level for data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 34 to infer various implementation methods for assessing access quality assessment maturity for evaluating accessibility assessment maturity, but the present invention. Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in FIG. 34, an access quality evaluation module 715 on the access quality management maturity evaluation system shown in FIG. 30 is referred to as an "evaluation module" for convenience.

Referring to FIG. 34, an evaluation module on the accessibility quality management maturity evaluation system illustrated in FIG. 30 includes a fourth level accessibility including at least one fourth level accessibility quality assessment query for evaluating the fourth level accessibility quality assessment maturity. A quality assessment interface is generated (or extracted) (3400) and the fourth step accessibility quality assessment interface is provided (3405) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, at least one fourth level accessibility quality query included in the fourth level accessibility quality evaluation interface is managed through the data quality management framework shown in FIG. And a query for confirming whether to use the measurement index of and a query for confirming whether to support the utilization pattern of the user 120 managed through the data quality management framework shown in FIG. 1.

Thereafter, the information input means 735 inputs (or selects) at least one or more fourth stage accessibility quality assessment information corresponding to at least one or more fourth stage accessibility quality assessment queries through the fourth stage accessibility quality assessment interface. (3410).

According to an embodiment of the present invention, the fourth stage accessibility quality assessment information may include any one of a positive response or a negative response to the fourth stage accessibility quality assessment query.

When all of the fourth-stage accessibility quality evaluation information corresponding to the fourth-stage accessibility quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 4420, the controller may provide the fourth stage accessibility quality assessment information (3415), and the evaluation module may check whether the overall positive response to the fourth stage accessibility quality assessment information is 3420.

If the overall positive response to the fourth-stage accessibility quality assessment information is not confirmed (or at least one negative response is identified) (3425), the evaluation module determines the accessibility quality management maturity level for the data quality assessment target. In step 3430, the third step accessibility quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (3435).

On the other hand, if the overall positive response to the fourth stage accessibility quality assessment is confirmed (3425), the evaluation module may include at least one corresponding to at least one fourth stage accessibility quality verification information for evaluating the fourth stage accessibility quality verification maturity level. A fourth step accessibility quality verification interface for checking the validity of the output and inputting (or selecting) corresponding fourth level accessibility quality verification information is generated (or extracted) (3440) through a predetermined interface means. In operation 3445, the information verifying means 740 provides the fourth accessibility quality verification interface.

Thereafter, the information verifying means 740 confirms the validity of the at least one output corresponding to the fourth level accessibility quality verification information, and then at least corresponding to the validity verification result through the fourth level accessibility quality verification interface. Input (or select) one or more fourth stage accessibility quality verification information (3450).

According to an embodiment of the present invention, whether the at least one output corresponding to the fourth stage accessibility quality evaluation information utilizes a measurement index of the user 120 view managed through the data quality management framework shown in FIG. And a measurement index definition document corresponding to the query to check, and correspond to a query to check whether the user supports the utilization pattern of the user 120 managed through the data quality management framework shown in FIG. And a pattern analysis result document (or a screen reconstruction work result document).

According to an embodiment of the present invention, the fourth step accessibility quality verification information may be any one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more fourth step accessibility quality evaluation information. It is preferable to comprise a.

When all of the fourth level accessibility quality verification information is input (or selected), the information verifying means 740 provides the fourth level accessibility quality verification information input (or selected) to the evaluation module through the interface means. In operation 3455, the evaluation module determines whether the overall positive response to the result of validating at least one output corresponding to the at least one fourth level accessibility quality information corresponds to the fourth level accessibility quality verification information. (3460).

If the overall positive response to the fourth level accessibility quality verification information is not verified (eg, the validity of at least one or more outputs corresponding to the at least one fourth level accessibility quality assessment information is not verified) (3465), The evaluation module checks the access quality management maturity level of the data quality evaluation target in a third step (3430), and links the third level access quality management maturity information of the data quality evaluation target with the data quality evaluation target information. Processing is stored in a predetermined storage medium 730 (3435).

On the other hand, when the overall positive response to the fourth stage accessibility quality assessment is confirmed (eg, when validity of all the outputs corresponding to all the fourth stage accessibility quality assessment information is confirmed) (3465), the evaluation module performs the fifth stage. Access Quality Assessment The process of evaluating maturity.

35 is a diagram illustrating a process of evaluating a fifth stage of access quality assessment maturity according to an embodiment of the present invention.

In more detail, FIG. 35 illustrates an access quality assessment module 715, an information input means 735 corresponding to at least one data quality management entity, and the accessibility quality assessment agent in the accessibility quality management maturity evaluation system shown in FIG. A process for evaluating a fifth step accessibility quality assessment maturity level for data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 35 to infer various implementation methods for evaluating accessibility assessment maturity for evaluating accessibility assessment maturity, but the present invention. Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in FIG. 35, the accessibility quality evaluation module 715 on the accessibility quality management maturity evaluation system shown in FIG. 30 is referred to as an "evaluation module" for convenience.

Referring to FIG. 35, the evaluation module on the accessibility quality management maturity rating system shown in FIG. 30 includes a fifth level accessibility including at least one fifth level accessibility quality assessment query for evaluating the fifth level accessibility quality assessment maturity. A quality assessment interface is generated (or extracted) (3500) and the fifth step accessibility quality assessment interface is provided (3505) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, at least one fifth level accessibility quality query included in the fifth level accessibility quality evaluation interface is managed through the data quality management framework shown in FIG. And a query for checking whether to optimize the utilization of the user 120 view managed through the data quality management framework shown in FIG. 1.

Thereafter, the information input means 735 inputs (or selects) at least one or more fifth level accessibility quality evaluation information corresponding to at least one or more fifth level accessibility quality evaluation query through the fifth level accessibility quality evaluation interface. (3510).

According to an embodiment of the present invention, the fifth step of accessibility quality evaluation information may include any one of a positive response or a negative response to the fifth step of accessibility quality evaluation query.

When all of the fifth level accessibility quality evaluation information corresponding to the fifth level accessibility quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 3520, the controller may provide the fifth stage accessibility quality evaluation information, and in response, the evaluation module may check whether the overall positive response to the fifth stage accessibility quality evaluation information is determined (3520).

If the overall positive response to the fifth level of accessibility quality assessment information is not confirmed (or at least one or more negative responses are identified) (3525), the evaluation module determines the accessibility quality management maturity level for the data quality assessment target. In step 4530, the access quality control maturity information of the fourth step access quality management target information and the data quality evaluation target information are stored in a predetermined storage medium 730 in operation 3535.

On the other hand, if the overall positive response to the fifth stage of accessibility quality evaluation is confirmed (3525), the evaluation module may include at least one corresponding to at least one or more fifth stage of accessibility quality verification information for evaluating the fifth stage of accessibility quality verification maturity. Generate (or extract) a fifth level accessibility quality verification interface for checking the validity of the output and inputting (or selecting) the fifth level accessibility quality verification information corresponding thereto (3540), and through a predetermined interface means. The fifth step of accessibility quality verification interface is provided to the information verification means 740 (3545).

Thereafter, the information verifying means 740 confirms the validity of the at least one output corresponding to the fifth step of accessibility quality verification information, and at least corresponding to the validation result through the fifth step of accessibility quality verification interface. Input (or select) one or more fifth level accessibility quality verification information (3550).

According to an embodiment of the present invention, the fifth step accessibility quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more fifth step accessibility quality evaluation information. It is preferable to comprise a.

When all of the fifth level accessibility quality verification information is input (or selected), the information verifying means 740 provides the fifth level accessibility quality verification information input (or selected) to the evaluation module through the interface means. In response (3555), the evaluation module checks whether the overall positive response to the validation result of the at least one output corresponding to the at least one fifth level accessibility quality evaluation information corresponds to the fifth level accessibility quality verification information. (3560).

If the overall positive response to the fifth level accessibility quality verification information is not verified (eg, the validity of at least one or more outputs corresponding to the at least one fifth level accessibility quality assessment information is not verified) (3565), The evaluation module checks the access quality management maturity level of the data quality evaluation target in a fourth step (3530), and links the fourth level access quality management maturity information of the data quality evaluation target to the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (3535).

On the other hand, if the overall positive response to the fifth level of accessibility quality is confirmed (eg, when validity of all the outputs corresponding to all the fifth level of accessibility quality information is confirmed) (3565), the evaluation module determines the data quality. In step 5570, the access quality management maturity level of the evaluation target is checked (3570), and the fifth step of access quality management maturity information of the data quality evaluation target is linked to the data quality evaluation target information. 730) (3575).

36 illustrates interrelationships between data quality management processes for evaluating timeliness quality control maturity for data quality management in accordance with an embodiment of the present invention.

More specifically, FIG. 36 illustrates data quality management for evaluating timeliness maturity based on timeliness data quality criteria shown in FIG. 3 for data that is managed enterprise-wide based on the data quality management framework shown in FIG. A diagram illustrating the interrelationship between processes.

Of the data quality criteria shown in FIG. 3, the timeliness is a quality criterion that indicates how appropriately the non-functional requirements (response time, execution speed, etc.) and the requirements such as the freshness of the data are coped with.

Referring to FIG. 36, the data quality management process for evaluating timeliness maturity according to the timeliness data quality criteria shown in FIG. 3 of the data quality management process shown in FIG. 6 includes requirements management (non-functional management) and data. Flow management (flow cycle management), database management (performance management) and the like.

Here, the requirements management (non-functional management) process is a process for managing non-functional requirements such as processing time, response time, data provision cycle, etc. in addition to the content requirements of the work, and data flow management (flow cycle management) process It is a process that manages execution time, execution cycle, etc. for data flow from source to target. Database management (performance management) process refers to the process of monitoring data processing tasks and performing tasks such as tuning to optimize performance.

According to an embodiment of the present invention, timeliness quality control maturity is defined based on data quality management maturity illustrated in FIG. 5 as follows.

The first stage of timeliness quality control maturity is an introduction stage, in which a non-functional requirement is defined, in which user 120 requirements are collected and documented, and a process of confirming the requirements between stakeholders is performed. In addition, the status of response to requirements is identified so that the status of the requirements is recorded. Schedule management of the basic data flow is carried out to ensure that the results of implementation are periodically identified and acted upon.

The second stage of timeliness quality management maturity is the formalization stage, in which the response process of requirements is formalized, the data flow cycle is coordinated, and the role and responsibility of the organization for timeliness management is defined. Requirements gathering and verification procedures are established and work is performed to schedule and respond to requirements and periodically tune the operating system. The cycle of data flow is clearly defined so that items such as data analysis cycle, deadline, and summary level are documented and managed, and the post-production of the flow is coordinated.

The third stage of timeliness quality control maturity is an integration stage, in which resources for response to requirements are allocated and resource allocation plans are established and implemented according to priorities. Data flow is managed across the enterprise, roles and responsibilities are clearly defined, and professional responses to non-functional requirements are made.

The fourth step of timeliness quality management maturity is a quantification step, in which a quantitative goal for data quality is given to an organization member and a cyclical measure is applied by measuring metrics. Based on the measurement results, the non-functional requirement response knowledge is systematically classified and knowledged, and the role and responsibility are adjusted as necessary. From a company-wide perspective, the shift from qualitative management to quantitative management and quality performance is clearly measured and knowledgeable.

The fifth step of the timeliness of quality control maturity is the optimization phase, which continuously finds improvement factors, optimizes performance by tuning and redistributing resources, removes the causes of unnecessary flow in data flow, and identifies technology trends for performance improvement. And apply it.

37 is a diagram showing the timeliness quality control maturity evaluation system configuration for evaluating timeliness quality evaluation maturity according to the method of the present invention.

More specifically, FIG. 37 is managed on a company-wide basis based on the data quality management framework shown in FIG. 1 according to the timeliness data quality criteria shown in FIG. 3 and the timeliness quality management process correlation shown in FIG. The present invention relates to a system configuration for evaluating timeliness quality control maturity for existing data. Those skilled in the art may refer to and / or modify this drawing 37 to evaluate timeliness quality evaluation maturity. Various implementation methods for timely quality management maturity evaluation system configuration can be inferred, but the present invention includes all the implementation methods inferred above, and is not limited to the implementation method shown in FIG.

Hereinafter, on the timeliness quality management maturity evaluation system shown in FIG. 37, an information input means 735 corresponding to a quality control agent on the data quality management system shown in FIG. 2 provides a timeliness quality evaluation interface for each stage of maturity. Correspondingly, the information input means 735 receives the timeliness quality evaluation information for each stage of maturity, and the information verifying means 740 for verifying the timeliness quality assessment information for each stage of maturity provides a timeliness quality verification interface for each stage of maturity, and responds thereto. After receiving the timely quality verification information for each stage of maturity from the information verification means 740, and compares and authenticates the timeliness quality evaluation information for each stage of maturity and timeliness quality verification information for each stage of maturity, the data quality management shown in FIG. Based on the framework The subject of evaluating the timeliness of the data quality management maturity is managed privately called "timeliness quality evaluation module (720)."

Referring to this figure 37 in accordance with an embodiment of the present invention, the timeliness quality control maturity evaluation system for evaluating timeliness quality assessment maturity corresponds to at least one data quality management entity shown in FIG. Information input means 735 for inputting at least one timeliness quality evaluation information corresponding to at least one maturity stage according to the maturity level, corresponding to the data quality evaluation subject, and inputted through the information input means 735. Information verification means 740 for checking the output corresponding to the timeliness quality evaluation information according to the maturity level and inputting the at least one maturity quality verification information corresponding to the at least one maturity level timeliness quality verification interface, and the information input means Last name entered via 735 Timeliness for each stage of maturity is compared with the quality evaluation information for each stage of maturity inputted through the information verification means 740, and the timeliness of the data managed throughout the enterprise based on the data quality management framework shown in FIG. And a timeliness quality evaluation module 720 for evaluating the quality management maturity level. The information input means 735, the information verification means 740, and the timeliness quality evaluation module 720 include a predetermined interface means. It is characterized by interworking through.

When the timeliness quality evaluation procedure is performed online according to an embodiment of the present invention, the information input means 735 is a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (eg, Asymmetric Digital). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the timeliness quality assessment module 720 via a Subscriber Line / VDSL (Very High-data Rate Digital Subscriber Line) and / or a Cable Communications Network (VDSL) A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network The information input means 735 outputs at least one maturity quality evaluation interface for each stage of maturity provided by the timeliness quality evaluation module 720, and at least one of the maturity stages for timeliness quality evaluation interface. A function configuration (eg, a browser program and a communication function) for inputting and / or selecting the timeliness quality evaluation information according to the above maturity levels and providing the selected timeliness quality evaluation module 720 may be provided.

Those skilled in the art to which the present invention pertains can easily infer the characteristics of the information input means 735 corresponding to at least one or more wired terminals and / or wireless terminals. Is omitted for convenience.

When the information input means 735 is a wired terminal according to an embodiment of the present invention, the interface means includes the TCP / IP-based wired network, and the information input means 735 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another embodiment of the present invention, when the timeliness quality evaluation procedure is performed offline, the information input means 735 corresponds to the timeliness quality evaluation logic provided with the timeliness quality evaluation module 720. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the timeliness quality assessment procedure is performed online according to an embodiment of the present invention, the timeliness quality assessment module 720 provides the web interface corresponding to the information input means 735 and the interface means. And an interface unit 3700 for connecting and managing the information input means 735 and a predetermined communication channel through an interface means, whereby the timeliness quality evaluation module 720 includes the information input means. 735 and a web server that is communicatively connected via wired and / or wireless network.

