Administrative platform data management system

Abstract

The invention relates to the technical field of data management, and provides an administrative platform data management system, which comprises an administrative data acquisition system, and the administrative data acquisition system is connected with a data preprocessing platform through a data transmission technology, and is used for preprocessing acquired administrative data, the data preprocessing platform is connected with the main data management system through a data transmission technology and used for managing the preprocessed administrative data, and the main data management system is connected with the database through the data transmission technology and used for storing the managed administrative data. By evaluating the risk level and the risk coefficient of the event in the screened administrative data, the administrative data is effectively managed, and the managed data is encrypted, so that the judgment efficiency of the priority processing level of the administrative data is improved, the processing efficiency of the event in the administrative data is improved, and the processing efficiency of the event in the administrative data is improved. And the effect of administrative data management is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to an administrative platform data management system. Background Art

[0002] In the process of enterprise digital construction, especially when the enterprise reaches a certain scale, it will encounter a very troublesome problem called administrative data management. Administrative data management itself is not complicated, but the difficulty lies in data governance. The unreasonable design of administrative data management will lead to great difficulties in the subsequent implementation of administrative management.

[0003] In various large and medium-sized enterprises, the administrative data management systems used are still in a traditional, slow-updating, and scattered state, with a low level of informatization. They cannot effectively integrate the data between each system, and the data has high similarity and repetition rates, which leads to difficulties in administrative data management. Therefore, in administrative data, the probability of occurrence and risk level of events cannot be effectively evaluated, resulting in the inability to effectively judge the priority level of administrative data, causing delayed processing of events, which is not conducive to the management of administrative data.

[0004] Therefore, we make improvements to this and propose an administrative platform data management system. Summary of the invention

[0005] (I) The technical problem to be solved by the present invention is: by screening the similarity rate and duplication rate, the scattered, messy and similar data of administrative data can be removed, so as to improve the efficiency of subsequent administrative governance, and the risks in the data processing process can be evaluated and managed through administrative master data management, so as to improve the efficiency of administrative data management.

[0006] (II) Technical solution

[0007] In order to achieve the above-mentioned purpose of the invention, the present invention provides an administrative platform data management system, including an administrative data acquisition system, the administrative data acquisition system is connected to a data preprocessing platform through data transmission technology, and is used to preprocess the acquired administrative data, the data preprocessing platform is connected to a master data governance system through data transmission technology, and is used to govern the preprocessed administrative data, and the master data governance system is connected to a database through data transmission technology, and is used to store the governed administrative data;

[0008] The master data governance system includes a data risk assessment platform, a data storage platform and a data encryption platform. The data risk assessment platform is used to assess the risk value of administrative data, the data encryption platform is used to encrypt administrative data after risk assessment, and the data storage platform is used to temporarily store administrative data that has been assessed and encrypted;

[0009] The data preprocessing platform includes a data classification module, a data analysis module, a data cleaning module and a data decision module. The data cleaning module is used to clean the acquired administrative data, the data classification module is used to classify the cleaned administrative data, the data analysis module is used to analyze the classified administrative data, and the data decision module is used to make decisions on the analyzed administrative data;

[0010] The data risk assessment platform includes a type assessment module, a risk assessment unit, a stage assessment unit and a comprehensive assessment calculation module. The stage assessment unit is used to assess and analyze the stages of administrative data, the type assessment module is used to assess and analyze the types of administrative data, the risk assessment unit is used to assess the risk level and controllable range of administrative data based on the analysis results of the stage assessment unit and the type assessment module, and the comprehensive assessment calculation module is used to comprehensively evaluate the risk coefficient of administrative data based on the assessment results of the risk assessment unit.

[0011] Preferably, the administrative data acquisition system includes a data scanning module, a data entry module and a data reading module. The data scanning module, the data entry module and the data reading module are all connected to the data desensitizing module through data transmission technology, and are used to desensitize the acquired administrative data and remove anonymization and identification from the administrative data. The data desensitizing module is connected to the data sorting module through data transmission technology, and is used to preliminarily sort the desensitized administrative data and upload it to the data preprocessing platform.

[0012] Preferably, the data cleaning module includes a data standardization unit, a data deduplication unit, a data error correction unit, a data conversion unit and a data verification unit. The data standardization unit is used to standardize administrative data from different sources, the data deduplication unit is used to remove duplicate administrative data, the data error correction unit is used to correct errors or missing values ​​in administrative data, the data conversion unit is used to convert data into a format suitable for analysis and processing, and the data verification unit is used to verify the data, including whether multiple sample variances have significant differences and the degree of correlation between two variables. The expression for whether the multiple sample variances have significant differences is: , where and are the variances of the two samples respectively, and the expression of the correlation degree between the two variables is: , where and are the mean values ​​of the samples, and are the i-th observation values ​​respectively, and the value range of r is -1~1.

[0013] Preferably, the data classification module includes a basic classification unit, a correlation analysis unit, a thematic classification unit and a management classification unit, and the basic classification unit, the correlation analysis unit, the thematic classification unit and the management classification unit are used to classify and manage different administrative data using different classification management standards.

