CN111563673A - Computer technology digitization degree evaluation method and device - Google Patents
Computer technology digitization degree evaluation method and device Download PDFInfo
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Abstract
The invention discloses a computer technology digitization degree evaluation method and device. The method comprises the following steps: determining the dimension and index of a computer technology digitization degree evaluation system; the dimensions include applications, capabilities, security, data, and/or cloud; determining an index score of the index according to the collected index data; determining a dimension weight for the dimension and an index weight for the index; and evaluating the digitization degree of the computer technology according to the index score, the dimension weight and the index weight. The method improves the evaluation efficiency and accuracy of the IT digitization degree evaluation.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for evaluating the digitization degree of a computer technology.
Background
The computer Technology (Internet Technology, IT) digitization degree evaluation plays an important role in realizing closed-loop management and playing an IT digitization effect for enterprises. However, currently, a specific IT digitization degree evaluation system is lacked, and the enterprise evaluates the IT digitization degree of the enterprise mostly by an expert according to experience. Since the evaluation process of the expert for evaluation according to experience does not involve specific indexes, the evaluation efficiency of the current IT digitization degree evaluation is low and the accuracy of the evaluation result is poor.
Disclosure of Invention
Therefore, the invention provides a computer technology digitization degree evaluation method and device, and aims to solve the problems of low evaluation efficiency and poor evaluation result accuracy caused by the fact that the current evaluation process for IT digitization degree evaluation does not relate to specific indexes in the prior art.
In order to achieve the above object, a first aspect of the present invention provides a computer technology digitization degree evaluation method, which includes:
determining the dimension and index of a computer technology digitization degree evaluation system; the dimension includes application, capability, security, data, and/or cloud;
determining the index score of the index according to the acquired index data;
determining a dimension weight of a dimension and an index weight of an index;
and evaluating the digitization degree of the computer technology according to the index score, the dimension weight and the index weight.
Preferably, the step of determining the dimension weight of the dimension and the index weight of the index comprises:
determining the dimension weight of the dimension and the index weight of the index by adopting a plurality of statistical analysis methods; the statistical analysis method comprises more than two of an analytic hierarchy process, a factor analysis method, an expert consultation method, an expert sorting method and a principal component analysis method.
Preferably, the step of determining the index score of the index according to the collected index data includes:
acquiring index data, and extracting quantitative index data from the index data;
and determining a quantization index score according to the quantization index data.
Preferably, the step of determining the index score of the index according to the collected index data further includes:
acquiring index data, and extracting semi-quantitative index data from the index data;
and determining a semi-quantization index score according to the semi-quantization index data.
Preferably, the step of collecting the index data includes:
and acquiring semi-quantitative index data in a questionnaire survey mode.
Preferably, the step of evaluating the degree of computer technology digitization based on the index score, the dimensional weight, and the index weight comprises:
calculating an index score according to the index score, the dimension weight and the index weight;
and generating a special trend graph and an index analysis report according to the index score.
Preferably, after the generating the special trend graph and the index analysis report, the method further comprises:
displaying the special trend graph and the index analysis report according to the employee authority; and the employee authority is determined according to the employee attribution and the employee position.
The second aspect of the present invention provides a computer technology digitization degree evaluation device, which comprises:
the selection module is used for determining the dimensionality and the index of a computer technology digitization degree evaluation system; the dimension includes application, capability, security, data, and/or cloud;
the data processing module is used for determining the index score of the index according to the acquired index data;
the weight determining module is used for determining the dimension weight of the dimension and the index weight of the index;
and the evaluation module is used for evaluating the digitization degree of the computer technology according to the index score, the dimension weight and the index weight.
Preferably, the above evaluation module comprises:
the calculation submodule is used for calculating the index score according to the index score, the dimension weight and the index weight;
and the generation submodule is used for generating a special trend graph and an index analysis report according to the index scores.
Preferably, the above apparatus further comprises:
the display module displays a special trend graph and an index analysis report according to the employee authority; the employee authority is determined according to the employee's place of ownership and the employee's job level.