Here, when the information input means 735 is a wired terminal to which a communication channel is connected through a TCP / IP based wired network, the interface unit 3700 may include the information input means 735 and Hyper-Text Transfer. Protocol Connect a predetermined communication channel based on a protocol, and provide a timely quality evaluation interface and / or information for each stage of maturity in the form of a Hyper-Text Markup Language (HTML) compatible document to the information input means 735 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen and receiving and processing timeliness quality evaluation information, which is input (or selected) from the information input means 735 through the timeliness quality evaluation interface for each maturity level.

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through a CDMA-based wireless network, the interface unit 3700 may include the information input means 735 and a wireless application protocol (WAP) and / or the like. Or connecting a predetermined communication channel based on a mobile explorer (ME) protocol, and assessing timeliness quality according to maturity level in the form of Wireless Markup Language (WML) and / or HTML compatible document to the information input means 735 through the communication channel. It is preferable to perform a function of transmitting and outputting an interface and / or an information providing screen and receiving and processing timely quality evaluation information corresponding to the maturity level corresponding to the maturity level timeliness quality evaluation interface from the information input means 735. .

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 3700 may correspond to the information input means 735 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output a timeliness quality evaluation interface and / or an information providing screen according to a certain maturity level to the information input means 735 through the communication channel, and output the information input means. It is preferable to perform the function of receiving and processing the timeliness quality assessment information of the predetermined maturity stages corresponding to the timeliness quality assessment interface of the maturity stages, and / or the information input means 735 is based on DataTAC / Mobitex When the communication channel is connected through a wireless network, the interface unit 3700 may provide the information. A time communication quality evaluation interface connected to an input means 735 and a predetermined communication channel based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and to the information input means 735 through the communication channel. Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing timely quality evaluation information corresponding to the maturity level corresponding to the maturity level timeliness quality evaluation interface from the information input means 735.

When the timeliness quality evaluation procedure is performed offline according to another embodiment of the present invention, the timeliness quality evaluation module 720 is enterprise data quality evaluation that is operated based on the data quality management framework shown in FIG. It is desirable to include timeliness quality assessment logic provided in the data quality assessment institution in response to the business logic.

Referring to FIG. 37, the timeliness quality evaluation module 720 interworks with the interface unit 3700 to input (or select) and transmit timely quality evaluation information according to a predetermined maturity level by the information input unit 735. An interface providing unit 3705 for generating (or extracting) a timeliness quality evaluation interface for each predetermined maturity level, and the information input unit 735 provides a timeliness quality evaluation interface for the maturity level for each maturity step in conjunction with the interface unit 3700. And an information receiving unit 3010 for receiving timely quality evaluation information for each stage of maturity transmitted through input (or selection).

The interface providing unit 3705 inputs timely quality evaluation information according to a predetermined maturity level in response to a functional configuration (eg, a browser program provided in the information input unit 735) provided in the information input unit 735 (or Select) to generate a timeliness quality assessment interface of predetermined maturity level that can be transmitted to the timeliness quality assessment module 720 through the interface means, and / or extract from a predetermined database, and interwork with the interface unit 3700. To provide the information input means 735 through the interface means with a timely quality evaluation interface of the generated (or extracted) maturity stages.

According to an embodiment of the present invention, the timeliness quality evaluation interface according to the maturity stage may input (or select) at least one timeliness quality assessment query corresponding to the maturity stage and timeliness quality assessment information corresponding to each timeliness quality assessment query. It is preferable that the user 120 comprises an interface.

Here, the first step timeliness quality evaluation query is a query for confirming whether a non-functional requirement for data managed through the data quality management framework shown in FIG. 1 is defined, and the data quality management framework shown in FIG. And a query to confirm whether schedule management is performed on the data managed through the system, and a query to check whether the problem of the non-functional requirements for the data managed through the data quality management framework shown in FIG. 1 is identified. It is characterized by.

In addition, the second stage timeliness quality evaluation query is a query for confirming that the non-functional requirements for data managed through the data quality management framework shown in FIG. 1 are formalized, and the data quality management framework shown in FIG. And a query for checking whether to manage the data flow cycle managed through the system, and a query for checking whether the data flow is systematically corresponding to the non-functional requirements for the data managed through the data quality management framework shown in FIG. It is done.

In addition, the third step timeliness quality evaluation query is a query for confirming that the non-functional requirements for the data managed through the data quality management framework shown in FIG. 1 are integrated throughout the enterprise, and the data quality management shown in FIG. Experts are used to respond to queries that manage the data flow cycle across the enterprise for data managed through the framework, and to respond to non-intelligent requirements for data managed through the data quality management framework shown in FIG. It is characterized by including a query to check whether.

In addition, the fourth step timeliness quality evaluation query is a query for confirming whether a corresponding knowledge of non-functional requirements for data managed through the data quality management framework shown in FIG. 1 is accumulated, and the data quality shown in FIG. Characterized by including a query to confirm whether to perform monitoring using the data measurement index managed through the management framework.

In addition, the fifth step timeliness quality evaluation query is a query for confirming whether the technology trends for the data managed through the data quality management framework shown in FIG. 1 is identified and applied, and the data quality management frame shown in FIG. It includes a query to check whether to optimize the data flow cycle managed through the walk.

Thereafter, the information input unit 735 inputs (or selects) timeliness quality evaluation information for each stage of maturity based on the timeliness quality evaluation interface for each stage of maturity, and inputs the input (or selected) timeliness quality assessment information for each stage of maturity. Send to the timeliness quality assessment module 720 via the interface means.

The information receiving unit 3010 inputs (or selects) timeliness quality evaluation information for each stage of maturity through the interface means when the information input unit 735 receives (or selects) timeliness quality evaluation information for each stage of maturity, and transmits it through the interface unit. In connection with the 3700, it is characterized in that to receive the timeliness quality evaluation information for each stage of maturity.

When the timeliness quality evaluation procedure is performed online according to an embodiment of the present invention, the information verification means 740 is a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (eg, Asymmetric Digital ADSL). At least one wired terminal including a desktop computer and / or a laptop that is in communication with the timeliness quality assessment module 720 via a Subscriber Line / VDSL (Very High-data Rate Digital Subscriber Line) and / or a Cable Communications Network (VDSL) A mobile communication terminal connected to a mobile communication network based on and / or code division multiple access (CDMA), and / or a mobile Internet terminal connected to a high-speed wireless Internet based on IEEE 802.16, and / or a DataTAC / Mobitex-based At least one wireless terminal including at least one wireless data communication terminal connected to a wireless data communication network The information verifying means 740 outputs at least one maturity level timeliness quality verification interface provided by the timeliness quality evaluation module 720 and at least one of the timeliness quality verification interfaces. A function configuration (eg, a browser program and a communication function) for inputting and / or selecting the timeliness quality verification information according to the above maturity level and providing the timeliness quality verification module 720 to the timeliness quality evaluation module 720 is preferably provided.

Those skilled in the art to which the present invention pertains can easily infer the features of the information verification means 740 corresponding to at least one or more wired terminals and / or wireless terminals, Is omitted for convenience.

When the information verifying means 740 is a wired terminal, the interface means includes the TCP / IP based wired network, and the information verifying means 740 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another exemplary embodiment of the present invention, when the timeliness quality evaluation procedure is performed offline, the information verifying means 740 corresponds to the timeliness quality evaluation logic provided with the timeliness quality evaluation module 720. It is desirable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the timeliness quality evaluation procedure is performed online according to an embodiment of the present invention, the timeliness quality evaluation module 720 is configured to provide a web interface corresponding to the information verification means 740 and the interface means. And an interface unit 3700 for connecting and managing the information verifying means 740 and a predetermined communication channel through an interface means, whereby the timeliness quality evaluation module 720 includes the information verifying means. 740 and a web server that are in communication with each other via a wired and / or wireless network.

Here, when the information verifying means 740 is a wired terminal to which a communication channel is connected through a TCP / IP based wired network, the interface unit 3700 may include the information verifying means 740 and HTTP (Hyper-Text Transfer). Protocol Connect a predetermined communication channel based on the protocol, and provide the time verification quality verification interface and / or information according to the maturity level in the form of a Hyper-Text Markup Language (HTML) compatible document to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting a screen and receiving and processing timeliness quality verification information, which is input (or selected), through the maturity stages timeliness quality verification interface from the information verifying means 740.

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through a CDMA-based wireless network, the interface unit 3700 may include the information verifying means 740 and a wireless application protocol (WAP) and / or the like. Or connecting a predetermined communication channel based on a mobile explorer (ME) protocol, and verifying timeliness quality according to maturity level in the form of a wireless markup language (WML) and / or HTML compatible document to the information verification means 740 through the communication channel. It is preferable to perform a function of transmitting and outputting an interface and / or an information providing screen and receiving and processing timeliness quality verification information corresponding to the maturity stages timeliness quality verification interface from the information verifying means 740. .

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 3700 corresponds to the information verifying means 740 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output a timeliness quality verification interface and / or an information providing screen according to a certain maturity level to the information verification means 740 through the communication channel, and output the information verification means. It is preferable to perform a function of receiving and processing the timeliness quality verification information of the predetermined maturity level corresponding to the timeliness quality verification interface from the maturity level, and / or the information verifying means 740 based on DataTAC / Mobitex. When the communication channel is connected through a wireless network, the interface unit 3700 may provide the information. Connect a verification communication channel 740 with a predetermined communication channel based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and timely quality verification interface according to a predetermined maturity level to the information verification means 740 through the communication channel; Alternatively, it is preferable to perform a function of transmitting and outputting an information providing screen and receiving and processing timely quality verification information of predetermined maturity level corresponding to the timeliness quality verification interface of each maturity level from the information verification means 740.

When the timeliness quality evaluation procedure is performed offline according to another embodiment of the present invention, the timeliness quality evaluation module 720 is enterprise data quality evaluation that is operated based on the data quality management framework shown in FIG. It is desirable to include timeliness quality assessment logic provided in the data quality assessment institution in response to the business logic.

Referring to FIG. 37, when timeliness quality evaluation information is provided for each stage of maturity from the information input unit 735, the timeliness quality evaluation module 720 interoperates with the interface unit 3700 to verify the information verification means 740. An interface provider 3705 for generating (or extracting) a timeliness quality verification interface for a predetermined maturity level and inputting (or selecting) and transmitting timeliness quality verification information for each stage of maturity, and the interface unit 3700. And an information receiver 3010 for receiving timely quality verification information for each stage of maturity, which is input (or selected) through the information verification means 740 through the timeliness quality verification interface for each stage of maturity. .

The interface providing unit 3705 inputs timely quality verification information according to a predetermined maturity level in response to a functional configuration (eg, a browser program provided in the information verifying means 740) provided in the information verifying means 740 (or Select) to generate a timeliness quality verification interface of predetermined maturity level that can be transmitted to the timeliness quality evaluation module 720 through the interface means, and / or extract from a predetermined database, and interwork with the interface unit 3700. And provide the information verification means 740 through the interface means with the timeliness quality verification interface generated by the maturity level.

According to an embodiment of the present invention, the timeliness quality verification interface according to the maturity level may include a predetermined examiner evaluating the data quality management maturity level for at least one output corresponding to at least one timeliness quality assessment information corresponding to the maturity level. It is preferred to include a user 120 interface for checking the validity and inputting (or selecting) corresponding timeliness quality verification information.

Here, the at least one output corresponding to the first stage timeliness quality evaluation information is a requirement definition document corresponding to a query that confirms whether the non-functional requirements for the data managed through the data quality management framework shown in FIG. 1 are defined. And a data transition schedule document corresponding to a query for confirming whether schedule management for data managed through the data quality management framework shown in FIG. 1 is performed. And a questionnaire corresponding to a query for confirming whether a problem of non-functional requirements for data managed through the data quality management framework shown in FIG. 1 is identified.

In addition, the at least one output corresponding to the second stage timeliness quality assessment information may be defined (or defined) corresponding to a query that verifies that a non-functional requirement for data managed through the data quality management framework shown in FIG. Procedure) and / or a standard document template, and a data flow job registration document corresponding to a query for confirming whether to manage a data flow cycle managed through the data quality management framework shown in FIG. And / or a monitoring document, and a tuning result document corresponding to a query for confirming whether the system systematically corresponds to a non-functional requirement for data managed through the data quality management framework shown in FIG. Or resource input planning documents and / or performance monitoring Ring results, including documents and / or requirements jeonguiseo (or resource allocation protocol) is characterized in that formed.

In addition, the at least one output corresponding to the third stage timeliness quality assessment information is a standard corresponding to a query that verifies whether enterprise-wide integration of non-functional requirements for data managed through the data quality management framework shown in FIG. And a document template and / or an organization, and the data flow task corresponding to the query for checking whether the data flow cycle is managed throughout the enterprise for the data managed through the data quality management framework shown in FIG. And a performance diagnosis document corresponding to a query for checking whether an expert is used to respond to non-intelligent requirements for data managed through the data quality management framework shown in FIG. Or include a professional training program And it characterized in that formed.

In addition, the at least one output corresponding to the fourth stage timeliness quality assessment information corresponds to a query for confirming whether to accumulate corresponding knowledge of non-functional requirements for data managed through the data quality management framework shown in FIG. A document including a requirement knowledge D / B and corresponding to a query for checking whether to perform monitoring using data measurement indicators managed through the data quality management framework shown in FIG. And / or a data utilization evaluation document.

In addition, the at least one output corresponding to the fifth step timeliness quality evaluation information is a technical trend corresponding to a query to identify and apply a technical trend for data managed through the data quality management framework shown in FIG. Characterized in that the identification document and / or resource input planning document (or resource allocation result document).

Subsequently, the information verifying means 740 inputs (or selects) timely quality verification information for each maturity level based on the timeliness quality verification interface for each maturity level, and inputs the input (or selected) timeliness quality verification information for each step of maturity. Send to the timeliness quality assessment module 720 via the interface means.

The information receiver 3010 inputs (or selects) timely quality verification information for each stage of maturity through the interface means in the information verification means 740 through the timeliness quality verification interface for each maturity level, and transmits it through the interface means. In connection with 3700, the timeliness quality verification information for each stage of maturity is received.

Referring to FIG. 37, when the timeliness quality evaluation module 720 is provided with timeliness quality evaluation information according to maturity level from the information input means 735, and timeliness quality verification information is provided by maturity level according to the information verification means 740. And an information checking unit 3715 for checking timeliness maturity information for the data quality evaluation target by comparing timeliness quality evaluation information for each maturity level with timeliness quality verification information for each maturity level, and the identified timeliness maturity information and data quality evaluation target. And an information storage unit 3720 for storing the information in a predetermined storage medium 730.

The information checking unit 3715 may respond to all the positive responses to the timeliness quality assessment query included in the maturity stage, timeliness quality assessment interface, from the information input unit 735 to the timeliness quality assessment information according to the maturity stage. Response) is included.

If the timeliness quality assessment information for each stage of maturity includes at least one or more positive responses to the timeliness quality assessment query for each stage of maturity, the information checking unit 3715 may verify the timeliness quality verification information for each stage of maturity from the information verification unit 740. Wherein at least one or more maturity stages of timeliness quality verification queries included in the maturity stages of timeliness quality verification interfaces are included in a total positive response, and are provided from the information input means 735. The timeliness quality assessment information for each stage of maturity includes at least one overall positive response to the timeliness quality assessment query for each stage of maturity, and at least one of the timeliness quality verification information provided from the information verification means 740. In the case that contains the total positive response to the maturity stage timeliness Quality query, the information checking unit 3715 has determined that the data quality target is reached in the quality control timeliness maturity stage.

