CN114240177A - Government affair data quality assessment method and system - Google Patents
Government affair data quality assessment method and system Download PDFInfo
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- CN114240177A CN114240177A CN202111562651.6A CN202111562651A CN114240177A CN 114240177 A CN114240177 A CN 114240177A CN 202111562651 A CN202111562651 A CN 202111562651A CN 114240177 A CN114240177 A CN 114240177A
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Abstract
The invention provides a government affair data quality evaluation method and system, which are used for acquiring government affair data to be evaluated; obtaining a value domain problem evaluation score, a null value problem ratio, a uniqueness problem ratio and a business problem ratio according to the obtained government affair data; obtaining a government affair data quality evaluation score according to the obtained value domain problem evaluation score, the null value problem ratio, the uniqueness problem ratio and the business problem ratio, and obtaining a government affair quality evaluation result according to the government affair quality evaluation score; the invention combines the value range problem evaluation score, the null value problem ratio, the uniqueness problem ratio and the business problem ratio to realize more accurate availability evaluation of the government affair data quality.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a government affair data quality evaluation method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
Along with the development of big data technology, data are more and more emphasized, work such as 'doing good once', 'running once at most' is closely related to data, and is more related to data quality, especially government affair data, wherein, data such as social security, tax payment, real estate, health, public deposit and the like have huge values, along with the continuous development of government affair data sharing work, government affair data are gradually circulated, play a great role in government affair service affair handling, provide convenience for the masses, and save workload for workers. Meanwhile, the quality problem of government affair data is increasingly prominent, part departments have data requirements, and data providing departments can also provide data, but the data requirement departments are afraid of using and unwilling to use because of the incomplete trust on the data quality, rather than allowing the masses to run more, the stamped paper data of other departments is obtained, and the data are not willing to run more, so that manpower and material resources are saved, and convenience is brought to the masses. How to ensure the data quality and improve the data quality is a problem which must be solved by the application of government affairs big data, and the data quality evaluation becomes an important link for solving the data quality problem.
The inventor finds that, in the case of no technical means for evaluating the data quality, the data quality cannot be guaranteed to be high and usable in a hundred percent, in this case, the application of the government affair data still has a trust crisis, and the data cannot really play a role, and can only be used as an auxiliary means for helping window personnel to inquire the verification information, but cannot be directly used as archived data.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a method and a system for evaluating the quality of government affair data, which realize more accurate availability evaluation of the quality of the government affair data.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a government affair data quality assessment method in a first aspect.
A government affair data quality assessment method comprises the following processes:
acquiring government affair data to be evaluated;
obtaining a value domain problem evaluation score, a null value problem ratio, a uniqueness problem ratio and a business problem ratio according to the obtained government affair data;
and obtaining a government affair data quality evaluation score according to the obtained value range problem evaluation score, the null value problem ratio, the uniqueness problem ratio and the business problem ratio, and obtaining a government affair quality evaluation result according to the government affair quality evaluation score.
Further, obtaining a value domain problem evaluation score according to the value domain problem data quantity, the value domain rule evaluation score lower limit, the service data spot check data quantity and the government affair data total quantity, wherein the value domain problem data quantity is the data total quantity with the value domain problem after the value domain check.
Further, obtaining a null value problem ratio according to a null value problem data volume, a null value rule evaluation score lower limit, a business data spot check data volume and a government data total volume, wherein the null value problem data volume is the data total volume with null value problems after null value check.
Further, a uniqueness problem ratio is obtained according to the uniqueness problem data quantity, the uniqueness rule evaluation score lower limit, the business data spot check data quantity and the government affair data total quantity, wherein the uniqueness problem data quantity is the data total quantity with uniqueness problems after uniqueness check.
Further, obtaining a business problem ratio according to the business problem data volume, the business rule evaluation score lower limit, the business data spot check data volume and the government affair data total volume, wherein the business problem data volume is the data total volume with business data problems after the business data is verified.
Further, the government affair data quality evaluation score comprises:
wherein Q is a government affair data quality evaluation score, alpha is a value range problem evaluation score, beta is a null value problem ratio, gamma is a uniqueness problem ratio, delta is a business problem ratio, and f is a business data spot check data volume.
A second aspect of the invention provides a government affairs data quality assessment system.
A government data quality assessment system comprising:
a data acquisition module configured to: acquiring government affair data to be evaluated;
a data processing module configured to: obtaining a value domain problem evaluation score, a null value problem ratio, a uniqueness problem ratio and a business problem ratio according to the obtained government affair data;
a quality assessment module configured to: and obtaining a government affair data quality evaluation score according to the obtained value range problem evaluation score, the null value problem ratio, the uniqueness problem ratio and the business problem ratio, and obtaining a government affair quality evaluation result according to the government affair quality evaluation score.