The invention has the following advantages:
the invention provides a computer technology digitization degree evaluation method, firstly, determining the dimension and index of a computer technology digitization degree evaluation system; the dimension comprises application, capability, safety, data and/or cloud, relates to various aspects of IT digitization, and is helpful for comprehensively and completely evaluating the IT digitization degree; secondly, determining index scores of the indexes according to the acquired index data, and determining dimension weights of the dimensions and index weights of the indexes; and finally, evaluating the digitization degree of the computer technology according to the index fraction, the dimension weight and the index weight, namely, the method can evaluate the IT digitization degree through the index, so that the evaluation process is transparent, and the evaluation efficiency and accuracy of the IT digitization degree evaluation are improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a flowchart of a method for evaluating a degree of digitization in accordance with an embodiment of the present invention;
FIG. 2 is a schematic diagram of a computer technology digitization degree evaluation system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for evaluating a degree of digitization in computer technology according to an embodiment of the present invention.
In the drawings:
31: the selection module 32: data processing module
33: the weight determination module 34: evaluation module
35: display module
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
The computer Technology (Internet Technology, IT) digitization degree evaluation plays an important role in realizing closed-loop management and playing an IT digitization effect for enterprises. However, currently, a specific IT digitization degree evaluation system is lacked, and the enterprise evaluates the IT digitization degree of the enterprise mostly by an expert according to experience. Since the evaluation process of the expert for evaluation according to experience does not involve specific indexes, the evaluation efficiency of the current IT digitization degree evaluation is low and the accuracy of the evaluation result is poor.
In order to overcome the defects in the IT digitization degree evaluation process, the application provides an IT digitization degree evaluation method, and the method realizes the construction of an IT digitization degree evaluation system by means of data storage, processing and modeling capabilities provided by a large data platform. The large data platform is divided into five layers, namely an equipment layer, a data layer, a mining layer, a service layer and a visualization layer. The device layer includes a plurality of cluster nodes, and each cluster node has a unique identifier (UUID). The data layer includes, but is not limited to, a Hadoop Distributed File System (HDFS) and a database, and the format of the file in the data layer includes, but is not limited to, a text file or a csv (Comma-Separated Values) file. The mining layer is used for implementing data processing, for example, data processing is implemented by using Spark Streaming provided by Spark or Machine algorithm Library (MLlib); and the data processing can also be carried out by utilizing the combination of the R language and the Hadoop distributed file system. And the service layer is used for realizing inventory management, index evaluation, network optimization and the like. The visualization layer is used for realizing data visualization, and for example, data presentation and data sharing services are provided in various modes such as a histogram, a line graph, a word cloud graph, a pie graph, an intelligent report, a special topic report, Business Intelligence (BI) presentation, a platform interface and the like.
Fig. 1 is a flowchart of a method for evaluating a degree of digitization by using computer technology according to this embodiment. As shown in fig. 1, the method comprises the steps of:
step 101, determining the dimension and index of a computer technology digitization degree evaluation system.
Specifically, based on the business related to the computer technology or based on the constructed field model, the dimensionality and the index of a computer technology digitization degree evaluation system are determined by an analytic hierarchy process. The domain model is an analysis model based on best practice and is used for assisting a user to know about services related to computer technology. In addition, an affinity graph and an Entity-Relationship (ER) graph may be used to construct a domain model.
Fig. 2 is a schematic diagram of a computer technology digitization degree evaluation system provided in this embodiment. In this implementation, as shown in fig. 2, the dimension of the computer technology digitization degree evaluation system includes applications, capabilities, security, data, and/or cloud. IT should be noted that, these five dimensions relate to various aspects of IT digitization, so that IT digitization degree of an IT system of a government, an enterprise or other organizations can be comprehensively and completely evaluated, and the evaluation process of computer technology digitization degree evaluation is transparent and fair. In addition, each dimension is refined into a plurality of indexes, and the accuracy of IT digitization degree evaluation can be improved. The index includes a quantization index and a semi-quantization index, where the quantization index refers to an index that can be embodied by specific data, and the semi-quantization index refers to an index that cannot be embodied by specific data. Each index may be divided into a plurality of levels including a quantization index and a semi-quantization index. It should be noted that the index may be further subdivided into two or more specific indexes, and the specific indexes may be divided into multiple levels.