On the other hand, the timeliness quality assessment information according to the maturity level includes at least one negative response, and / or the overall positive response to the timeliness quality assessment query on the maturity level according to at least one maturity level. When at least one negative response is included in the provided timeliness quality verification information according to the maturity level, the information checking unit 3715 indicates that the data quality evaluation target has not reached the corresponding timeliness quality management maturity level. Check it.

For example, when the first stage timeliness quality evaluation information includes the entire positive response to the at least one first stage timeliness quality evaluation query, the information checking unit 3715 may perform the first step from the information verification unit 740. Verifying that the timeliness quality verification information includes an all positive response to at least one first stage timeliness quality verification query included in the first stage timeliness quality verification interface, and inputting the information. The first stage timeliness quality assessment information provided from the means 735 includes the overall positive response to at least one first stage timeliness quality assessment query, and the first stage timeliness quality verification information provided from the information verifying means 740. Corresponding to the at least one first stage timeliness quality assessment information When the total positive response to at least one output validation is included, the information checking unit 3715 determines that the data quality evaluation target has reached the timeliness quality management maturity introduction step.

However, the first stage timeliness quality assessment information includes at least one or more negative responses, and / or the first stage timeliness quality assessment information includes at least one or more first-order timeliness quality assessment queries. If a response is included, but the at least one negative response is included in the first step timeliness quality verification information provided, the information checking unit 3715 may introduce the timeliness quality control maturity to the data quality evaluation target. Confirm that the step has not been reached.

Alternatively, when the second stage timeliness quality evaluation information includes the entire positive response to the at least one second stage timeliness quality evaluation query, the information checking unit 3715 may perform the second step from the information verification unit 740. Verifying that the timeliness quality verification information includes an all positive response to at least one or more second stage timeliness quality verification queries included in the second stage timeliness quality verification interface, and inputting the information. The second stage timeliness quality assessment information provided from the means 735 includes the entire positive response to at least one second stage timeliness quality assessment query, and the second stage timeliness quality verification information provided from the information verifying means 740. Corresponding to at least one second stage timeliness quality assessment information at When a total positive response to at least one output validation is included, the information checking unit 3715 determines that the data quality evaluation target has reached a corresponding timeliness quality control maturity formalization step.

However, the second stage timeliness quality assessment information includes at least one or more negative responses, and / or the second stage timeliness quality assessment information includes at least one or more second-order timeliness quality assessment queries. If a response is included, but the at least one negative response is included in the provided second stage timeliness quality verification information, the information checking unit 3715 determines that the data quality evaluation target is a corresponding timeliness quality management maturity. Confirm that the step has not been reached.

Alternatively, when the third stage timeliness quality evaluation information includes the entire positive response to the at least one third stage timeliness quality evaluation query, the information checking unit 3715 may perform the third step from the information verification unit 740. Verifying that the timeliness quality verification information includes an all positive response to at least one third level timeliness quality verification query included in the third stage timeliness quality verification interface, and inputting the information. The third stage timeliness quality verification information provided from the means 735 includes the entire positive response to at least one third stage timeliness quality assessment query, wherein the third stage timeliness quality verification information provided from the information verifying means 740 Corresponding to the at least one third stage timeliness quality assessment information to When a total positive response to at least one output validation is included, the information checking unit 3715 determines that the data quality evaluation target has reached the timeliness quality management maturity integration step.

However, the third stage timeliness quality assessment information includes at least one negative response, and / or the overall positive for the third stage timeliness quality assessment information at least one third stage timeliness quality assessment query. If a response is included, but the at least one negative response is included in the provided third-step timeliness quality verification information, the information checking unit 3715 may integrate the corresponding data quality evaluation target timeliness quality management maturity. Confirm that the step has not been reached.

Alternatively, when the fourth stage timeliness quality evaluation information includes the overall positive response to the at least one fourth stage timeliness quality evaluation query, the information checking unit 3715 may perform the fourth step from the information verification unit 740. Verifying that the timeliness quality verification information includes an all positive response to at least one fourth stage timeliness quality verification query included in the fourth stage timeliness quality verification interface, and inputting the information. The fourth stage timeliness quality verification information provided from the means 735 includes the entire positive response to at least one fourth stage timeliness quality assessment query, and the fourth stage timeliness quality verification information provided from the information verifying means 740. Corresponding to at least one fourth step timeliness quality assessment information at When a total positive response to at least one output validation is included, the information checking unit 3715 determines that the data quality evaluation target has reached the appropriate timeliness quality control maturity quantification step.

However, the fourth stage timeliness quality assessment information includes at least one or more negative responses, and / or the fourth stage timeliness quality assessment information includes at least one or more fourth-order timeliness quality assessment queries. If a response is included, but the at least one negative response is included in the provided fourth step timeliness quality verification information, the information checking unit 3715 determines that the data quality evaluation target is a corresponding timeliness quality control maturity. Confirm that the step has not been reached.

Alternatively, when the fifth step timeliness quality evaluation information includes the overall positive response to the at least one fifth step timeliness quality evaluation query, the information checking unit 3715 may perform the fifth step from the information verification unit 740. Verifying that the timeliness quality verification information includes all positive responses to at least one or more fifth level timeliness quality verification queries included in the fifth level timeliness quality verification interface, and inputting the information. The fifth stage timeliness quality verification information provided from the means 735 includes the overall positive response to at least one fifth stage timeliness quality assessment query, and the fifth stage timeliness quality verification information provided from the information verifying means 740. Corresponding to the at least one fifth step timeliness quality assessment information to When a total positive response to at least one output validation is included, the information checking unit 3715 determines that the data quality evaluation target has reached the timeliness quality management maturity optimization step.

However, the fifth stage timeliness quality assessment information includes at least one or more negative responses, and / or the fifth stage timeliness quality assessment information includes at least one or more positive responses to the fifth stage timeliness quality assessment information. If a response is included, but the at least one negative response is included in the provided fifth step timeliness quality verification information, the information checking unit 3715 determines that the data quality evaluation target is timely quality management maturity optimization. Confirm that the step has not been reached.

38 is a view showing a process of evaluating the first stage timeliness quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 38 shows the timeliness quality evaluation module 720 and the information input means 735 corresponding to at least one data quality management subject and the timeliness quality assessment subject on the timeliness quality management maturity evaluation system shown in FIG. 37. The process of evaluating the first stage timeliness quality evaluation maturity level for the data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 38 to infer various implementation methods for assessing timeliness quality assessment maturity for evaluating timeliness quality assessment maturity, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

In the following FIG. 38, the timeliness quality evaluation module 720 on the timeliness quality management maturity evaluation system shown in FIG. 37 is referred to as an "evaluation module" for convenience.

Referring to FIG. 38, the evaluation module on the timeliness quality management maturity evaluation system illustrated in FIG. 37 includes a first stage timeliness including at least one first stage timeliness quality assessment query for evaluating the first stage timeliness quality assessment maturity. A quality assessment interface is generated (or extracted) (3800) and the first stage timeliness quality assessment interface is provided (3805) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, the at least one first stage timeliness quality assessment query included in the first stage timeliness quality assessment interface is non-functional for data managed through the data quality management framework shown in FIG. A query for confirming whether a requirement is defined, a query for confirming that schedule management is performed for data managed through the data quality management framework shown in FIG. 1, and a data quality management framework shown in FIG. It is characterized in that it comprises a query to determine whether to identify the problem of the non-functional requirements for the managed data.

Thereafter, the information input means 735 inputs (or selects) at least one first step timeliness quality evaluation information corresponding to at least one first step timeliness quality evaluation query through the first step timeliness quality evaluation interface. (3810).

According to an embodiment of the present invention, the first stage timeliness quality evaluation information may include one of a positive response or a negative response to the first stage timeliness quality evaluation query.

When all the first stage timeliness quality evaluation information corresponding to the first stage timeliness quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. The first step timeliness quality evaluation information is provided (3815), and in response, the evaluation module checks whether the overall positive response to the first step timeliness quality evaluation information (3820).

If the overall positive response to the first stage timeliness quality assessment information is not identified (or at least one negative response is identified) (3825), the evaluation module determines the timeliness quality control maturity level for the data quality assessment target. In operation 3830, the controller determines the time quality control maturity information for the data quality evaluation object and the data quality evaluation object information in the predetermined storage medium 730 in operation 3835.

On the other hand, if a total positive response to the first stage timeliness quality evaluation is confirmed (3825), the evaluation module includes at least one corresponding to at least one or more first stage timeliness quality verification information for evaluating the first stage timeliness quality verification maturity. Generate (or extract) a first stage timeliness quality verification interface for checking the validity of the output and inputting (or selecting) corresponding first stage timeliness quality verification information (3840), and through a predetermined interface means. The information verification means 740 provides the first step timeliness quality verification interface (3845).

Thereafter, the information verifying means 740 confirms the validity of the at least one output corresponding to the first stage timeliness quality verification information, and then at least corresponding to the validation result through the first stage timeliness quality verification interface. Input (or select) one or more first stage timeliness quality verification information (3850).

According to an embodiment of the present invention, it is confirmed that at least one output corresponding to the first stage timeliness quality evaluation information defines a non-functional requirement for data managed through the data quality management framework shown in FIG. And a requirements definition document corresponding to the query, wherein the data transition schedule document corresponding to the query confirms whether schedule management is performed through the data quality management framework shown in FIG. And a questionnaire corresponding to a query for confirming whether a problem of non-functional requirements for data managed through the data quality management framework shown in FIG. 1 is identified. .

According to an exemplary embodiment of the present invention, the first stage timeliness quality verification information may be one of a positive response corresponding to a result of validating at least one output of at least one first stage timeliness quality evaluation information, or a negative response. It is preferable to comprise a.

When all of the first step timeliness quality verification information is input (or selected), the information verifying means 740 provides the first step timeliness quality verification information input (or selected) to the evaluation module through the interface means. In response to 3855, the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one first stage timeliness quality verification information corresponds to the first stage timeliness quality verification information. (3860).

If the overall positive response to the first stage timeliness quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one first stage timeliness quality assessment information is not verified) (3865), The evaluation module checks the timeliness quality control maturity level of the data quality evaluation target in the 0th stage (3830), and associates the level 0 timeliness quality control maturity information of the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (3835).

On the other hand, if the overall positive response to the first stage timeliness quality assessment is confirmed (eg, when validity of all the outputs corresponding to all the first stage timeliness quality assessment information is verified) (3865), the evaluation module performs the second stage. Timeliness Quality Assessment The process of evaluating maturity.

39 is a diagram illustrating a process of evaluating the second stage timeliness quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 39 is a timeliness quality evaluation module 720 on the timeliness quality management maturity evaluation system shown in FIG. 37, information input means 735 corresponding to at least one data quality management subject, and the timeliness quality assessment subject. The process of evaluating the second stage timeliness quality evaluation maturity for the data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 39 to infer various implementation methods for evaluating timeliness quality assessment maturity for evaluating timeliness quality assessment maturity, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

In this figure 39, the timeliness quality evaluation module 720 on the timeliness quality management maturity evaluation system shown in FIG. 37 is referred to as an "evaluation module" for convenience.

Referring to FIG. 39, the evaluation module on the timeliness quality management maturity evaluation system illustrated in FIG. 37 includes a second stage timeliness including at least one second stage timeliness quality assessment query for evaluating the second stage timeliness quality assessment maturity. A quality assessment interface is generated (or extracted) (3900) and the second stage timeliness quality assessment interface is provided (3905) to the information input means 735 via a predetermined interface means.

According to an embodiment of the present invention, the at least one second stage timeliness quality assessment query included in the second stage timeliness quality assessment interface is a non-functional function for data managed through the data quality management framework shown in FIG. A query for confirming that the requirements are formalized, a query for confirming that the data flow cycle managed through the data quality management framework shown in FIG. 1 is managed, and a data quality management framework shown in FIG. It is characterized in that it comprises a query to check whether the systematic response to the non-functional requirements for the data.

Thereafter, the information input means 735 inputs (or selects) at least one or more second stage timeliness quality evaluation information corresponding to at least one or more second stage timeliness quality evaluation queries through the second stage timeliness quality evaluation interface. (3910).

According to an embodiment of the present invention, the second stage timeliness quality evaluation information may include any one of a positive response or a negative response to the second stage timeliness quality evaluation query.

When all the second stage timeliness quality evaluation information corresponding to the second stage timeliness quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 3920, the second stage timeliness quality evaluation information is provided. In response, the evaluation module determines whether the overall positive response to the second stage timeliness quality evaluation information is determined (3920).

If the overall positive response to the second stage timeliness quality assessment information is not verified (or at least one negative response is identified) (3925), the evaluation module may determine the timeliness quality control maturity level for the data quality assessment target. In operation 1930, the first stage timeliness quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (3935).

On the other hand, when the total positive response to the second stage timeliness quality evaluation is confirmed (3925), the evaluation module includes at least one corresponding to at least one or more second stage timeliness quality verification information for evaluating the second stage timeliness quality verification maturity. Generate (or extract) a second stage timeliness quality verification interface (3940) for checking the validity of the output and inputting (or selecting) corresponding second stage timeliness quality verification information (3940), and through a predetermined interface means. The second step timeliness quality verification interface is provided to the information verification means 740 (3945).

Thereafter, the information verifying means 740 confirms the validity of the at least one output corresponding to the second stage timeliness quality verification information, and then at least corresponding to the validation result through the second stage timeliness quality verification interface. Input (or select) one or more second stage timeliness quality verification information (3950).

According to an embodiment of the present invention, it is confirmed that at least one output corresponding to the second stage timeliness quality evaluation information formalizes non-functional requirements for data managed through the data quality management framework shown in FIG. And a rule (or procedure) corresponding to the query and / or a standard document template, and respond to the query to confirm whether the data flow cycle managed through the data quality management framework shown in FIG. And a data flow job registration document and / or a monitoring document. The query for checking whether the data flow corresponds to the non-functional requirements for the data managed through the data quality management framework shown in FIG. Corresponding tuning result documentation and / or resource inputs And a planning document and / or a performance monitoring result document and / or a requirements definition document (or resource allocation plan).

According to an exemplary embodiment of the present invention, the second stage timeliness quality verification information may be one of a positive response or a negative response corresponding to a result of validation of at least one or more outputs corresponding to at least one or more second stage timeliness quality evaluation information. It is preferable to comprise a.

When all of the second stage timeliness quality verification information is input (or selected), the information verifying means 740 provides the second stage timeliness quality verification information input (or selected) to the evaluation module through the interface means. In response thereto, the evaluation module determines whether the overall positive response to the result of validating at least one output corresponding to the at least one second stage timeliness quality verification information corresponds to the second stage timeliness quality verification information. (3960).

If the overall positive response to the second stage timeliness quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one or more second stage timeliness quality assessment information is not verified) (3965), The evaluation module checks the timeliness quality control maturity level of the data quality evaluation target as a first step (3930), and links the first stage timeliness quality control maturity information of the data quality evaluation target with the data quality evaluation target information. The process then stores the data in a predetermined storage medium 730 (3935).

On the other hand, if the overall positive response to the second stage timeliness quality assessment is confirmed (eg, when the validity of all the outputs corresponding to all the second stage timeliness quality assessment information is verified) (3965), the evaluation module performs the third stage. Timeliness Quality Assessment The process of evaluating maturity.