A third aspect of the present invention provides a computer-readable storage medium having stored thereon a program which, when executed by a processor, carries out the steps in the government affairs data quality assessment method according to the first aspect of the present invention.
A fourth aspect of the present invention provides an electronic device, comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the government affairs data quality assessment method according to the first aspect of the present invention.
Compared with the prior art, the invention has the beneficial effects that:
1. the method and the system for evaluating the quality of the government affair data combine the value domain problem evaluation score, the null value problem ratio, the uniqueness problem ratio and the business problem ratio to realize more accurate availability evaluation of the quality of the government affair data.
2. According to the government affair data quality evaluation method and system, the data quality is checked according to various rules, and the data availability is evaluated by showing the data quality problem in a data quality report mode through image-text combination, so that the data availability is improved.
3. According to the government affair data quality evaluation method and system, data quality improvement basis and requirements are provided for a data providing department for evaluating the data quality, the data providing department improves the data in a targeted manner according to a data quality report, and the data quality is continuously improved through the process of submitting, rectifying, detecting, rectifying, retesting and delivering application until the data quality reaches the standard and is submitted to a data using department for application.
4. According to the government affair data quality evaluation method and system, the data use department can use the data to transact business with confidence, the human resource cost input of the government affair service department is reduced, the transaction efficiency is improved, the transaction time of the masses is saved, and the economic benefit and the social benefit are obvious.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a schematic flow chart of a government affair data quality assessment method according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of the work of the government affairs data quality assessment system according to embodiment 1 of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example 1:
as shown in fig. 1, embodiment 1 of the present invention provides a method for evaluating the quality of government affairs data, including the following processes:
acquiring government affair data to be evaluated;
obtaining a value domain problem evaluation score, a null value problem ratio, a uniqueness problem ratio and a business problem ratio according to the obtained government affair data;
obtaining a government affair data quality evaluation score according to the obtained value range problem evaluation score, the null value problem ratio, the uniqueness problem ratio and the business problem ratio;
and obtaining a government affair quality evaluation result according to the government affair quality evaluation score.
Specifically, the method comprises the following steps:
(1) the algorithm involves the index terms:
total data amount x: total amount of data to be evaluated for data quality.
Value range problem data amount a: and (4) checking the total amount of data with the value range problem through the value range.
Value range rule evaluation score lower bounda: and the lower limit of the evaluation score set in the quality evaluation rule management.
Null problem data amount b: and (4) checking the null value to obtain the total data amount with the null value problem.
Null rule evaluation score lower boundb: and the lower limit of the evaluation score set in the quality evaluation rule management.
Uniqueness problem data amount c: and (4) checking the uniqueness to obtain the total data with uniqueness problem.
Uniqueness rule evaluation score lower boundc: and the lower limit of the evaluation score set in the quality evaluation rule management.
Traffic problem data volume d: and through service data verification, the total amount of data with service data problems exists.
Business rule evaluation score lower boundd: and the lower limit of the evaluation score set in the quality evaluation rule management.
Service data sampling inspection data volume f: and checking the total amount of the service data subjected to the spot check for the service data.
(2) Evaluation score calculation
Calculating a value range problem evaluation score: α ═ f1(a/x×100，<a，a/x×100，0)
Calculating a null problem ratio: beta ═ f1(b/x×100，<b，b/x×100，0)
Calculating the uniqueness problem ratio: y ═ f1(c/x×100，<c，c/x×100，0)
Calculating the service problem ratio: delta ═ f1(d/x×100，<d，d/x×100，0)
Wherein f is1The (x1, x2, x3, x4) function has four parameters, the x1 parameter is the problem rate of the calculated data, the x2 function is the lower limit of the problem rate, when x1 is larger than x2, the result value of the function is the same as x1, and when x1 is smaller than x2, the result value of the function is 0. That is, when the problem rate is less than the set lower limit value, the evaluation score is a normally calculated score, and when the problem rate is greater than the set lower limit value, the evaluation score is 0.
Calculating a data quality assessment score:
the function of f2(x1, x2, x3, x4) is 0 when the result of x1 is the same as x2, x4 is the result of x1 is different from x2, x4 is the importance of improving the traffic problem ratio, once a traffic data problem occurs, the data quality is difficult to reach, and x4 is the problem ratio multiplied by 10 and then rounded up to the power of 2.
And generating a data quality report, wherein the higher the Q value of the data quality evaluation score is, the higher the data quality is, the lower the ratio of each problem is, and the better the data quality is.