In one embodiment, as shown in FIG. 2, the application dimension of the computer technology digitization degree evaluation system includes indicators including, but not limited to, application convergence degree, and/or uniform access capability across applications. The application convergence is a quantization index and is determined by the ratio of the number of the same-function same-form applications to the total number of the form applications; the application concentration degree is also a quantitative index and is determined by the ratio of the number of the currently accessed same-function same-form applications to the total number of the form applications; the cross-application uniform access capability is a semi-quantitative index and comprises five levels of existing uniform frameworks, maturing, no consistent authentication framework but planned introduction, no consistent authentication framework and no planned introduction and no relation to the uniform frameworks.
In the present embodiment, as shown in fig. 2, the indexes included in the capability dimension include, but are not limited to, the number of open key capabilities, the number of capability sharing open platforms, the number of service capability Application Program Interfaces (APIs), the usage level of the inter-department APIs, the inter-department process service orchestration capability, and the capability staging situation.
Wherein, the key capability is determined by the specific service related to the user, for example, the key capability of the operator includes but is not limited to unified authentication, communication service capability, internet of things shared device management, home intelligence, mobile payment, e-commerce docking, smart voice cloud, industry video and credit score. It should be noted that the number of open key capacities is different, and the corresponding levels are different.
In addition, the cross-department API usage level includes full implementation, partial implementation, no unified policy but at increased usage, no unified policy and limited usage, and no five levels involved. When the use degree of the cross-department API is fully realized, the API in the IT system becomes a main interface created by each new service, and meanwhile, the API is widely used in the interior of a user, a partner and a third-party developer; when the cross-department API use degree is partially realized, the API in the IT system is only realized in a selected network and service domain, but the constructors of the IT system increase the availability of the inside of users, partner parties and third-party developers; the cross-department API use degree is that when the use rate is increased without a unified strategy, the constructor of the IT system tries to increase the API use when selecting a network and a service; the use degree of the cross-department API is that no unified strategy exists and the use rate is limited, the API is used only when the application program or the supplier technology is pre-integrated in the IT system, and other events use a Graphical User Interface (GUI).
Cross-departmental process service orchestration capabilities include high integration and automation, partially integrated orchestration, manually integrated processes, no orchestration integration, and no involvement of five levels. When the cross-department flow service arranging capacity is in a level of high integration and automation, the business in the IT system is flexible, and the model can drive service arranging, resource integration and separation, and automatic parameter configuration and flow execution; when the cross-department flow service arrangement capacity is in the level of 'partially integrated arrangement', a successful model driving test point already exists in the IT system, and consistent multi-field service can be provided; when the cross-department flow service arrangement can be in the level of a manual integration flow, constructors of the IT system are researching a driven service business flow, and the IT system depends on the manual business flow to be cross-domain.
In the present embodiment, as shown in fig. 2, the safety dimension includes indexes including, but not limited to, public opinion number, safety area IT investment ratio, employee safety certification training ratio, information safety centralized processing rate, information safety management maturity, information safety certification maturity, safety self-assessment capability, and safety failure loss-to-profit ratio.
The index of the centralized processing rate of the information security is determined by the ratio of the number of the information security accidents processed by the IT system in a unified way to the total number of the information security accidents.
Indicators of information security maturity include very mature, fast mature, slow mature, immature and no five levels involved. IT should be noted that, when the information security maturity is of a "very mature" level, experienced security teams among constructors of the IT system promote implementation of security policies; when the information security maturity is in a level of 'rapid maturity', constructors of the IT system have a security group, and the security group can extract the illegal behaviors by using an extraction tool or recognize and prevent the illegal behaviors by knowing theoretical knowledge and the like; when the information security maturity is in a level of 'slowly maturing', the practice and improvement organization of the constructor of the IT system on the security of the IT system are insufficient, and the process is complicated; when the information security maturity is in an 'immature' level, the IT system can only realize physical security through general security and risk management policies.
The index of maturity of information security certification includes passing ISO2100 certification, having an explicit security policy, having a basic information security policy and a manifest to be enforced, having no policy and a manifest of important information assets and not involving five levels. When the information security certification maturity is in a grade of 'passing ISO2100 certification', the IT system has comprehensive data security and privacy policies and can automatically check vulnerabilities to comply with national industry regulations; when the information security authentication maturity is in the level of 'clear security policy', a constructor of the IT system is required to manually check security holes.