40 is a diagram illustrating a process of evaluating the third stage timeliness quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 40 shows the timeliness quality evaluation module 720 and the information input means 735 corresponding to at least one data quality management subject and the timeliness quality assessment subject in the timeliness quality management maturity evaluation system shown in FIG. 37. In the process of evaluating the third stage timeliness quality evaluation maturity level for the data managed by the data quality management framework shown in Figure 1 in cooperation with each other, the information verification means 740 corresponding to Those skilled in the art may refer to and / or modify this drawing 40 to infer various implementation methods for assessing timeliness quality assessment maturity for evaluating timeliness quality assessment maturity, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

Hereinafter, in FIG. 40, the timeliness quality evaluation module 720 on the timeliness quality management maturity evaluation system shown in FIG. 37 is referred to as an "evaluation module" for convenience.

Referring to FIG. 40, the evaluation module on the timeliness quality management maturity evaluation system illustrated in FIG. 37 includes a third stage timeliness including at least one third stage timeliness quality assessment query for evaluating the third stage timeliness quality assessment maturity. A quality assessment interface is generated (or extracted) (4000) and the third stage timeliness quality assessment interface is provided (4005) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one third stage timeliness quality assessment query included in the third stage timeliness quality assessment interface is a non-functional function for data managed through the data quality management framework shown in FIG. A query for checking whether the requirements are integrated throughout the enterprise, a query for checking whether the data flow cycle is managed for the data managed through the data quality management framework shown in FIG. 1, and the data quality shown in FIG. It is characterized by including a query to confirm that the use of experts to respond to non-intelligent requirements for data managed through the management framework.

Thereafter, the information input unit 735 inputs (or selects) at least one or more third stage timeliness quality evaluation information corresponding to at least one or more third stage timeliness quality evaluation queries through the third stage timeliness quality evaluation interface. (4010).

According to the exemplary embodiment of the present invention, the third stage timeliness quality evaluation information may include one of a positive response and a negative response to the third stage timeliness quality evaluation query.

When all of the third stage timeliness quality evaluation information corresponding to the third stage timeliness quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. The third stage timeliness quality evaluation information is provided (4015), and in response, the evaluation module checks whether the overall positive response to the third stage timeliness quality evaluation information (4020).

If the overall positive response to the third stage timeliness quality evaluation information is not confirmed (or at least one negative response is confirmed) (4025), the evaluation module determines the timeliness quality control maturity level for the data quality evaluation target. In operation 4030, the second stage timeliness quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (4035).

On the other hand, when the overall positive response to the third stage timeliness quality evaluation is confirmed (4025), the evaluation module includes at least one corresponding to at least one or more third stage timeliness quality verification information for evaluating the third stage timeliness quality verification maturity level. Generate (or extract) a third stage timeliness quality verification interface 4040 which checks the validity of the output and inputs (or selects) corresponding third stage timeliness quality verification information (4040), and through a predetermined interface means. The information verification means 740 provides the third step timeliness quality verification interface (4045).

Thereafter, the information verifying means 740 confirms the validity of at least one output corresponding to the third stage timeliness quality verification information, and then at least corresponding to the validation result through the third stage timeliness quality verification interface. Input (or select) one or more third stage timeliness quality verification information (4050).

According to an embodiment of the present invention, whether the at least one output corresponding to the third stage timeliness quality assessment information integrates non-functional requirements for data managed through the data quality management framework shown in FIG. It comprises a standard document template and / or organization corresponding to the query to confirm, and confirms whether to manage the data flow cycle throughout the enterprise for the data managed through the data quality management framework shown in Figure 1 And a data flow job registration document corresponding to the query, wherein the query is used to determine whether an expert is used to respond to the non-intelligent requirements for the data managed through the data quality management framework shown in FIG. Corresponding performance diagnostic document and / or Is characterized by including a professional training program.

According to an exemplary embodiment of the present invention, the third stage timeliness quality verification information may be a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to at least one or more third stage timeliness quality evaluation information. It is preferable to comprise a.

When all of the third stage timeliness quality verification information is input (or selected), the information verifying means 740 provides the third stage timeliness quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of at least one output corresponding to at least one third stage timeliness quality verification information corresponds to the third stage timeliness quality verification information. (4060).

If the overall positive response to the third stage timeliness quality verification information is not verified (eg, if the validity of at least one or more outputs corresponding to the at least one third stage timeliness quality assessment information is not verified) (4065), The evaluation module checks the timeliness quality control maturity level of the data quality evaluation target as the second step (4030), and associates the second stage timeliness quality control maturity information of the data quality evaluation target with the data quality evaluation target information. The process is stored in a predetermined storage medium 730 (4035).

On the other hand, if the overall positive response to the third stage timeliness quality assessment is confirmed (e.g., when the validity of all the outputs corresponding to all the third stage timeliness quality assessment information is confirmed) (4065), the evaluation module performs the fourth stage. Timeliness Quality Assessment The process of evaluating maturity.

41 is a diagram illustrating a process of evaluating the fourth stage timeliness quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 41 is a timeliness quality evaluation module 720 on the timeliness quality management maturity evaluation system shown in FIG. 37, information input means 735 corresponding to at least one data quality management subject, and the timeliness quality assessment subject. The process of evaluating the fourth stage timeliness quality evaluation maturity for the data managed by the data quality management framework shown in FIG. Those skilled in the art may refer to and / or modify this drawing 41 to infer various implementation methods for assessing timeliness quality assessment maturity for evaluating timeliness quality assessment maturity, but the present invention Includes all the inferred implementation methods, and is limited to the implementation method shown in FIG. Not.

In the following FIG. 41, the timeliness quality evaluation module 720 on the timeliness quality management maturity evaluation system shown in FIG. 37 is referred to as an "evaluation module" for convenience.

Referring to FIG. 41, an evaluation module on the timeliness quality management maturity evaluation system shown in FIG. 37 includes a fourth stage timeliness including at least one fourth stage timeliness quality assessment query for evaluating the fourth stage timeliness quality assessment maturity. A quality evaluation interface is generated (or extracted) (4100), and the fourth step timeliness quality evaluation interface is provided (4105) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one fourth stage timeliness quality assessment query included in the fourth stage timeliness quality assessment interface is non-functional for data managed through the data quality management framework shown in FIG. And a query for confirming whether to accumulate knowledge corresponding to the requirements, and a query for confirming whether to perform monitoring using data measurement indicators managed through the data quality management framework shown in FIG. 1.

Thereafter, the information input means 735 inputs (or selects) at least one or more fourth step timeliness quality evaluation information corresponding to at least one or more fourth step timeliness quality evaluation queries through the fourth step timeliness quality evaluation interface. (4110).

According to an embodiment of the present invention, the fourth stage timeliness quality evaluation information may include one of a positive response and a negative response to the fourth stage timeliness quality evaluation query.

When all the fourth stage timeliness quality evaluation information corresponding to the fourth stage timeliness quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In operation 4115, the processor 100 may provide the fourth stage timeliness quality evaluation information, and in response, the evaluation module may check whether the overall positive response to the fourth stage timeliness quality evaluation information is determined (4120).

If the overall positive response to the fourth stage timeliness quality evaluation information is not confirmed (or at least one negative response is confirmed) (4125), the evaluation module determines the timeliness quality control maturity level for the data quality evaluation object. In step 3130, the third-step timeliness quality control maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (4135).

On the other hand, if the overall positive response to the fourth stage timeliness quality evaluation is confirmed (4125), the evaluation module may include at least one corresponding to at least one fourth stage timeliness quality verification information for evaluating the fourth stage timeliness quality verification maturity. The fourth stage timeliness quality verification interface for checking the validity of the output and inputting (or selecting) the fourth stage timeliness quality verification information corresponding thereto (4140), and through a predetermined interface means The fourth step timeliness quality verification interface is provided to the information verification means 740 (4145).

Thereafter, the information verifying means 740 confirms the validity of the at least one output corresponding to the fourth step timeliness quality verification information, and then at least corresponding to the validation result through the fourth step timeliness quality verification interface. Input (or select) one or more fourth stage timeliness quality verification information (4150).

According to an embodiment of the present invention, the at least one output corresponding to the fourth step timeliness quality assessment information accumulates the corresponding knowledge of the non-functional requirements for the data managed through the data quality management framework shown in FIG. And a requirement knowledge D / B corresponding to the query for confirming whether the query is performed. The query for confirming whether the monitoring is performed using the data measurement indicators managed through the data quality management framework shown in FIG. Characterized in that it comprises a measurement indicator definition document and / or data utilization evaluation document corresponding to the.

According to an exemplary embodiment of the present invention, the fourth stage timeliness quality verification information may be one of a positive response or a negative response corresponding to a result of validating at least one or more outputs corresponding to the at least one fourth stage timeliness quality evaluation information. It is desirable to make such a statement.

When all of the fourth step timeliness quality verification information is input (or selected), the information verification means 740 provides the fourth step timeliness quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of at least one output corresponding to the at least one fourth stage timeliness quality verification information corresponds to the fourth stage timeliness quality verification information. (4160).

If the overall positive response to the fourth stage timeliness quality verification information is not verified (eg, the validity of at least one or more products corresponding to the at least one fourth stage timeliness quality assessment information is not verified) (4165), The evaluation module checks timeliness quality control maturity level of the data quality evaluation target in a third step (4130), and links the third level timeliness quality control maturity information of the data quality evaluation target with the data quality evaluation target information. In operation 4135, the processor 110 stores the data in a predetermined storage medium 730.

On the other hand, if the overall positive response to the fourth stage timeliness quality assessment is confirmed (eg, when validity of all the outputs corresponding to all the fourth stage timeliness quality assessment information is confirmed) (4165), the evaluation module performs the fifth stage. Timeliness Quality Assessment The process of evaluating maturity.

42 is a diagram illustrating a process of evaluating the fifth stage of timeliness quality evaluation maturity according to the embodiment of the present invention.

In more detail, FIG. 42 shows the timeliness quality evaluation module 720 and the information input means 735 corresponding to at least one data quality control subject and the timeliness quality assessment subject in the timeliness quality management maturity evaluation system shown in FIG. 37. The process of evaluating the fifth stage timeliness quality evaluation maturity for the data managed by the data quality management framework shown in Figure 1 in cooperation with each other, the information verification means 740 corresponding to the Those skilled in the art may refer to and / or modify this drawing 42 to infer various implementation methods for evaluating timeliness quality assessment maturity for evaluating timeliness quality assessment maturity, but the present invention Includes all the implementation methods inferred, and is limited to the implementation method shown in FIG. Not.

In this figure 42, the timeliness quality evaluation module 720 on the timeliness quality management maturity evaluation system shown in FIG. 37 is referred to as an "evaluation module" for convenience.

Referring to FIG. 42, the evaluation module on the timeliness quality management maturity evaluation system shown in FIG. 37 includes a fifth stage timeliness including at least one fifth stage timeliness quality assessment query for evaluating the fifth stage timeliness quality assessment maturity. A quality evaluation interface is generated (or extracted) (4200), and the fifth step timeliness quality evaluation interface is provided (4205) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one fifth stage timeliness quality assessment query included in the fifth stage timeliness quality assessment interface is a technology trend for data managed through the data quality management framework shown in FIG. And a query for checking whether to optimize the data flow cycle managed through the data quality management framework shown in FIG. 1.

Thereafter, the information input means 735 inputs (or selects) at least one or more fifth step timeliness quality evaluation information corresponding to at least one or more fifth step timeliness quality evaluation queries through the fifth step timeliness quality evaluation interface. (4210).

According to an embodiment of the present invention, the fifth step timeliness quality evaluation information may include any one of a positive response or a negative response to the fifth step timeliness quality evaluation query.

When all the fifth step timeliness quality evaluation information corresponding to the fifth step timeliness quality evaluation query is input (or selected), the information input means 735 inputs (or selects) the input to the evaluation module through the interface means. In step 4215, the evaluation module determines whether the overall positive response to the fifth step timeliness quality evaluation information is determined (4220).

If the overall positive response to the fifth stage of timeliness quality assessment information is not confirmed (or at least one or more negative responses are identified) (4225), the evaluation module determines the timeliness quality control maturity level for the data quality assessment target. In step 4230, the fourth step timeliness quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (4235).

On the other hand, if the overall positive response to the fifth stage of timeliness quality evaluation is confirmed (4225), the evaluation module includes at least one corresponding to at least one or more fifth stages of timeliness quality verification information for evaluating the fifth stage of timeliness quality verification maturity. Generate (or extract) a fifth stage timeliness quality verification interface for checking the validity of the output and inputting (or selecting) the fifth stage timeliness quality verification information corresponding thereto (4240), and through a predetermined interface means. The information verification means 740 provides the fourth step timeliness quality verification interface (4245).

Thereafter, the information verifying means 740 confirms the validity of the at least one output corresponding to the fifth step timeliness quality verification information, and then at least corresponding to the validation result through the fifth step timeliness quality verification interface. Input (or select) one or more fifth stage timeliness quality verification information (4250).

According to an embodiment of the present invention, it is confirmed whether at least one output corresponding to the fifth step timeliness quality evaluation information identifies and applies technical trends for data managed through the data quality management framework shown in FIG. It is characterized in that it comprises a technology trend identification document and / or resource input plan document (or resource allocation result document) corresponding to the query.

According to an exemplary embodiment of the present invention, the fifth step timeliness quality verification information may be one of a positive response corresponding to a result of validating at least one output of at least one output corresponding to at least one fifth step timeliness quality evaluation information, or a negative response. It is preferable to comprise a.

When all of the fifth step timeliness quality verification information is input (or selected), the information verification means 740 provides the fifth step timeliness quality verification information input (or selected) to the evaluation module through the interface means. In response, the evaluation module determines whether the overall positive response to the validation result of the at least one output corresponding to the at least one fifth stage timeliness quality verification information corresponds to the fifth stage timeliness quality verification information. (4260).

If the overall positive response to the fifth stage timeliness quality verification information is not verified (eg, validity of at least one or more products corresponding to the at least one fifth stage timeliness quality assessment information is not verified) (4265), The evaluation module checks the timeliness quality control maturity level of the data quality evaluation target in a fourth step (4230), and links the fourth level timeliness quality control maturity information of the data quality evaluation target with the data quality evaluation target information. The data is stored in a predetermined storage medium 730 (4235).

On the other hand, if the overall positive response to the fifth stage timeliness quality assessment is confirmed (e.g., validity of all the outputs corresponding to all the fifth stage timeliness quality assessment information) (4265), the evaluation module determines the data quality. In step 5270, the timeliness quality management maturity level of the evaluation target is determined (4270), and the fifth stage timeliness quality management maturity level information of the data quality evaluation target and the data quality evaluation target information are linked to a predetermined storage medium ( 730) (4275).

Figure 43 illustrates the interrelationships between data quality management processes for evaluating security quality control maturity for data quality management in accordance with an embodiment of the present invention.

In more detail, FIG. 43 shows data for evaluating the security maturity based on the security data quality criteria shown in FIG. 3 for data managed throughout the enterprise based on the data quality management framework shown in FIG. A diagram illustrating the interrelationship between quality control processes.

Among the data quality standards shown in FIG. 3, the security is a quality standard that means that the confidentiality, integrity, and availability of the data can be secured from illegal and unauthorized threats both inside and outside the database. Human, policy, physical and logical responses are included to safeguard against a series of actions.

Referring to FIG. 43, among the data quality management processes shown in FIG. 6, the data quality management process for evaluating the security maturity according to the security data quality criteria shown in FIG. 3 includes database management (security management). . Database management (security management) is characterized in that it includes a process to continuously manage the creation, change, backup of the data to reliably service the data stored in the database without errors and corruption.