Specifically, the following examples are provided:
430 pieces of real estate data in a certain city are submitted to a house accumulation fund center to support accumulation fund loan service, and quality evaluation is carried out on the data.
Step 1: data source configuration: and registering real estate database information under the data source management function of the government affair data quality evaluation system, and testing connection successfully on line.
Step 2: data warehouse configuration: and establishing a target database under the data warehouse management function of the government affair data quality evaluation system.
And step 3: configuring a data acquisition task: and configuring and starting a data acquisition task under the data synchronous management function of the government affair data quality evaluation system, and closing the task after the acquisition is finished.
And 4, step 4: and setting the lower limit of the value of each check rule, and setting the value range, null value, uniqueness and service check rule value lower limits as 80, 80 and 60 respectively.
And 5: and setting a rule check group, and selecting all four check modes as one group, namely named as 'all check groups'.
Step 6: configuring a data quality checking task, selecting a data source to be subjected to data quality checking, and selecting a set checking group 'all checking groups'. And starting a quality check task.
And 7: and compiling a business check table, contacting a real estate management department to obtain 430 pieces of business data, and filling the data according to an excel template automatically generated by the system.
And 8: and starting service check and uploading the compiled data table.
And step 9: and generating a quality evaluation report, wherein the value domain problem data volume is 0, the null value problem data volume is 45, the uniqueness problem data volume is 0, and the service problem data volume is 0 after verification. According to the algorithm calculation, the data quality evaluation score of the time is 99 points, the data quality is good, and the data can be provided for departments to use.
In the method of the embodiment, the data availability is evaluated by checking the data quality according to various rules and displaying the data quality problem in a data quality report form through image-text combination. The quality inspection report is provided to a data use department along with data resources as a quality inspection report of the data, and a centering pill is eaten to the data use department. Meanwhile, the evaluation of the data quality by the method also provides data quality improvement basis and requirements for a data providing department, the data providing department pertinently completes the data according to a data quality report, and the data quality is continuously improved through the flow of submitting, rectifying, detecting, rectifying, retesting and delivering application until the data quality reaches the standard and is submitted to a data using department for application.
When the method is not adopted, the data using department does not know the data quality condition and is not dare to be directly used as business data, but still requires the masses to provide certification materials, the application of the data is only limited to query and check, and the data can not be fully played.
Example 2:
as shown in fig. 2, embodiment 2 of the present invention provides a government affairs data quality assessment system, including:
a data acquisition module configured to: acquiring government affair data to be evaluated;
a data quality analysis module configured to: obtaining a value domain problem evaluation score, a null value problem ratio, a uniqueness problem ratio and a business problem ratio according to the obtained government affair data;
a quality assessment module configured to: and obtaining a government affair data quality evaluation score according to the obtained value range problem evaluation score, the null value problem ratio, the uniqueness problem ratio and the business problem ratio, and obtaining a government affair quality evaluation result according to the government affair quality evaluation score.
Specifically, the data acquisition module includes:
(1) data source management: establishing data source connection, configuring data source information, testing data source connection condition, and adapting to various types of databases.
(2) Managing a data warehouse: and establishing a data warehouse and carrying out hierarchical management on the data warehouse.
(3) Data synchronization management: configuring a data synchronization task, setting a data input source and a data output source, performing data table mapping configuration, and setting a data synchronization period. After the task configuration is finished, the data synchronization task can be controlled to be started and closed, and manual refreshing can be supported.
Specifically, the data quality analysis module includes:
(1) quality evaluation rule management: the system fixed value field check rule, the null value check rule and the uniqueness check rule can set the value lower limit of each rule, and the data quality is unqualified if the value is lower than the lower limit.
(2) Grouping quality evaluation rules: and selecting a plurality of quality evaluation rules, packaging the quality evaluation rules into a group, naming the group and storing the group.
(3) Quality assessment task management: configuring a quality evaluation task, setting a quality evaluation data source and a data table, selecting a quality evaluation rule group, starting the quality evaluation task, and obtaining each quality evaluation rule evaluation result of the selected quality evaluation rule group.
A quality assessment module comprising: through service data check sampling check, randomly extracting a certain proportion of service data for check, checking data accuracy, service conformity and evaluating data availability, wherein a service data check score accounts for an important proportion in an algorithm, and if the service data check score is lower than 70, the data availability is greatly reduced, specifically, the method comprises the following steps:
(1) and (3) a service data checking and configuring task: and selecting a data source to be verified, and setting a verification parameter and a return value parameter.
(2) And (3) service data checking management: selecting a configured service data check task, starting the check task, uploading a check parameter data table and a check result data table, and generating a check result
Further comprising: and the data quality evaluation report generation module selects the data quality evaluation task and the service data verification task, generates a data quality evaluation report, and comprehensively displays the data quality condition and the score.