In addition, the safety failure loss-to-profit ratio is an index determined by the ratio of the amount of loss caused by the safety failure in the IT system to the total revenue.
In the present embodiment, as shown in fig. 2, the dimension of data includes indicators including, but not limited to, data storage, data analysis, data application, and data governance.
The index of data storage is continuously refined into specific indexes such as data storage scale, data physical lake-entering ratio, data logic lake-entering ratio and the like. In the concrete indexes after the data storage is refined, the physical lake-entering proportion of the data is determined by the ratio of the integrated data volume of the IT system to the existing data volume; the data logical lake entry ratio is determined by the ratio of the classified data volume to the integrated data volume of the IT system.
The index of data analysis is continuously refined into specific indexes such as data integration analysis degree, data daily processing capacity, data value degree and the like. In the specific index after the data analysis and the refinement, the data value degree is determined by the ratio of the valuable data quantity to the total data quantity.
The index of data application is continuously refined into specific indexes such as model applicability, general information model flexibility, operation and maintenance automation degree, business process automation degree, marketing intelligence degree, service intelligence degree, management intelligence degree, self-service knowledge sharing degree, external data product quantity, open data capacity quantity, open data API quantity, data middle platform construction condition, data income occupation ratio and the like.
In the detailed indexes after the data application is refined, the specific indexes of the flexibility of the universal information model comprise five levels of having an enterprise-wide universal information model, having a limited service range information model, having a technical information model only, having no universal information model and not relating to. When the specific index of the flexibility of the universal information model is the level of 'possessing enterprise-wide universal information model', the clear and perfect information model and the service definition coexist in the IT system, and the information model is formally maintained by a team of data management and data architects and is used for driving the construction of a new system in the whole enterprise and the change of the existing IT system; when the specific indicator of the flexibility of the general information model is "own limited business scope information model", some components of the information model may exist in the IT system together with business definitions, and only a few business domains are updated regularly by the owner of a single business domain; when the specific index of the flexibility of the general information model is 'technical information model only', some components of the information model in the IT system are defined only at the technical level and are rarely associated with business definition, namely, the business cannot understand the existing model.
In the detailed indexes after the data application is refined, the specific index of the operation and maintenance automation degree comprises high automation, medium automation, preliminary automation, no automation and five levels of non-involvement. When the specific index of the operation and maintenance automation degree is the level of high automation, the operation and maintenance of the IT system are associated with machine learning, so that the IT system can realize fault early warning, automatic fault repair, automatic log and index collection and measurement; when the specific index of the operation and maintenance automation degree is the level of 'medium automation', the IT system can automatically collect most logs, indexes and measures, but does not have the capability of automatically repairing faults; when the specific index of the operation and maintenance automation degree is in a level of 'preliminary automation', the IT system is in a stage of exploring a machine learning method, most logs, indexes and measures are collected at the beginning, and only limited alarm can be realized.
In the detailed indexes after the data application is refined, the specific indexes of the automation degree of the business process comprise very mature, evolving, trial project, no automation and no five levels.
In the specific index after the data application is refined, the data profit-to-ratio is determined by the ratio of the income generated by the data to the total income.
The index of data management is continuously refined into specific indexes such as data management and quality control process degree, data life cycle management degree, data standardization degree, data repetition rate and the like.
In the specific indexes after the data governance is refined, the specific indexes of the data management and quality control process degree comprise five levels of process perfection, some processes, isolated processes, unclear definition and no relation. When the specific index of the data management and quality control process degree is the level of 'process perfection', the IT system can realize the comprehensive data quality control process, can evaluate the influence of system change on the data quality by a system verification method, and ensures that the complaint amount of users is low, and the data definition is consistent in different parts in an enterprise; when the specific index of the data management and quality control process degree is the level of 'some processes', the IT system can realize that the data management and data quality control process exists in a key cross-domain department, can evaluate the influence of system change on the data quality based on an independent case, and enables the user complaint amount to be controllable; when the specific index of the data management and quality control process degree is the level of an isolated process, the IT system has data management and data quality control processes, but the execution is improper, and the complaint amount of books is large; when the specific index of the degree of the data management and quality control process is the level of 'definition unclear', the data management and data quality control process is lacked in the IT system.