According to the embodiment of the present invention, the security quality management maturity is defined based on the data quality management maturity illustrated in FIG. 5 as follows.

The first stage of security quality management maturity is an introduction stage, in which a security target and a basic security level are defined, and a security target is classified and valued. Based on system-level access control, a basic level of identification and authentication is performed and a backup plan is established to ensure continuity.

The second level of maturity of quality management of security is a formalization step, in which organizational composition, work sharing, guidelines, and procedures are established to satisfy security, and formalized security by security organizations and guidelines is applied. All procedures for access control, backup and recovery are established and the responsibilities and roles of security officers are defined. Include procedures for all possible possibilities, including response procedures in case of infringement.

The third level of security quality management maturity is an integration step, in which a consistent security management of data is performed from the viewpoint of enterprise-wide linkage and integration, and logging and analysis of all usage history are performed. The security level is analyzed and determined by the logging and auditing, and is reflected in the security policy to remove the threat. Periodically, the vulnerability is diagnosed, removable threats are eliminated, and all actions are logged and audited.

The fourth level of security quality management maturity is a quantification step, in which data security management is intensified. It has a structure to check the authority of each person in charge, and appropriate control of the authorized manager is performed. Complex identification and authentication is performed, including the certificate base, and a scheme for preventing information leakage by insiders is established. Administrator's division of authority and encryption of sensitive data are applied.

The fifth stage of security quality management maturity is an optimization stage, in which data security management is completed, and it is a stage that can flexibly cope with future environmental changes as well as optimization from the current perspective. Evaluate the current level of security to verify whether it meets the organization's data protection objectives and complement it, and establish a hierarchical threat management system to complete a defense system that can proactively respond to unexpected threats.

44 is a diagram showing the configuration of a security quality management maturity evaluation system for evaluating security quality assessment maturity according to an embodiment of the present invention.

More specifically, FIG. 44 is based on the data quality management framework shown in FIG. 1 in accordance with the security data quality criteria shown in FIG. 3 and the security quality management process shown in FIG. As a system configuration for evaluating security quality control maturity for data being managed, those skilled in the art to which the present invention pertains can refer to and / or modify this drawing 44 to assess security quality maturity. Various implementation methods for the security quality management maturity evaluation system configuration for evaluating may be inferred, but the present invention includes all the implementation methods inferred above and is not limited to the implementation method shown in FIG.

Hereinafter, on the security quality management maturity evaluation system shown in FIG. 44, an information input means 735 corresponding to the quality control agent on the data quality management system shown in FIG. In response thereto, the security quality verification interface for each stage of maturity is received by the information verification means 740 for receiving the security quality assessment information for each stage of maturity from the information input means 735 and verifying the security quality assessment information for the stage of maturity. After receiving the security quality verification information for each stage of maturity from the information verifying means 740, the security quality evaluation information for each maturity level and the security quality verification information for each maturity level are compared and authenticated. Based on the data quality management framework shown in Figure 1 The subjects to evaluate the security of quality management maturity to the data being managed privately called "security quality assessment module 725".

Referring to FIG. 44 in accordance with an embodiment of the present invention, a security quality control maturity evaluation system for evaluating security quality assessment maturity corresponds to at least one data quality management entity shown in FIG. Information input means (735) for inputting at least one security quality assessment step of at least one maturity level corresponding to the security quality assessment interface at least one or more maturity levels; and corresponding to the data quality assessment subject, the information input means (735) Information verification means for inputting at least one maturity level security quality verification information corresponding to at least one maturity level security quality verification interface after confirming a product corresponding to the security quality evaluation information input according to the maturity level And the surname inputted through the information input means 735 The security quality evaluation information of each maturity level and the security quality verification information of each maturity level inputted through the information verification means 740 are compared to the data managed throughout the enterprise based on the data quality management framework shown in FIG. And a security quality evaluation module 725 for assessing security quality management maturity for the information input means 735, information verification means 740, and security quality evaluation module 725. It is characterized in that the interworking through a predetermined interface means.

According to an embodiment of the present invention, when the security quality evaluation procedure is performed online, the information input means 735 may be a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (eg, ASLmetric ADSL). At least a wired terminal including a desktop computer and / or a laptop that is in communication with the security quality assessment module 725 via a Digital Subscriber Line / VDSL (Very High-data Rate Digital Subscriber Line) and / or a cable communications network. A mobile communication terminal comprising one or more, and / or connected to a code division multiple access (CDMA) based mobile communication network, and / or a portable internet terminal connected to an IEEE 802.16 based high speed wireless internet, and / or a DataTAC / At least one wireless terminal including at least one wireless data communication terminal connected to a Mobitex-based wireless data communication network The information input means 735 outputs at least one security quality evaluation interface for each of the maturity levels provided by the security quality evaluation module 725, and provides a security quality evaluation interface for each of the maturity levels. A function configuration (eg, a browser program and a communication function) for inputting and / or selecting at least one or more maturity level security quality evaluation information through the security quality evaluation module 725 is preferably provided.

Those skilled in the art to which the present invention pertains can easily infer the characteristics of the information input means 735 corresponding to at least one or more wired terminals and / or wireless terminals. Is omitted for convenience.

When the information input means 735 is a wired terminal according to an embodiment of the present invention, the interface means includes the TCP / IP-based wired network, and the information input means 735 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another embodiment of the present invention, when the security quality evaluation procedure is performed offline, the information input means 735 corresponds to the security quality evaluation logic provided with the security quality evaluation module 725. It is preferable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the security quality evaluation procedure is performed online according to an embodiment of the present invention, the security quality evaluation module 725 provides a web interface corresponding to the information input means 735 and the interface means. And an interface unit 4400 for connecting and managing the information input means 735 and a predetermined communication channel through the interface means. The information input means 735 has a function of a web server which is communicatively connected via a wired network and / or a wireless network.

Here, when the information input means 735 is a wired terminal to which a communication channel is connected through a wired network based on TCP / IP, the interface unit 4400 may connect the information input means 735 with Hyper-Text Transfer. A communication quality connection interface and / or information for each stage of maturity in the form of a Hyper-Text Markup Language (HTML) compatible document form is connected to the information input means 735 through a communication channel based on a protocol. Transmitting and outputting a provision screen, and receiving and processing security quality assessment information, which is input (or selected) through the security quality assessment interface for each maturity level, from the information input means 735. desirable.

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through a CDMA based wireless network, the interface unit 4400 may include the information input means 735 and a wireless application protocol (WAP) and / or the like. Or a predetermined communication channel based on a mobile explorer (ME) protocol, and through the communication channel to the information input means 735, security quality according to maturity in the form of WML (Wireless Markup Language) and / or HTML compatible document. Transmits and outputs an evaluation interface and / or information providing screen, and receives and processes security quality evaluation information corresponding to the predetermined maturity level corresponding to the security quality evaluation interface for each maturity level from the information input means 735. It is preferable.

Alternatively, when the information input means 735 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 4400 may correspond to the information input means 735 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output a security quality evaluation interface and / or an information providing screen for each maturity level to the information input means 735 through the communication channel, and output the information. It is preferable to perform a function of receiving and processing security maturity level information of predetermined maturity level corresponding to the security level evaluation level of maturity from the means 735, and / or the information input means 735 is configured to perform DataTAC / When the communication channel is connected through a Mobitex-based wireless network, the interface unit 4400 may provide the information. Connecting an input means 735 with a predetermined communication channel based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and a security quality evaluation interface according to a predetermined maturity level to the information input means 735 through the communication channel; And / or transmits and outputs an information providing screen, and receives and processes security quality assessment information corresponding to the maturity level security quality evaluation interface corresponding to the maturity level security quality evaluation interface from the information input means 735. .

According to another embodiment of the present invention, when the security quality evaluation procedure is performed offline, the security quality evaluation module 725 is enterprise-wide data operated based on the data quality management framework shown in FIG. It is preferable to include security quality assessment logic provided in the data quality assessment in response to the quality assessment business logic.

Referring to FIG. 44, the security quality evaluation module 725 inputs (or selects) security quality evaluation information for each predetermined maturity level by the information input unit 735 in association with the interface unit 4400 and transmits the same. An interface providing unit 4405 for generating (or extracting) a security quality evaluation interface for each predetermined maturity level and a security level for each maturity level in the information input unit 735 in association with the interface unit 4400. And an information receiver 3010 that receives security quality assessment information for each stage of maturity transmitted through input (or selection) through a quality assessment interface.

The interface providing unit 4405 inputs security quality evaluation information for each predetermined maturity level in response to a functional configuration (eg, a browser program provided in the information input unit 735) provided in the information input unit 735 ( Or) to generate a security quality assessment interface for each stage of maturity, which can be transmitted to the security quality assessment module 725 via the interface means, and / or to extract from a predetermined database, and to the interface unit 4400. The security quality evaluation interface for each stage of maturity generated (or extracted) is provided to the information input means 735 through the interface means.

According to an embodiment of the present invention, the security quality assessment interface for each stage of maturity inputs at least one security quality assessment query corresponding to the maturity stage and security quality assessment information corresponding to each security quality assessment query. It is preferred to include (or select) a user 120 interface.

Here, the first level security quality assessment query is a query for confirming whether there is a security control for data managed through the data quality management framework shown in FIG. 1, and the data quality management framework shown in FIG. Including a query to confirm whether to perform the basic level of identification and authentication for the data managed through, and to establish a backup plan for the data managed through the data quality management framework shown in Figure 1 It is characterized by.

In addition, the second level security quality evaluation query is a query for confirming whether to establish a recovery plan for an infringement incident corresponding to the data managed through the data quality management framework shown in FIG. Select a query to confirm whether to establish guidelines and procedures related to data security managed through the data quality management framework, and an organization related to data security managed through the data quality management framework shown in FIG. It is characterized by including a query to check whether to perform.

In addition, the third level security quality evaluation query is a query for confirming whether to perform a security audit for the data managed through the data quality management framework shown in FIG. 1, and the data quality management framework shown in FIG. It includes a query to check whether to perform vulnerability analysis and action on the data managed through.

In addition, the fourth level security quality evaluation query is characterized in that it comprises a query to determine whether to perform the evaluation of the security level of the data managed through the data quality management framework shown in FIG.

In addition, the fifth step security quality evaluation query is characterized in that it comprises a query to determine whether to perform a high-level identification and authentication of the data managed through the data quality management framework shown in FIG.

Thereafter, the information input unit 735 inputs (or selects) security quality assessment information for each stage of maturity based on the security quality assessment interface for each stage of maturity, and provides security quality for each stage of maturity. The evaluation information is transmitted to the security quality evaluation module 725 through the interface means.

When the information receiving unit 3010 inputs (or selects) security quality evaluation information for each maturity level through the security quality evaluation interface for each maturity level in the information input means 735 and transmits the same through the interface means. In conjunction with the interface unit 4400, characterized in that for receiving the security quality evaluation information according to the maturity level.

When the security quality evaluation procedure is performed online according to an embodiment of the present invention, the information verification means 740 is a wired network based on Transmission Control Protocol / Internet Protocol (TCP / IP) (for example, ASL metric). At least a wired terminal including a desktop computer and / or a laptop that is in communication with the security quality assessment module 725 via a Digital Subscriber Line / VDSL (Very High-data Rate Digital Subscriber Line) and / or a cable communications network. A mobile communication terminal comprising one or more, and / or connected to a code division multiple access (CDMA) based mobile communication network, and / or a portable internet terminal connected to an IEEE 802.16 based high speed wireless internet, and / or a DataTAC / At least one wireless terminal including at least one wireless data communication terminal connected to a Mobitex-based wireless data communication network The information verification means 740 outputs at least one security quality verification interface for each of the maturity levels provided by the security quality evaluation module 725, and the security quality verification interface for each of the maturity levels. A function configuration (eg, a browser program and a communication function) for inputting and / or selecting at least one or more maturity level security quality verification information and providing the same to the security quality evaluation module 725 is preferably provided.

Those skilled in the art to which the present invention pertains can easily infer the features of the information verification means 740 corresponding to at least one or more wired terminals and / or wireless terminals, Is omitted for convenience.

When the information verifying means 740 is a wired terminal, the interface means includes the TCP / IP based wired network, and the information verifying means 740 is a wireless terminal. Preferably, the interface means comprises at least one of the CDMA based mobile communication network, and / or IEEE 802.16 based high speed wireless Internet, and / or DataTAC / Mobitex based wireless data communication network.

According to another embodiment of the present invention, when the security quality evaluation process is performed offline, the information verifying means 740 corresponds to the security quality evaluation logic provided with the security quality evaluation module 725. It is preferable to include enterprise-wide data quality assessment business logic that is operated based on the data quality management framework shown in FIG.

When the security quality evaluation procedure is performed online according to an embodiment of the present invention, the security quality evaluation module 725 provides a web interface corresponding to the information verification means 740 and the interface means. And an interface unit 4400 for connecting and managing the information verifying means 740 and a predetermined communication channel through the interface means. Information verification means 740 and the function of the web server is connected via a wired and / or wireless network communication.

Here, when the information verifying means 740 is a wired terminal to which a communication channel is connected through a TCP / IP based wired network, the interface unit 4400 may connect the information verifying means 740 with HTTP (Hyper-Text Transfer). Protocol based on a protocol, and a security quality verification interface and / or information for each stage of maturity in the form of a Hyper-Text Markup Language (HTML) compatible document to the information verification means 740 through the communication channel. Transmitting and outputting a provision screen and receiving and processing security quality verification information for each predetermined maturity level (or selected) from the information verification means 740 through the security quality verification interface for each maturity level. desirable.

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through a CDMA based wireless network, the interface unit 4400 may include the information verifying means 740 and a wireless application protocol (WAP) and / or the like. Or a predetermined communication channel based on a mobile explorer (ME) protocol, and to the information verification means 740 through the communication channel, security quality according to maturity in the form of WML (Wireless Markup Language) and / or HTML compatible document. Transmits and outputs a verification interface and / or an information providing screen, and receives and processes security quality verification information for each maturity level corresponding to the security quality verification interface for each maturity level from the information verification means 740. It is preferable.

Alternatively, when the information verifying means 740 is a wireless terminal to which a communication channel is connected through an IEEE 802.16 based wireless network, the interface unit 4400 may correspond to the information verifying means 740 and the IEEE 802.16 standard. Connect a predetermined communication channel based on a wireless protocol, transmit and output a security quality verification interface and / or an information providing screen for each predetermined maturity level to the information verification means 740 via the communication channel, and verify the information. And performing the function of receiving and processing security maturity level verification information corresponding to the maturity level corresponding to the security level verification level of maturity from the means 740, and / or the information verification means 740 is configured to perform DataTAC / When the communication channel is connected through a Mobitex-based wireless network, the interface unit 4400 may provide the information. Connecting the verification means 740 to a predetermined communication channel based on a wireless protocol corresponding to the DataTAC / Mobitex standard, and through the communication channel to the information verification means 740 for a security quality verification interface for each stage of maturity; And / or transmits and outputs an information providing screen and receives and processes the security quality verification information for each maturity level corresponding to the security quality verification interface for each maturity level from the information verification means 740. .

According to another embodiment of the present invention, when the security quality evaluation procedure is performed offline, the security quality evaluation module 725 is enterprise-wide data operated based on the data quality management framework shown in FIG. It is preferable to include security quality assessment logic provided in the data quality assessment in response to the quality assessment business logic.