Example 3:
embodiment 3 of the present invention provides a computer-readable storage medium on which a program is stored, the program, when executed by a processor, implementing the steps in the government affairs data quality assessment method according to embodiment 1 of the present invention.
Example 4:
embodiment 4 of the present invention provides an electronic device, which includes a memory, a processor, and a program stored in the memory and executable on the processor, and the processor executes the program to implement the steps in the government affair data quality assessment method according to embodiment 1 of the present invention.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A government affair data quality assessment method is characterized in that:
the method comprises the following steps:
acquiring government affair data to be evaluated;
obtaining a value domain problem evaluation score, a null value problem ratio, a uniqueness problem ratio and a business problem ratio according to the obtained government affair data;
and obtaining a government affair data quality evaluation score according to the obtained value range problem evaluation score, the null value problem ratio, the uniqueness problem ratio and the business problem ratio, and obtaining a government affair quality evaluation result according to the government affair quality evaluation score.
2. A government data quality assessment method according to claim 1, wherein:
and obtaining a value domain problem evaluation score according to the value domain problem data quantity, the value domain rule evaluation score lower limit, the service data spot check data quantity and the government affair data total quantity, wherein the value domain problem data quantity is the data total quantity with the value domain problem after the value domain verification.
3. A government data quality assessment method according to claim 1, wherein:
and obtaining a null value problem ratio according to the null value problem data quantity, the null value rule evaluation score lower limit, the business data sampling inspection data quantity and the government data total quantity, wherein the null value problem data quantity is the data total quantity with null value problems after null value verification.
4. A government data quality assessment method according to claim 1, wherein:
and obtaining a uniqueness problem ratio according to the uniqueness problem data quantity, the uniqueness rule evaluation score lower limit, the business data sampling data quantity and the government affair data total quantity, wherein the uniqueness problem data quantity is the data total quantity with uniqueness problems after uniqueness verification.
5. A government data quality assessment method according to claim 1, wherein:
and obtaining the business problem ratio according to the business problem data volume, the business rule evaluation score lower limit, the business data spot check data volume and the government affair data total volume, wherein the business problem data volume is the data total volume with business data problems after the business data is verified.
6. A government data quality assessment method according to claim 1, wherein:
a government data quality assessment score comprising:
wherein Q is a government affair data quality evaluation score, alpha is a value range problem evaluation score, beta is a null value problem ratio, gamma is a uniqueness problem ratio, delta is a business problem ratio, and f is a business data spot check data volume.
7. A government affairs data quality assessment system, characterized by:
the method comprises the following steps:
a data acquisition module configured to: acquiring government affair data to be evaluated;
a data processing module configured to: obtaining a value domain problem evaluation score, a null value problem ratio, a uniqueness problem ratio and a business problem ratio according to the obtained government affair data;
a composite scoring module configured to: and obtaining a government affair data quality evaluation score according to the obtained value range problem evaluation score, the null value problem ratio, the uniqueness problem ratio and the business problem ratio, and obtaining a government affair quality evaluation result according to the government affair quality evaluation score.
8. A government data quality assessment system according to claim 7, wherein:
a government data quality assessment score comprising:
wherein Q is a government affair data quality evaluation score, alpha is a value range problem evaluation score, beta is a null value problem ratio, gamma is a uniqueness problem ratio, delta is a business problem ratio, and f is a business data spot check data volume.
9. A computer-readable storage medium on which a program is stored, the program realizing the steps in the government data quality assessment method according to any one of claims 1 to 6 when executed by a processor.
10. An electronic device comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor implements the steps of the government data quality assessment method according to any one of claims 1-6 when executing the program.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116630034A (en) * | 2023-07-21 | 2023-08-22 | 杭银消费金融股份有限公司 | Wind control data processing system and method |
| CN116777288A (en) * | 2023-06-28 | 2023-09-19 | 广东裕太科技有限公司 | Government system information integration system and application method thereof |
-
2021
- 2021-12-20 CN CN202111562651.6A patent/CN114240177A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116777288A (en) * | 2023-06-28 | 2023-09-19 | 广东裕太科技有限公司 | Government system information integration system and application method thereof |
| CN116777288B (en) * | 2023-06-28 | 2024-03-12 | 广东裕太科技有限公司 | Government system information integration system and application method thereof |
| CN116630034A (en) * | 2023-07-21 | 2023-08-22 | 杭银消费金融股份有限公司 | Wind control data processing system and method |
| CN116630034B (en) * | 2023-07-21 | 2023-11-07 | 杭银消费金融股份有限公司 | Wind control data processing system and method |
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