In the concrete indexes after the data treatment is refined, the concrete index of the data life cycle management degree comprises five levels of clear management flow, informal management, taking an IT department as a center, temporary management and no relation. When the specific index of the data life cycle management degree is the level of 'clear management flow', a clear management flow exists in the IT system, and a strategy flow, a business data owner and a manager can be clear; when the specific index of the data life cycle management degree is the level of 'informal management', a business data owner and a manager in the IT system only play a role when a specific project is needed; when the specific index of the data life cycle management degree is the level of 'taking an IT department as a center', a data owner in the IT system is the IT department instead of a business department, and the IT department manages a data entity according to projects; when the specific index of the data life cycle management degree is the level of "temporary management", there is no formal data life cycle management in the IT system.
In the specific indexes after the data treatment refinement, the specific index of the data repetition rate is determined by the ratio of the repeated data quantity to the total data quantity.
In the present embodiment, as shown in fig. 2, the cloud dimension includes indexes including, but not limited to, a cloud management situation, an intensive cloud resource pool device number, a small machine number, a hardware facility clouding rate, an application software clouding rate, a network function clouding and virtualization ratio, a cloud interconnection and cloud fusion situation, and an open clouding resource capacity number. The index of the cloud management condition comprises the level of having a unified cloud management platform, having cloud management and forming a unified management system, having a cloud management process in a primary stage, having no cloud management and having no relation to the cloud management.
It should be noted that, in the index of any one dimension or in the specific index refined by the index, different levels correspond to different index scores. In addition, the index scores in the present embodiment are normalized to values between [0 and 1], for example, if a certain index or specific index is divided into 5 levels, the index score corresponding to the first level is 0, the index score corresponding to the second level is 0.2, the index score corresponding to the third level is 0.6, the index score corresponding to the fourth level is 0.8, and the index score corresponding to the fifth level is 1.
And 102, determining the index score of the index according to the acquired index data.
The collected index data comprises quantitative data and/or semi-quantitative data. For example, in the application dimension of the computer technology digital degree evaluation system, the number of applications in the same function and same form and the total number of applications in the form that have been accessed at present are all quantized data, and data related to half of quantization indexes of cross-application uniform access capability are all half quantized data.
In one embodiment, the determining the index score of the index according to the collected index data specifically includes: firstly, acquiring index data; then, quantization index data is extracted from the index data and a quantization index score is determined from the quantization index data. It should be noted that the manner of collecting the quantitative data includes, but is not limited to, measuring the specific data manner.
In another embodiment, the determining the index score of the index according to the collected index data further specifically includes: firstly, acquiring index data; then, semi-quantization index data is extracted from the index data and a semi-quantization index score is determined from the semi-quantization index data. It should be noted that the manner of collecting the semi-quantitative data includes, but is not limited to, collecting by questionnaire. Specifically, the step of determining the semi-quantitative index score according to the semi-quantitative index data in the present embodiment will be described in detail, taking the semi-quantitative index, which is the information security maturity, in the security dimension as an example. Firstly, acquiring a plurality of questionnaires about the index of the information safety maturity of the IT system to be detected; then, the level of the index of the information security maturity of the IT system to be tested is determined according to the questionnaire, and the index of the maturity of the information security certification comprises five levels of certification passing ISO2100, clear security policy, basic information security policy, list to be implemented, no policy and important information asset list. And finally, determining the corresponding index score according to the level. In the present embodiment, the index score corresponding to the "authentication by ISO 2100" level is 1, the index score corresponding to the "clear security policy" level is 0.8, the index score corresponding to the "basic information security policy" level is 0.6, the index score corresponding to the "no policy and important information asset list" level is 0.2, and the index score corresponding to the "no involvement" level is 0. Assuming that the index level of the information security maturity of the IT system under test in the present embodiment is "pass ISO2100 certification", the index score corresponding to the information security maturity of the IT system under test in the present embodiment is 1.
In other embodiments, after the index data is collected and before the index score of the index is determined according to the collected index data, useless interference data is removed from the collected index data, so that the accuracy of the computer technology digital evaluation is improved.