Referring to FIG. 44, when the security quality evaluation module 725 provides security quality evaluation information for each maturity level from the information input unit 735, the security quality evaluation module 725 works with the interface unit 4400 to verify the information verification means ( An interface providing unit 4405 for generating (or extracting) a security quality verification interface for each predetermined maturity level and inputting (or selecting) and transmitting security quality verification information for each predetermined maturity level in step 740; And an information receiving unit 3010 which receives security quality verification information for each maturity level, which is input (or selected) and transmitted from the information verification means 740 through the security quality verification interface for each maturity level in association with the unit 4400. Characterized in that made.

The interface providing unit 4405 inputs security quality verification information for each predetermined maturity level in response to a functional configuration (eg, a browser program provided in the information verifying means 740) provided in the information verifying means 740 ( Or) to generate a security quality verification interface for each predetermined maturity level that can be transmitted to the security quality evaluation module 725 through the interface means, and / or to extract from a predetermined database, and to the interface unit 4400. The security quality verification interface for each stage of maturity generated (or extracted) is provided to the information verifying means 740 through the interface means.

According to an embodiment of the present invention, the security quality verification interface according to the maturity level may include at least one output corresponding to at least one security quality assessment information corresponding to the maturity level by a predetermined examiner evaluating the data quality management maturity level. And a user 120 interface for checking the validity and inputting (or selecting) security quality verification information corresponding thereto.

Here, the at least one output corresponding to the first level security quality assessment information may include an asset analysis report corresponding to a query for confirming whether there is a security control for data managed through the data quality management framework shown in FIG. And / or a list of ACLs, and managing the user 120 corresponding to a query for confirming whether to perform basic level identification and authentication for data managed through the data quality management framework shown in FIG. List and / or tool management list and / or ACL list and / or log review report, and whether to establish a backup plan for data managed through the data quality management framework shown in FIG. It includes a backup procedure corresponding to the query to confirm The.

In addition, at least one output corresponding to the second level security quality evaluation information may be sent to a query for confirming whether a recovery plan for an infringement incident corresponding to data managed through the data quality management framework shown in FIG. And a corresponding infringement recovery procedure, and manage the user 120 corresponding to a query to confirm whether to establish guidelines and procedures related to data security managed through the data quality management framework shown in FIG. And an organization related to data security managed through the data quality management framework shown in Figure 1, characterized in that it comprises a list and / or log review report and / or backup procedures and / or recovery procedures. Jobs that respond to queries to determine if they perform a job separation Books and is characterized in that comprises an / or educational performance statement.

Further, the at least one output corresponding to the third level security quality evaluation information is a log review report corresponding to a query confirming whether to perform a security audit for data managed through the data quality management framework shown in FIG. And / or a list of ACLs, and a vulnerability report and / or corresponding to a query confirming whether to perform vulnerability analysis and action on data managed through the data quality management framework shown in FIG. Characterized in that it comprises a list of ACLs.

In addition, the at least one output corresponding to the fourth level security quality evaluation information is evaluated corresponding to a query for confirming whether to perform an evaluation on the security level of data managed through the data quality management framework shown in FIG. Characterized by including a statement and / or IT security regulations.

In addition, the at least one output corresponding to the fifth level security quality evaluation information corresponds to a query for confirming whether to perform advanced level identification and authentication for data managed through the data quality management framework shown in FIG. Characterized in that it comprises a list of ACLs.

Thereafter, the information verifying means 740 inputs (or selects) security quality verification information for each stage of maturity based on the security quality verification interface for each stage of maturity, and the security quality for each stage of maturity. Verification information is transmitted to the security quality assessment module 725 via the interface means.

When the information receiving unit 3010 inputs (or selects) security quality verification information for each maturity level through the security quality verification interface for each maturity level in the information verification means 740 and transmits it through the interface means. In conjunction with the interface unit 4400 is characterized in that for receiving the security quality verification information for each stage of maturity.

Referring to FIG. 44, the security quality evaluation module 725 is provided with security quality evaluation information for each maturity level from the information input unit 735, and security quality verification information for each maturity level from the information verification unit 740. Is provided, an information checking unit 4415 for confirming security maturity information of the data quality evaluation target by comparing the security quality evaluation information for each maturity level and the security quality verification information for each maturity level, and the checked security property. And an information storage unit 4420 which stores the maturity information and the data quality evaluation target information in a predetermined storage medium 730.

The information checking unit 4415 responds to the overall positive response to the security quality assessment query of at least one maturity stage included in the security quality assessment interface for each stage of maturity from the information input means 735 to the security quality assessment information for each stage of maturity. It is characterized by checking whether (All Positive Response) is included.

If the security quality assessment information for each maturity level includes a total positive response to the security quality assessment query for at least one or more maturity levels, the information checking unit 4415 may secure the security level for each maturity level from the information verification means 740. Determining whether the quality verification information includes an all positive response to at least one security quality verification query according to at least one maturity level included in the security quality verification interface according to the maturity level. The security quality assessment information provided by the maturity stage includes the overall positive response to the security quality assessment query of at least one maturity stage, and the security quality verification information provided by the information verification means 740. At least one tooth In the case of containing the total positive response to the step-by-step security maturity Quality query, check the information unit (4415) has determined that the data quality target is reached in the security QA maturity stage.

On the other hand, at least one negative response is included in the security quality assessment information according to the maturity level, and / or the overall positive response to the security quality assessment query according to the at least one maturity level in the security quality assessment information according to the maturity level. Is included, but if the provided security quality verification information for each maturity level includes at least one negative response (Negative Response), the information check unit 4415, the data quality evaluation target is the security quality management maturity level Confirm that you have not reached.

For example, when the first level security quality evaluation information includes the entire positive response to the at least one first level security quality evaluation query, the information checking unit 4415 is provided from the information verifying means 740. Determining whether the first level security quality verification information includes an all positive response to at least one first level security quality verification query included in the first level security quality verification interface. And the first stage security quality assessment information provided from the information input means 735 includes the entire positive response to at least one first stage security quality assessment query, and the information provided from the information verifying means 740. The first level security quality verification information corresponds to at least one first level security quality evaluation information. When the total positive response to at least one output validation is included, the information verification unit 4415 confirms that the data quality evaluation target has reached the security quality management maturity introduction step.

However, the first level security quality assessment information includes at least one negative response, and / or the first level security quality assessment information includes at least one first level security quality assessment query. If the overall positive response is included, but the at least one negative response is included in the first level security quality verification information provided, the information verification unit 4415 determines that the data quality evaluation target is the corresponding security. Confirm that gender quality management maturity has not been reached.

Alternatively, when the second level security quality evaluation information includes the entire positive response to the at least one second level security quality evaluation query, the information checking unit 4415 is provided from the information verifying means 740. Determining whether the second level security quality verification information includes all positive responses to at least one second level security quality verification query included in the second level security quality verification interface. The second level security quality evaluation information provided from the information input means 735 includes the entire positive response to at least one second level security quality evaluation query, and the information provided from the information verifying means 740. Corresponding to the at least one second level security quality assessment information in the second level security quality verification information. When a total positive response to at least one output validation is included, the information checking unit 4415 determines that the data quality evaluation target has reached a security quality management maturity formalization step.

However, at least one negative response is included in the second level security quality evaluation information, and / or at least one second level security quality evaluation query is included in the second level security quality evaluation information. If the overall positive response is included, but the at least one negative response is included in the provided second level security quality verification information, the information checking unit 4415 determines that the data quality evaluation target is the corresponding security. Confirm that gender quality management maturity has not reached the formalization stage.

Alternatively, when the third level security quality evaluation information includes the entire positive response to the at least one third level security quality evaluation query, the information checking unit 4415 is provided from the information verifying means 740. Verifying whether the third level security quality verification information includes an all positive response to at least one third level security quality verification query included in the third level security quality verification interface. And the third stage security quality assessment information provided from the information input means 735 includes the entire positive response to at least one third stage security quality assessment query, and the information provided from the information verifying means 740. Corresponding to the at least one third level security quality assessment information in the third level security quality verification information. When a total positive response to at least one output validation is included, the information verification unit 4415 determines that the data quality evaluation target has reached the level of security quality management maturity integration.

However, at least one negative response is included in the third level security quality evaluation information, and / or at least one third level security quality evaluation query is included in the third level security quality evaluation information. If the overall positive response is included, but the at least one negative response is included in the third level security quality verification information provided, the information verification unit 4415 determines that the data quality evaluation target is the corresponding security. Confirm that gender quality management maturity has not reached the level of integration.

Alternatively, when the fourth level security quality evaluation information includes the entire positive response to the at least one fourth level security quality evaluation query, the information checking unit 4415 is provided from the information verifying means 740. Determining whether the fourth level security quality verification information includes all positive responses to at least one or more fourth level security quality verification queries included in the fourth level security quality verification interface. And the fourth stage security quality assessment information provided from the information input means 735 includes the entire positive response to the at least one fourth stage security quality assessment query, and is provided from the information verifying means 740. Corresponding to the at least one fourth level security quality assessment information in the fourth level security quality verification information. When a total positive response to at least one output validation is included, the information verification unit 4415 determines that the data quality evaluation target has reached the level of security quality management maturity quantification.

However, at least one negative response is included in the fourth level security quality evaluation information, and / or at least one fourth level security quality evaluation query is included in the fourth level security quality evaluation information. If the overall positive response is included, but the at least one negative response is included in the provided fourth level security quality verification information, the information checking unit 4415 determines that the data quality evaluation target is the corresponding security. Confirm that gender quality control maturity has not been reached.

Alternatively, when the fifth level security quality evaluation information includes the entire positive response to the at least one fifth level security quality evaluation query, the information checking unit 4415 is provided from the information verifying means 740. Verifying that the five-step security quality verification information includes all positive responses to at least one fifth-level security quality verification query included in the fifth-step security quality verification interface. And the fifth step security quality assessment information provided from the information input means 735 includes the entire positive response to at least one fifth step security quality assessment query, and the information provided from the information verifying means 740. Corresponding to the at least one fifth level security quality evaluation information in the fifth level security quality verification information. When the entire positive response to at least one output validity check is included, the information checking unit 4415 determines that the data quality evaluation target has reached the level of security quality management maturity optimization.

However, at least one negative response is included in the fifth level security quality evaluation information, and / or at least one fifth level security quality evaluation query is included in the fifth level security quality evaluation information. If the overall positive response is included, but the at least one negative response is included in the provided fifth level security quality verification information, the information checking unit 4415 determines that the data quality evaluation target is the corresponding security. Gender quality management maturity has not been reached.

45 is a diagram illustrating a process of evaluating first-level security quality assessment maturity according to an embodiment of the present invention.

In more detail, FIG. 45 illustrates a security quality evaluation module 725 on the security quality management maturity evaluation system shown in FIG. 44, information input means 735 corresponding to at least one data quality management entity, and the security. In the process of evaluating the first stage security quality assessment maturity level for the data managed by the data quality management framework shown in Figure 1 in cooperation with the information verification means corresponding to the quality evaluation subject, Those skilled in the art to which the present invention pertains can refer to and / or modify this drawing 45 to infer various implementation methods for assessing security quality assessment maturity for evaluating security quality assessment maturity. As will be appreciated, the invention includes all implementations inferred, and is limited to the implementation methods illustrated in FIG. Not.

Hereinafter, in FIG. 45, the security quality evaluation module 725 on the security quality management maturity evaluation system shown in FIG. 44 is referred to as an "evaluation module" for convenience.

Referring to FIG. 45, the evaluation module on the security quality management maturity evaluation system illustrated in FIG. 44 includes at least one first level security quality assessment query for evaluating the first stage security quality assessment maturity. A first step security quality assessment interface is generated (or extracted) (4500), and the first step security quality assessment interface is provided (4505) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one first level security quality assessment query included in the first level security quality assessment interface is applied to data managed through the data quality management framework shown in FIG. A query to confirm whether a security control exists, a query to confirm whether basic level identification and authentication of data managed through the data quality management framework shown in FIG. 1, and the data quality management shown in FIG. It is characterized by including a query to confirm whether to establish a backup plan for the data managed through the framework.

Thereafter, the information input means 735 inputs (or at least one first step security quality evaluation information corresponding to at least one first step security quality evaluation query through the first step security quality evaluation interface) (or (4510).

According to an embodiment of the present invention, the first step security quality evaluation information may include any one of a positive response or a negative response to the first step security quality evaluation query.

When all of the first-level security quality evaluation information corresponding to the first-level security quality evaluation query is input (or selected), the information input means 735 inputs (or inputs) to the evaluation module through the interface means. Select the first step security quality evaluation information (4515), and correspondingly, the evaluation module checks whether the overall positive response to the first step security quality evaluation information (4520).

If the overall positive response to the first level security quality evaluation information is not confirmed (or at least one negative response is confirmed) (4525), the evaluation module determines security quality management maturity level for the data quality evaluation target. In operation S4530, the security quality management maturity information for the data quality evaluation target and the data quality evaluation target information are linked and stored in a predetermined storage medium 730 (4535). ).

On the other hand, if the overall positive response to the first level security quality evaluation is confirmed (4525), the evaluation module corresponds to at least one or more first level security quality verification information for evaluating the first level security quality verification maturity. Generating (or extracting) a first level security quality verification interface (4540) for verifying validity of at least one output and inputting (or selecting) first level security quality verification information corresponding thereto; The first stage security quality verification interface is provided to the information verifying means 740 through the interface means of the method 4545.

Thereafter, the information verification means 740 confirms the validity of at least one output corresponding to the first level security quality verification information, and then corresponds to the validity verification result through the first level security quality verification interface. Input (or select) at least one first step security quality verification information (4550).

According to an embodiment of the present invention, the at least one output corresponding to the first level security quality evaluation information may determine whether there is a security control for data managed through the data quality management framework shown in FIG. And an asset analysis report corresponding to the query and / or an ACL list. The query for confirming whether or not to perform basic level identification and authentication for data managed through the data quality management framework shown in FIG. Corresponding user 120 management list and / or tool management list and / or ACL list and / or log review report, characterized in that the data managed through the data quality management framework shown in Figure 1 Includes backup procedures for responding to queries to ensure that you have a backup plan Characterized in that W is made.

According to an embodiment of the present invention, the first level security quality verification information may include a positive response or a negative response corresponding to a result of validating at least one output corresponding to at least one first level security quality evaluation information. It is preferable to comprise either.

When all of the first level security quality verification information is input (or selected), the information verification means 740 receives the first level security quality verification information input (or selected) to the evaluation module through the interface means. (4555), and correspondingly, the evaluation module is a positive overall result of the validation result of at least one output corresponding to at least one first level security quality evaluation information in the first level security quality verification information. The response is checked (4560).

If the overall positive response to the first level security quality verification information is not verified (eg, the validity of at least one or more outputs corresponding to the at least one first level security quality assessment information is not verified) (4565). ), The evaluation module checks the security quality control maturity level of the data quality evaluation target in step 0 (4530), and the 0th level security quality management maturity information and the data quality evaluation of the data quality evaluation target. The target information is cooperatively stored and stored in the predetermined storage medium 730 (4535).

On the other hand, if the overall positive response to the first level security quality assessment is confirmed (eg, when validity of all the outputs corresponding to all the first level security quality assessment information is confirmed) (4565), the evaluation module is configured to generate the first positive response. Step 2 Security Quality Assessment The process of evaluating maturity.

46 is a diagram illustrating a process of evaluating second-level security quality assessment maturity according to the embodiment of the present invention.

In more detail, FIG. 46 illustrates a security quality evaluation module 725 on the security quality management maturity evaluation system shown in FIG. 44, information input means 735 corresponding to at least one data quality management entity, and the security. A process for evaluating a second stage security quality assessment maturity level for data managed by the data quality management framework shown in FIG. Those skilled in the art to which the present invention pertains may refer to and / or modify this drawing 46 to infer various implementation methods for assessing security quality assessment maturity for evaluating security quality assessment maturity. As will be appreciated, the invention includes all implementations inferred, and is limited to the implementation methods illustrated in FIG. Not.

Hereinafter, in FIG. 46, the security quality evaluation module 725 on the security quality management maturity evaluation system shown in FIG. 44 is referred to as "evaluation module" for convenience.

Referring to FIG. 46, an evaluation module on the security quality management maturity evaluation system illustrated in FIG. 44 may include a first query including at least one second level security quality assessment query for evaluating the second stage security quality assessment maturity. A second level security quality assessment interface is generated (or extracted) (4600), and the second level security quality assessment interface is provided (4605) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, at least one second level security quality evaluation query included in the second level security quality evaluation interface corresponds to data managed through the data quality management framework shown in FIG. A query to confirm whether to establish a recovery plan for an infringement incident, a query to confirm whether to establish guidelines and procedures related to data security managed through the data quality management framework shown in FIG. It is characterized in that it comprises a query to select the organization related to the data security managed through the data quality management framework, and to determine whether to perform the job separation.

Thereafter, the information input means 735 inputs (or at least one second level security quality evaluation information corresponding to at least one or more second level security quality evaluation queries) through the second level security quality evaluation interface. (4610).

According to an embodiment of the present invention, the second level security quality evaluation information may include one of a positive response and a negative response to the second level security quality evaluation query.

When all the second level security quality evaluation information corresponding to the second level security quality evaluation query is input (or selected), the information input means 735 inputs (or inputs) to the evaluation module through the interface means. The selected second step security quality evaluation information is provided (4615), and in response, the evaluation module checks whether the overall positive response to the second level security quality evaluation information is determined (4620).

If the overall positive response to the second level security quality assessment information is not verified (or at least one negative response is confirmed) (4625), the evaluation module determines security quality management maturity level for the data quality assessment target. As a first step (4630), and the first step security quality management maturity information for the data quality evaluation target and the data quality evaluation target information in a cooperative process and stored in a predetermined storage medium (730) (4635) ).

On the other hand, when the overall positive response to the second level security quality evaluation is confirmed (4625), the evaluation module corresponds to at least one or more second level security quality verification information for evaluating the second level security quality verification maturity. Generate (or extract) a second level security quality verification interface (4640) that validates at least one output and inputs (or selects) second level security quality verification information corresponding thereto; The second stage security quality verification interface is provided to the information verifying means 740 through the interface means of 4645.

Thereafter, the information verification means 740 confirms the validity of at least one output corresponding to the second level security quality verification information, and then corresponds to the validity verification result through the second level security quality verification interface. 4650 inputs (or selects) at least one second level security quality verification information.

According to an embodiment of the present invention, at least one output corresponding to the second level security quality evaluation information is a recovery plan for an infringement incident corresponding to data managed through the data quality management framework shown in FIG. And an infringement recovery procedure corresponding to a query for confirming that the system is established. The query for confirming whether to establish guidelines and procedures related to data security managed through the data quality management framework shown in FIG. And a management list and / or log review report and / or backup procedure and / or infringement recovery procedure corresponding to the user 120, and data managed through the data quality management framework shown in FIG. Select organizations involved in security and ensure that they perform their work responsibilities Characterized in that the work made up corresponding to the inquiry and / or training performance history.

According to an exemplary embodiment of the present invention, the second level security quality verification information may include at least one of a positive response or a negative response corresponding to a result of validating at least one output corresponding to at least one second level security quality evaluation information. It is preferable to comprise either.

When all of the second level security quality verification information is input (or selected), the information verifying means 740 receives the second level security quality verification information input (or selected) to the evaluation module through the interface means. (4655), and correspondingly, the evaluation module is a positive overall result of the validation result of at least one output corresponding to at least one second level security quality evaluation information in the second level security quality verification information. Check whether the response (4660).

If the overall positive response to the second level security quality verification information is not verified (eg, the validity of at least one or more outputs corresponding to the at least one second level security quality assessment information is not verified) (4665) ), The evaluation module checks the security quality management maturity level of the data quality evaluation target as a first step (4630), and the first level security quality management maturity information and the data quality evaluation of the data quality evaluation target. The target information is cooperatively stored and stored in the predetermined storage medium 730 (4635).

On the other hand, if the overall positive response to the second level security quality evaluation is confirmed (eg, when validity of all the outputs corresponding to all the second level security quality evaluation information is confirmed) (4665), the evaluation module is further evaluated. Step 3 Security Quality Assessment The maturity assessment process is performed.

47 is a view showing a process of evaluating the third stage security quality assessment maturity according to the embodiment of the present invention.

In more detail, FIG. 47 shows the security quality evaluation module 725 and the information input means 735 corresponding to at least one data quality management entity on the security quality management maturity evaluation system shown in FIG. In the process of evaluating the third-level security quality assessment maturity level for the data managed by the data quality management framework shown in Figure 1 in cooperation with the information verification means corresponding to the quality evaluation subject, Those skilled in the art to which the present invention pertains may refer to and / or modify this drawing 47 to infer various implementation methods for assessing security quality assessment maturity for evaluating security quality assessment maturity. As will be appreciated, the invention includes all implementations inferred, and is limited to the implementation methods illustrated in FIG. Not.

Hereinafter, in FIG. 47, the security quality evaluation module 725 on the security quality management maturity evaluation system shown in FIG. 44 is referred to as "evaluation module" for convenience.

Referring to FIG. 47, the evaluation module on the security quality management maturity evaluation system illustrated in FIG. 44 includes at least one third level security quality evaluation query for evaluating the third level security quality evaluation maturity. A third level security quality assessment interface is generated (or extracted) (4700), and the third level security quality assessment interface is provided (4705) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one third level security quality assessment query included in the third level security quality assessment interface may be applied to data managed through the data quality management framework shown in FIG. And a query for confirming whether to perform a security audit and a query for confirming whether to perform vulnerability analysis and action on data managed through the data quality management framework shown in FIG. 1.

Thereafter, the information input means 735 inputs (or at least one third level security quality evaluation information corresponding to at least one or more third level security quality evaluation queries) through the third level security quality evaluation interface. (4710).

According to the exemplary embodiment of the present invention, the third level security quality evaluation information may include one of a positive response and a negative response to the third level security quality evaluation query.

When all the third level security quality evaluation information corresponding to the third level security quality evaluation query is input (or selected), the information input means 735 inputs (or inputs) to the evaluation module through the interface means. The selected third step security quality assessment information is provided (4715), and in response, the evaluation module checks whether the overall positive response to the third stage security quality assessment information is determined (4720).

If the overall positive response to the third level security quality evaluation information is not confirmed (or at least one negative response is confirmed) (4725), the evaluation module determines security quality management maturity level for the data quality evaluation target. As a second step (4730), the second step security quality management maturity information for the data quality evaluation target and the data quality evaluation target information is processed in association with the predetermined storage medium 730 (4735). ).

On the other hand, if the overall positive response to the third level security quality evaluation is confirmed (4725), the evaluation module corresponds to at least one or more third level security quality verification information for evaluating the third level security quality verification maturity. Generate (or extract) a third level security quality verification interface (4740) that verifies the validity of at least one output and inputs (or selects) third level security quality verification information corresponding thereto; The third step security quality verification interface is provided to the information verifying means 740 through the interface means of 4477.

Thereafter, the information verification means 740 confirms the validity of at least one output corresponding to the third level security quality verification information, and then corresponds to the validity verification result through the third level security quality verification interface. Input (or select) at least one third level security quality verification information (4750).

According to an exemplary embodiment of the present invention, at least one output corresponding to the third level security quality evaluation information confirms whether to perform a security audit for data managed through the data quality management framework shown in FIG. And a log review report corresponding to the query and / or an ACL list. The query for confirming whether to perform vulnerability analysis and action on data managed through the data quality management framework shown in FIG. And a list of corresponding vulnerability reports and / or ACLs.

According to an exemplary embodiment of the present invention, the third level security quality verification information may include at least one of a positive response or a negative response corresponding to a result of validating at least one output of the at least one third level security quality evaluation information. It is preferable to comprise either.

When all of the third level security quality verification information is input (or selected), the information verification means 740 performs the third level security quality verification information input (or selected) to the evaluation module through the interface means. (4755), and correspondingly, the evaluation module provides a total positive value of a result of validating at least one output corresponding to at least one third level security quality evaluation information in response to the third level security quality verification information. Check the response (4760).

If the overall positive response to the third level security quality verification information is not verified (eg, the validity of at least one or more outputs corresponding to the at least one third level security quality assessment information is not verified) (4765). ), The evaluation module checks the security quality control maturity level of the data quality evaluation target in a second step (4730), and the second level security quality control maturity information and the data quality evaluation of the data quality evaluation target. The target information is cooperatively stored and stored in the predetermined storage medium 730 (4735).

On the other hand, if the overall positive response to the third level security quality evaluation is confirmed (eg, if validity of all the outputs corresponding to all the third level security quality evaluation information is confirmed) (4765), the evaluation module is configured to generate the first positive response. Step 4 Security Quality Assessment The maturity assessment process is performed.

48 illustrates a process of evaluating maturity level 4 of security quality assessment according to an embodiment of the present invention.

In more detail, FIG. 48 shows the security quality evaluation module 725 and the information input means 735 corresponding to at least one data quality management entity on the security quality management maturity evaluation system shown in FIG. 44, and the security. A process for evaluating the fourth-level security quality assessment maturity level for data managed by the data quality management framework shown in FIG. 1 in which information verification means 740 corresponding to the quality assessment subject is interconnected. Those skilled in the art to which the present invention pertains may refer to and / or modify this drawing 48 to infer various implementation methods for assessing security quality assessment maturity for evaluating security quality assessment maturity. As will be appreciated, the invention includes all implementations inferred, and is limited to the implementation methods illustrated in FIG. Not.

Hereinafter, in FIG. 48, the security quality evaluation module 725 on the security quality management maturity evaluation system shown in FIG. 44 is referred to as "evaluation module" for convenience.

Referring to FIG. 48, the evaluation module on the security quality management maturity evaluation system illustrated in FIG. 44 includes at least one fourth level security quality evaluation query for evaluating the fourth level security quality evaluation maturity. A fourth level security quality evaluation interface is generated (or extracted) (4800), and the fourth level security quality evaluation interface is provided (4805) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, the at least one fourth level security quality assessment query included in the fourth level security quality assessment interface may be configured to secure data managed through the data quality management framework shown in FIG. Characterized in that it comprises a query to check whether the evaluation of the level.

Thereafter, the information input means 735 inputs (or at least one fourth level security quality evaluation information corresponding to at least one or more fourth level security quality evaluation queries) through the fourth level security quality evaluation interface. (4810).

According to an embodiment of the present invention, the fourth level security quality evaluation information may include one of a positive response and a negative response to the fourth level security quality evaluation query.

When all the fourth level security quality evaluation information corresponding to the fourth level security quality evaluation query is input (or selected), the information input means 735 inputs (or inputs) to the evaluation module through the interface means. The selected fourth step security quality evaluation information is provided (4815), and in response, the evaluation module checks whether the overall positive response to the fourth level security quality evaluation information is determined (4820).

If the overall positive response to the fourth level security quality evaluation information is not confirmed (or at least one negative response is confirmed) (4825), the evaluation module determines security quality management maturity level for the data quality evaluation target. In step 3830, the third step security quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (4835). ).

On the other hand, if the overall positive response to the fourth level security quality evaluation is confirmed (4825), the evaluation module corresponds to at least one or more fourth level security quality verification information for evaluating the fourth level security quality verification maturity. Generate (or extract) a fourth level security quality verification interface (4840) for checking the validity of at least one output and inputting (or selecting) fourth level security quality verification information corresponding thereto; The fourth stage security quality verification interface is provided to the information verifying means 740 through the interface means of 4482.

Thereafter, the information verification means 740 confirms the validity of at least one output corresponding to the fourth level security quality verification information, and then corresponds to the validity verification result through the fourth level security quality verification interface. Input (or select) at least one fourth level security quality verification information (4850).

According to an embodiment of the present invention, whether the at least one output corresponding to the fourth level security quality evaluation information performs an evaluation on the security level of data managed through the data quality management framework shown in FIG. And an evaluation statement and / or IT security regulations corresponding to the query to be confirmed.

According to an embodiment of the present invention, the fourth level security quality verification information may include at least one of a positive response or a negative response corresponding to a result of validating at least one output corresponding to at least one or more fourth level security quality evaluation information. It is preferable to comprise either.

When all of the fourth level security quality verification information is input (or selected), the information verifying means 740 receives the fourth level security quality verification information input (or selected) to the evaluation module through the interface means. (4855), and correspondingly, the evaluation module provides a total positive value of at least one output of the at least one output corresponding to the at least one fourth level security quality evaluation information in response to the fourth level security quality verification information. Check the response (4860).

If the overall positive response to the fourth level security quality verification information is not confirmed (eg, the validity of at least one or more outputs corresponding to the at least one fourth level security quality evaluation information is not verified) (4865). ), The evaluation module checks the security quality control maturity level of the data quality evaluation target in a third step (4830), and the third level security quality management maturity information and the data quality evaluation of the data quality evaluation target. The target information is cooperatively stored and stored in the predetermined storage medium 730 (4835).

On the other hand, if the overall positive response to the fourth level security quality evaluation is confirmed (eg, when validity of all the outputs corresponding to all the fourth level security quality evaluation information is confirmed) (4865), the evaluation module is configured to generate the first positive response. Step 5 Security Quality Assessment The process of evaluating maturity.

49 is a diagram illustrating a process of evaluating the fifth stage of security quality assessment maturity according to the embodiment of the present invention.

In more detail, FIG. 49 illustrates a security quality evaluation module 725 on the security quality management maturity evaluation system shown in FIG. 44, information input means 735 corresponding to at least one data quality management entity, and the security. In the process of evaluating the fifth stage security quality assessment maturity level for the data managed by the data quality management framework shown in Figure 1 in cooperation with information verification means corresponding to the quality evaluation subject, Those skilled in the art to which the present invention pertains can refer to and / or modify this drawing 49 to infer various implementation methods for assessing security quality assessment maturity for evaluating security quality assessment maturity. As will be appreciated, the invention includes all implementations inferred, and is limited to the implementation methods illustrated in FIG. Not.

Hereinafter, in FIG. 49, the security quality evaluation module 725 on the security quality management maturity evaluation system shown in FIG. 44 is referred to as "evaluation module" for convenience.

Referring to FIG. 49, the evaluation module on the security quality management maturity evaluation system shown in FIG. 44 includes at least one fifth level security quality evaluation query for evaluating the fifth level security quality evaluation maturity. A fifth step security quality assessment interface is generated (or extracted) (4900), and the fifth step security quality assessment interface is provided (4905) to the information input means 735 through a predetermined interface means.

According to an embodiment of the present invention, at least one or more fifth level security quality evaluation queries included in the fifth level security quality evaluation interface may be applied to data managed through the data quality management framework shown in FIG. It is characterized by including a query to confirm whether to perform a high-level identification and authentication.