And 103, determining the dimension weight of the dimension and the index weight of the index.
Wherein, the dimension weight is the weight of the dimension in the digitization of the computer technology; the index weight is the weight of the index in the corresponding dimension. If the index is detailed to be a specific index, the index weight further includes a weight of the specific index, and the weight of the specific index is a weight of the specific index in the corresponding index.
In one embodiment, a plurality of statistical analysis methods are used to combine the dimensional weight of the determined dimension and the index weight of the index. Specifically, multiple dimension weights or multiple index weights of the indexes of the dimension are obtained by adopting multiple statistical analysis methods, and then the multiple dimension weights or the index weights are recombined to determine the final dimension weight or index weight. The statistical analysis method comprises more than two of an analytic hierarchy process, a factor analysis method, an expert consultation method, an expert sorting method and a principal component analysis method. It should be noted that, the dimensional weight of the dimension and the index weight of the index can be determined by combining a plurality of statistical analysis methods, so that the scientificity and pertinence of the dimensional weight and the index weight can be improved.
And 104, evaluating the digitization degree of the computer technology according to the index score, the dimension weight and the index weight.
Wherein, the digital degree of the computer technology is evaluated specifically including:
first, an index score is calculated from the index score, the dimension weight, and the index weight. The calculation formula in the calculation is as follows:
index score ═ Σ dimension weight ×. index score × (preset full score)
The calculation formula is based on indexes or specific indexes, takes the dimension weight and the index weight as a core, and can show the IT digitization degree in the form of specific scores. Taking a quantitative index of half of the information security maturity in the security dimension as an example, the step of calculating the index score according to the index score, the dimension weight and the index weight in the embodiment is described in detail: the index of maturity of information security certification includes passing ISO2100 certification, having an explicit security policy, having a basic information security policy and a manifest to be enforced, having no policy and a manifest of important information assets and not involving five levels. The index score corresponding to the "authentication by ISO 2100" level is 1, the index score corresponding to the "clear security policy" level is 0.8, the index score corresponding to the "basic information security policy" level is 0.6, the index score corresponding to the "no policy and important information asset list" level is 0.2, and the index score corresponding to the "no policy" level is 0. In this embodiment, IT is assumed that the full score is 100, the dimension weight of the security dimension of the IT system to be tested in a certain company is 0.3, the index weight of the index of the information security maturity is 0.2, and the level of the information security maturity is "basic information security policy", that is, the corresponding index score is 0.8. Then, in the IT system to be tested by the company, the index score of the index of the information security maturity is 0.3 × 0.2 × 0.6 × 100 — 3.6. It should be noted that the dimension score may be determined by the sum of the index scores of the indexes included in the dimension.
And secondly, generating a special trend graph and an index analysis report according to the index score. The special trend graph and the index analysis report are used for showing the evaluation result of the IT digitization degree evaluation. In one embodiment, the variation of the index score is dynamically monitored, thematic analysis is performed, a special trend graph and an index analysis report are generated, the IT digitization degree is timely positioned, and short boards existing in the IT digitization process and possible risks in the future are reflected, so that the effort direction for improving the IT digitization degree is clarified.
After the special trend graph and the index analysis report are generated, in order to prevent the core data from leaking to cause the loss of the company, the special trend graph and the index analysis report can be displayed according to the authority of the staff. The employee authority is determined according to the employee's place of ownership and the employee's job level.
The embodiment provides a computer technology digitization degree evaluation method, which comprises the steps of firstly determining the dimensionality and the index of a computer technology digitization degree evaluation system; the dimension comprises application, capability, safety, data and/or cloud, relates to various aspects of IT digitization, and is helpful for comprehensively and completely evaluating the IT digitization degree; secondly, determining index scores of the indexes according to the acquired index data, and determining dimension weights of the dimensions and index weights of the indexes; and finally, evaluating the digitization degree of the computer technology according to the index fraction, the dimension weight and the index weight, namely, the method can evaluate the IT digitization degree through the index, so that the evaluation process is transparent, and the evaluation efficiency, the fairness and the accuracy of the IT digitization degree evaluation are improved.
The embodiment also provides a device for evaluating the digitization degree of the computer technology, which is realized based on the data storage, processing and modeling capabilities provided by the big data platform. As shown in fig. 3, the apparatus includes: a selection module 31, a data processing module 32, a weight determination module 33, an evaluation module 34 and a display module 35.
The selection module 31 is used for determining the dimension and index of the computer technology digitization degree evaluation system. The dimension includes applications, capabilities, security, data, and/or cloud. The indexes included in the application dimension include, but are not limited to, application convergence, application centralization and/or cross-application uniform access capability; indexes included in the dimension of the capacity include but are not limited to the number of open key capacity, the number of capacity sharing open platforms, the number of Application Programming Interfaces (APIs), the usage degree of the inter-department APIs, the inter-department flow service arrangement capacity and the capacity staging construction condition; the safety dimension comprises indexes including but not limited to public sentiment quantity, safety field IT investment ratio, staff safety certification training ratio, information safety centralized processing rate, information safety management maturity, information safety certification maturity, safety self-evaluation capability and safety failure loss revenue ratio; the data dimension includes indicators including, but not limited to, data storage, data analysis, data application, and data governance; the cloud dimension includes indexes including but not limited to cloud management conditions, intensive cloud resource pool device number, small machine number, hardware facility clouding rate, application software clouding rate, network function clouding and virtualization proportion, cloud interconnection and cloud fusion conditions, and open clouding resource capacity number.
In an embodiment, the apparatus for evaluating the degree of digitization of computer technology provided in this embodiment further includes a storage module, configured to store the dimension and the index of the evaluation system of the degree of digitization of computer technology and the evaluation system of the degree of digitization of computer technology determined by the selection module 31.
And the data processing module 32 is used for determining the index score of the index according to the acquired index data. It should be noted that the data processing module 32 further includes an acquisition sub-module, an extraction sub-module, and an index score determining sub-module. The acquisition submodule is used for acquiring index data, wherein the acquired index data comprise quantized data and/or semi-quantized data. The manner in which the quantitative data is collected includes, but is not limited to, by measuring the specific data manner; the manner of collecting the semi-quantitative indicators includes, but is not limited to, collection by questionnaire. The extraction submodule is used for extracting quantitative index data and/or semi-quantitative index data from the collected index data. The index score determining submodule is used for determining a quantization index score according to the extracted quantization index data and/or determining a semi-quantization index score according to the extracted semi-quantization index data. In one embodiment, the data processing module 32 further includes a data filtering sub-module for removing useless interference data from the index data collected by the collecting sub-module to improve the accuracy of the digital evaluation of the computer technology.
And a weight determining module 33, configured to determine a dimension weight of the dimension and an index weight of the index. Wherein, the dimension weight is the weight of the dimension in the digitization of the computer technology; the index weight is the weight of the index in the corresponding dimension. If the index is detailed to be a specific index, the index weight further includes a weight of the specific index, and the weight of the specific index is a weight of the specific index in the corresponding index. In one embodiment, the weight determination module 33 includes a weight acquisition sub-module and a weight operation sub-module. The weight acquisition submodule is used for acquiring a plurality of dimensional weights of dimensions or a plurality of index weights of indexes by adopting a plurality of statistical analysis methods; the weight operation sub-module is used for recombining the plurality of dimension weights or index weights to determine a final dimension weight or index weight. The statistical analysis method comprises more than two of an analytic hierarchy process, a factor analysis method, an expert consultation method, an expert sorting method and a principal component analysis method.
And the evaluation module 34 is used for evaluating the digitization degree of the computer technology according to the index score, the dimension weight and the index weight. In one embodiment, the evaluation module 34 includes a calculation sub-module and a generation sub-module. The calculation submodule is used for calculating an index score according to the index score, the dimension weight and the index weight; and the generation submodule is used for generating a special trend graph and an index analysis report according to the index score. In another embodiment, the calculation sub-module may automatically calculate the index score according to the index score, the dimension weight, and the index weight, and the generation sub-module may automatically generate a special trend graph and an index analysis report according to the index score, so as to ensure that the IT digitization degree evaluation process is transparent, the evaluation efficiency is high, and the practicability is high.
And the display module 35 is used for displaying the special trend graph and the index analysis report according to the employee authority. The special trend graph and the index analysis report are used for showing the evaluation result of the IT digitization degree evaluation.