Thereafter, the information input means 735 inputs (or at least one fifth level security quality evaluation information corresponding to at least one or more fifth level security quality evaluation queries) through the fifth level security quality evaluation interface. (4910).

According to the exemplary embodiment of the present invention, the fifth level security quality evaluation information may include one of a positive response and a negative response to the fifth level security quality evaluation query.

When all of the fifth-level security quality evaluation information corresponding to the fifth-level security quality evaluation query is input (or selected), the information input means 735 inputs (or inputs) to the evaluation module through the interface means. The selected fourth step security quality evaluation information is provided (4915), and in response, the evaluation module checks (4920) whether the overall positive response to the fifth step security quality evaluation information is performed.

If the overall positive response to the fifth level security quality evaluation information is not confirmed (or at least one negative response is confirmed) (4925), the evaluation module determines security quality management maturity level for the data quality evaluation target. In step 4930, the fourth step security quality management maturity information of the data quality evaluation target and the data quality evaluation target information are interworked and stored in a predetermined storage medium 730 (4935). ).

On the other hand, if the overall positive response to the fifth level security quality evaluation is confirmed (4925), the evaluation module corresponds to at least one or more fifth level security quality verification information for evaluating the fifth level security quality verification maturity. Generating (or extracting) a fifth level security quality verification interface for verifying validity of at least one output and inputting (or selecting) fifth level security quality verification information corresponding thereto (4940), and The fifth step security quality verification interface is provided to the information verification means 740 through the interface means of the method 4945.

Thereafter, the information verification means 740 confirms the validity of at least one output corresponding to the fifth level security quality verification information, and then corresponds to the validity verification result through the fifth level security quality verification interface. Input (or select) at least one or more fifth step security quality verification information (4950).

According to an embodiment of the present invention, the at least one output corresponding to the fifth level security quality evaluation information may be used for advanced level identification and authentication of data managed through the data quality management framework shown in FIG. It is characterized in that it comprises a list of ACL corresponding to the query to determine whether to perform.

According to an exemplary embodiment of the present invention, the fifth level security quality verification information may include at least one of a positive response or a negative response corresponding to a result of validating at least one output corresponding to at least one fifth level security quality evaluation information. It is preferable to comprise either.

When all of the fifth level security quality verification information is input (or selected), the information verification means 740 performs the fifth level security quality verification information input (or selected) to the evaluation module through the interface means. (4955), and correspondingly, the evaluation module provides a total positive result of at least one output of the at least one output corresponding to the at least one fifth level security quality evaluation information in response to the fifth level security quality verification information. The response is checked (4960).

If the overall positive response to the fifth level security quality verification information is not confirmed (eg, the validity of at least one or more outputs corresponding to the at least one fifth level security quality evaluation information is not verified) (4965) In step 4930, the evaluation module checks the security quality control maturity level of the data quality evaluation target, and the fourth level security quality management maturity information and the data quality evaluation of the data quality evaluation target. The target information is cooperatively stored and stored in the predetermined storage medium 730 (4935).

On the other hand, if the overall positive response to the fifth level security quality evaluation is confirmed (eg, when validity of all the outputs corresponding to all the fifth level security quality evaluation information is confirmed) (4965), the evaluation module determines the The security quality management maturity level of the data quality evaluation target is confirmed in a fifth step (4970), and the fifth level security quality management maturity information of the data quality evaluation target is linked to the data quality evaluation target information. The storage medium 730 is stored (4975).

According to the present invention, the data quality included in the data quality management target operated throughout the enterprise is evaluated on the basis of accuracy, consistency, usability, accessibility, timeliness, and security to confirm data quality management maturity level for each data quality standard, There is an advantage that can identify the lack.

According to the present invention, by establishing a strategy for improving the maturity of the desired criteria for each organization by evaluating the data quality included in the data quality management targets operated throughout the enterprise on the basis of accuracy, consistency, usability, accessibility, timeliness and security This has the advantage of intentionally improving data quality.

Claims (7)

Precise maturity level according to the maturity level Precise maturity level according to the maturity level Accuracy quality assessment interface Enter at least one maturity level accuracy quality assessment information, or consistent maturity level according to the maturity level according to the data quality standard Input consistency quality assessment information at least one maturity level through an evaluation interface, or enter availability quality assessment information at least one maturity level through a usability quality assessment interface according to a given maturity level usability data quality criterion. Access quality assessment through at least one maturity level through an access quality assessment interface according to a predetermined maturity level according to the data quality criteria. Enter information or enter timely quality assessment information at least one or more maturity levels through a predetermined maturity level timeliness quality assessment interface according to a predetermined maturity level timeliness data quality criteria, or to a security data quality standard at a predetermined maturity level. Information input means for inputting security quality assessment information of at least one maturity stage through a security quality assessment interface according to a predetermined maturity stage; Verifying the output corresponding to the accuracy data quality assessment information for a given maturity level, or verifying the output corresponding to the consistency data quality assessment information for a predetermined maturity level, or outputting the usefulness data quality assessment information for a predetermined maturity level. Verifying, or verifying, the output corresponding to the accessibility usability data quality assessment information at a given maturity level, or verifying the output corresponding to the quality assessment information at a given maturity level, or securing security usability data at a predetermined maturity level. Information verification means for verifying a product corresponding to the quality evaluation information; Providing the accuracy quality evaluation interface according to the accuracy data quality criteria of the maturity level to the information input means, receiving and reading the accuracy quality evaluation information of at least one maturity level inputted through the accuracy quality evaluation interface and correcting each maturity level An accuracy quality evaluation module for checking whether the data quality standard is reached and evaluating the accuracy of the data quality to the verified maturity level when the output for the accuracy quality evaluation information for each maturity level is verified through the information verification means ; Providing the consistency quality evaluation interface according to the consistency data quality criteria for each maturity level as the information input means, and receiving and reading the consistency quality assessment information for each one or more maturity levels inputted through the consistency quality assessment interface, for each consistency level A consistency quality evaluation module for checking whether the data quality standard is reached and evaluating the maturity level for the consistency of the data quality to the verified maturity level when the output for the consistency quality evaluation information for each maturity level is verified through the information verification means ; The information input means provides the usability quality evaluation interface according to the usability data quality criteria according to the maturity level, and receives and reads the usability quality evaluation information of at least one maturity level inputted through the usability quality evaluation interface to each step of maturity level. Checking whether the usability data quality criterion is reached, and when the output of the usefulness quality evaluation information according to the maturity level is verified through the information verification means, the usefulness quality evaluation evaluating the maturity level of the usefulness of the data quality in the verified maturity level. module; Providing the accessibility quality evaluation interface according to the accessibility data quality criteria for each maturity level as the information input means, and receiving and reading at least one accessibility quality assessment information for each maturity level input through the accessibility quality evaluation interface to access each step of maturity level Access quality assessment module that checks whether the data quality standards have been reached, and if the output for the accessibility quality evaluation information according to the maturity level is verified through the information verifying means, the maturity level of the accessibility of the data quality is evaluated to the verified maturity level. ; Providing the timeliness quality evaluation interface according to the timeliness data quality criteria for each stage of maturity as the information input means, and receiving and reading timeliness quality assessment information of at least one maturity stage inputted through the timeliness quality assessment interface to timeliness for each maturity stage Timeliness quality evaluation module to check whether the data quality standards have been reached, and when the output for the timeliness quality evaluation information for each maturity level is verified through the information verification means, the maturity level for the timeliness of the data quality is evaluated in the verified maturity level. ; Providing the security quality evaluation interface according to the security data quality criteria for each maturity level to the information input means, and receiving and reading security quality evaluation information of at least one maturity level input through the security quality evaluation interface. After checking whether the security data quality standard of each maturity level has been reached, and the output of the security quality evaluation information according to the maturity level is verified through the information verification means, the maturity level of the security of the data quality is transferred to the verified maturity level. Security quality evaluation module for evaluating; Data quality management maturity evaluation system comprising the. The method of claim 1, wherein the maturity level accuracy quality assessment interface, A first level accuracy quality assessment interface comprising at least one query to determine if a required item for data quality assessment target data is defined, and at least one query to determine whether a range of data managed through the data quality management framework is defined, or Queries to check whether pre- and post-checks of required items are performed on data subject to data quality evaluation, queries to determine whether there is a way to confirm the facts about data subject to data quality assessment, and data subject to data quality assessment standard A second level accuracy quality assessment interface comprising at least one query to confirm compliance with the at least one query and at least one query to determine the association of attribute values to data subject to data quality assessment, or A third level accuracy quality assessment including at least one query for confirming whether the error date for the data quality evaluation target data can be traced and responded to, and a query for confirming whether the data quality assessment target data owner (Owner) is responsible; Interface, or Performs a query to check whether data quality evaluation targets have been developed and evaluated, a query to check whether knowledge of resolving data errors for data quality assessment is being tracked, and performance management of data owners subject to data quality assessment. A fourth level accuracy quality assessment interface comprising at least one query to determine whether And at least one fifth step accuracy quality assessment interface comprising at least one query to determine whether to perform error root cause removal for the data subject to data quality assessment. The method of claim 1, wherein the maturity level consistency quality assessment interface, A first step of including at least one query for confirming that duplication of data quality evaluation target data is identified, a query for confirming whether data quality evaluation target data identifier is clarified, and at least one query for confirming whether data quality evaluation target data flow is identified A consistent quality assessment interface, or Queries to verify that validation and metabolism of duplicate data among data subject to data quality assessment is performed, queries to verify that referential integrity is applied to data subject to data quality assessment, and to ensure data subject to data quality compliance A second level consistency quality assessment interface comprising at least one query, and at least one query to verify whether the data flow to be evaluated is data quality, or Queries to determine whether duplicate data at the enterprise level is identified for data subject to data quality assessment, Queries to confirm enterprise data flow to the data subject to data quality assessment, and tracking the cause of errors for data subject to data quality assessment And a third query including at least one query for checking whether a response is possible, a query for checking whether a standard data linkage to the data quality evaluation target data can be grasped, and a query for checking whether the data quality evaluation target data is managed mainly by the owner. Step consistency quality assessment interface, or A fourth step consistency quality assessment interface comprising at least one query to determine whether knowledge on error resolution of data to be evaluated is accumulated, and at least one query to determine whether to measure performance of each owner of the data to be evaluated. or Verify that the data quality assessment target data removes the root cause of duplicate data, query validation to ensure that the referential integrity of the data validation target data is optimized, and check data flow metabolism optimization And at least one fifth step consistency quality assessment interface comprising at least one query. The usability quality assessment interface of claim 1, wherein A first-stage usability quality assessment interface comprising at least one query to determine whether a data requirement for data quality assessment is defined, and at least one query to identify a problem corresponding to the data quality target data requirement, or A query for confirming that the data requirements for data quality evaluation are formalized, a query for confirming the structure management for responding to data requirements for data quality evaluation, a query for confirming systematic correspondence with the data requirements for data quality evaluation, and data A second level of usability quality assessment interface comprising at least one query to verify that the data subject to quality assessment is checked; or A query to verify that the data requirements for data quality evaluation are coordinated enterprise-wide, a query to confirm the establishment of company-wide association of data requirements for data quality evaluation, and a company-wide data structure for data to be evaluated data quality. A third-stage usability quality assessment interface comprising at least one query and at least one query confirming that resources are distributed for improved data quality assessment data utilization, or A query to confirm whether the accumulated knowledge of the data requirements for data quality evaluation is accumulated, a query to confirm whether the knowledge of the structural response of the data requirements for data quality evaluation is accumulated, and a query to confirm whether to evaluate the data utilization of the data quality evaluation target data. A fourth step usability quality assessment interface comprising at least one; or Queries include queries to identify and reflect the internal and external trends of data quality target data requirements, queries to confirm that they accept industry best practices, and queries to optimize and manage data quality target data utilization. And a fifth step of the at least one usefulness quality evaluation interface comprising at least one data quality management maturity evaluation system. The access quality assessment interface of claim 1, wherein At least one query that checks whether distributed data can be viewed among the data quality evaluation data, a query that provides a structure of the user view to be evaluated for data quality, and at least one query that checks whether to support the utilization of user data to be evaluated for data quality. A first level accessibility quality assessment interface, or Supports queries to check whether there is a structure that integrates distributed data among data subject to data quality evaluation, queries to check whether standardization of user screen composition for data quality evaluation is provided, and manuals for utilizing data of users subject to data quality evaluation A second stage accessibility quality assessment interface comprising at least one query for confirming whether the information is provided, and at least one query for confirming whether the data quality evaluation target data sharing environment is provided, or A query to check whether distributed data among data subject to data quality evaluation is integrated across the enterprise, a query to check whether meta data to be shared with the user is shared, a query to check whether the integrated environment of the data target to be evaluated is supported. A third-stage accessibility quality assessment interface comprising at least one query to determine whether to provide an active user view for data quality assessment, and a query to determine whether to provide an environment for creating value through data quality assessment data, or A fourth-stage accessibility quality assessment interface comprising at least one query for confirming whether to use the metrics of the data quality subject user view, and a query for confirming whether the user supports the usage pattern of the data quality subject user, or And a fifth step access quality assessment interface including at least one query to determine whether to optimize the data quality target user view and at least one query to determine whether to optimize the utilization of the data quality target user view. Data quality control maturity assessment system. The timeline quality assessment interface of claim 1, wherein Query to determine if you define non-functional requirements for data subject to data quality assessment, query to confirm that schedule management is performed for data subject to data quality assessment, and to identify problems with non-functional requirements for data subject to data quality assessment. A first stage timeliness quality assessment interface comprising at least one query to identify, or Queries to formalize non-functional requirements for data subject to data quality assessment, queries to manage data flow cycles to target data quality assessment, and systematic responses to non-functional requirements for data subject to data quality assessment A second stage timeliness quality assessment interface comprising at least one query, or Queries to verify non-functional requirements for data subject to data quality assessment, Queries to manage data flow cycles across data for data quality assessment data, and Non-intelligent requirements for data quality assessment data A third-step timeliness quality assessment interface comprising at least one query to determine whether a specialist is utilized for the response of A fourth step timeliness quality assessment comprising at least one query for confirming accumulation of corresponding knowledge of non-functional requirements for the data subject to data quality evaluation and a query for confirming whether monitoring is performed using the data quality indicator for data quality evaluation Interface, or At least one or more fifth level timeliness quality evaluation interface including at least one query for identifying and applying technical trends for data to be evaluated for data quality, and at least one query for checking whether to optimize data flow cycle for data quality evaluation. Data quality management maturity evaluation system, characterized in that made. The security quality assessment interface of claim 1, wherein the maturity level is: Verify that there are security controls for data subject to data quality assessment, query to verify basic level of identification and authentication of data subject to data quality assessment, and establish backup plans for data subject to data quality assessment A first level security quality assessment interface comprising at least one query to make, or Inquiries to establish a recovery plan for incidents corresponding to data subject to data quality assessment, queries to establish guidelines and procedures related to security of data subject to data quality assessment, and organizations involved in data security subject to data quality assessment A second level security quality assessment interface comprising at least one query that selects and confirms that the job separation is performed, or A third level security quality assessment interface comprising at least one query to determine whether to perform a security audit on the data subject to data quality assessment, a query to confirm whether to perform vulnerability analysis and action on the data subject to data quality assessment, or A fourth level security quality assessment interface comprising at least one query to determine whether to perform an assessment of the security level of the data subject to data quality assessment, or Data quality management maturity evaluation system comprising at least one or more fifth level security quality evaluation interface including at least one query to confirm whether to perform the advanced level of identification and authentication of data subject to data quality evaluation .

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