The computer technology digitization degree evaluation device provided by the embodiment further comprises an employee database and a right management module. The employee database is used for storing information data of employees, such as the attribution of the employees, the employee grades and the like. The authority management module establishes real-time signal connection with the employee database and is used for determining employee authority and updating the employee authority in real time. In one embodiment, the privilege management module determines the privilege of the employee based on the location of the employee and the employee's job level.
In the device for evaluating the degree of digitization of computer technology provided in this embodiment, the selection module 31 first determines the dimensions and indexes of a system for evaluating the degree of digitization of computer technology; the dimension comprises application, capability, safety, data and/or cloud, relates to various aspects of IT digitization, and is helpful for comprehensively and completely evaluating the IT digitization degree; secondly, the data processing module 32 determines an index score of the index according to the acquired index data, and the weight determining module 33 determines a dimension weight of the dimension and an index weight of the index; finally, the evaluation module 34 evaluates the digitization degree of the computer technology according to the index score, the dimension weight and the index weight, namely, the device can evaluate the IT digitization degree through the index, so that the evaluation process is transparent, and the evaluation efficiency, the fairness and the accuracy of the IT digitization degree evaluation are improved.
The working modes of the modules in the computer technology digitization degree evaluation device provided by this embodiment correspond to the steps in the computer technology digitization degree evaluation method, and therefore, the detailed working modes of the modules in the computer technology digitization degree evaluation device can be referred to the computer technology digitization degree evaluation method provided by this embodiment.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (10)
1. A computer technology digitization degree evaluation method is characterized by comprising the following steps:
determining the dimension and index of a computer technology digitization degree evaluation system; the dimensions include applications, capabilities, security, data, and/or cloud;
determining an index score of the index according to the collected index data;
determining a dimension weight for the dimension and an index weight for the index;
and evaluating the digitization degree of the computer technology according to the index score, the dimension weight and the index weight.
2. The method of claim 1, wherein the step of determining the dimension weight of the dimension and the metric weight of the metric comprises:
determining the dimension weight of the dimension and the index weight of the index by adopting a plurality of statistical analysis methods; the statistical analysis method comprises more than two of an analytic hierarchy process, a factor analysis method, an expert consultation method, an expert sorting method and a principal component analysis method.
3. The method of claim 1, wherein the step of determining the metric score of the metric from the collected metric data comprises:
acquiring index data, and extracting quantitative index data from the index data;
and determining a quantization index score according to the quantization index data.
4. The method of claim 1, wherein the step of determining the metric score of the metric from the collected metric data further comprises:
acquiring index data, and extracting semi-quantitative index data from the index data;
and determining a semi-quantization index score according to the semi-quantization index data.
5. The method of claim 4, wherein the step of collecting metric data comprises:
and acquiring the semi-quantitative index data in a questionnaire survey mode.
6. The method of claim 1, wherein the step of evaluating the degree of digitization of the computer technology based on the metric score, the dimensional weight, and the metric weight comprises:
calculating an index score according to the index score, the dimension weight and the index weight;
and generating a special trend graph and an index analysis report according to the index score.
7. The method of claim 6, further comprising, after the generating the special trend graph and the index analysis report:
displaying the special trend graph and the index analysis report according to the employee authority; and the employee authority is determined according to the employee attribution and the employee position.
8. A computer technology digitization degree evaluation device, comprising:
the selection module is used for determining the dimensionality and the index of a computer technology digitization degree evaluation system; the dimensions include applications, capabilities, security, data, and/or cloud;
the data processing module is used for determining the index score of the index according to the acquired index data;
a weight determination module for determining a dimension weight of the dimension and an index weight of the index;
and the evaluation module is used for evaluating the digitization degree of the computer technology according to the index score, the dimension weight and the index weight.
9. The apparatus of claim 8, wherein the evaluation module comprises:
a calculation submodule for calculating an index score based on the index score, the dimension weight and the index weight;
and the generation submodule is used for generating a special trend graph and an index analysis report according to the index score.
10. The apparatus of claim 9, further comprising:
the display module is used for displaying the special trend graph and the index analysis report according to the employee authority; and the employee authority is determined according to the employee attribution and the employee position.
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