[0014] Preferably, the data analysis module includes a statistical analysis unit, a mining analysis unit and a prediction analysis unit. The statistical analysis unit is used to analyze, summarize and count administrative data from different angles and different granularities according to the requirements of the administrative management department, and to reveal the administrative data characteristics of things in specific time, region and specific situation through numbers. The mining analysis unit is used to establish the association relationship between data according to the needs of different administrative management departments, to discover hidden relationships and association patterns in the data, and to solve the problem of data islands. The prediction analysis unit is used to analyze and judge the probability of an event based on a large amount of historical data, and its expression is: , where is the number of occurrences of the event, is the number of times a historical event occurs, is the probability of occurrence of historical events.

[0015] Preferably, the data decision module includes a shared data decision unit and a private data decision unit, which are used to determine whether the data can be shared among administrative departments based on the analysis results of the data analysis module.

[0016] Preferably, the stage evaluation unit includes an outline stage evaluation unit, an overview stage evaluation unit, a detailed stage evaluation unit, a coding stage evaluation unit, a testing stage evaluation unit, and a maintenance stage evaluation unit, which are used to divide the stages in the life cycle when events in administrative data may occur into six levels, denoted as A, namely The type assessment module includes an environmental risk unit, a technical risk unit, a schedule risk unit, an assessment identification module, and a quality risk unit, which are used to classify the impact of events in administrative data into five levels, denoted as B, namely .

[0017] Preferably, the risk assessment unit includes a risk level assessment unit and a risk controllability assessment unit, and the risk level assessment unit is used to assess the risk level, and its expression is: , the risk controllable assessment unit is used to assess the risk controllable range, and its expression is: , where Correction value for existing experience.

[0018] Preferably, the comprehensive evaluation calculation module comprehensively evaluates the administrative data. The risk coefficient expression of the administrative data is: .

[0019] Preferably, the data encryption platform includes an assessment and identification module and an encryption algorithm library, the assessment and identification module and the encryption algorithm library are connected to the random selection module through data transmission technology, the random selection module is connected to the data encryption module through data transmission technology, and the data encryption module is connected to the key generation module through data transmission technology, and is used to randomly select an encryption algorithm from the encryption algorithm library according to the identified administrative risk coefficient to encrypt the administrative data and generate a key.

[0020] (III) Beneficial effects

[0021] The administrative platform data management system provided by the present invention has the following beneficial effects:

[0022] 1. By judging whether the variances of multiple samples have significant differences Z and the value r of the correlation between two variables, the similarity between multiple data in the administrative data can be judged to improve the efficiency of data cleaning, standardize administrative data from different sources, remove duplicate administrative data, facilitate the correction of errors or missing values ​​in administrative data, and improve the efficiency of later data analysis.

[0023] 2. By screening scattered, messy, identical or similar data in administrative data, establishing the relationship between data according to the needs of different administrative departments, discovering hidden relationships and association patterns in the data, solving the problem of data islands, and analyzing and judging the probability of event occurrence based on a large amount of historical data, and judging the shared data and private data, it is possible to effectively screen out valid data when governing administrative data in the later stage, thereby improving the efficiency of subsequent administrative data governance.

[0024] 3. By evaluating the risk level and risk coefficient of events in the screened administrative data, effective governance of administrative data is achieved, and the governed data is encrypted, which improves the efficiency of judging the priority level of administrative data and the efficiency of processing events in administrative data, thereby improving the effectiveness of administrative data management. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 A general system diagram of an administrative platform data management system provided for this application;

[0027] Figure 2 A schematic diagram of a master data governance system for an administrative platform data management system provided for this application;

[0028] Figure 3 A schematic diagram of an administrative data acquisition system for an administrative platform data management system provided for this application;

[0029] Figure 4 A schematic diagram of a data preprocessing platform for an administrative platform data management system provided for this application;

[0030] Figure 5 A schematic diagram of a data risk assessment platform for an administrative platform data management system provided for this application;

[0031] Figure 6 A schematic diagram of a data encryption platform for an administrative platform data management system provided for this application.

[0032] In the figure: 1. Database; 2. Master data governance system; 3. Data preprocessing platform; 4. Administrative data acquisition system; 5. Data risk assessment platform; 6. Data storage platform; 7. Data encryption platform; 8. Data scanning module; 9. Data entry module; 10. Data reading module; 11. Data desensitization module; 12. Data sorting module; 13. Data cleaning module; 14. Data decision module; 15. Basic classification unit; 16. Correlation analysis unit; 17. Thematic classification unit; 18. Management classification unit; 19. Statistical analysis unit; 20. Mining analysis unit; 21. Predictive analysis unit; 22. Data standardization unit; 23. Data deduplication unit; 24. Data error correction unit; 25. Data conversion unit; 26. Data verification unit; 27. Shared data decision unit ; 28. Private data decision unit; 29. ​​Type assessment module; 30. Risk assessment unit; 31. Phase assessment unit; 32. Comprehensive assessment calculation module; 33. Environmental risk unit; 34. Technical risk unit; 35. Schedule risk unit; 36. Management risk unit; 37. Quality risk unit; 38. Risk level assessment unit; 39. Risk controllability assessment unit; 40. Outline phase assessment unit; 41. Summary phase assessment unit; 42. Detailed phase assessment unit; 43. Coding phase assessment unit; 44. Testing phase assessment unit; 45. Maintenance phase assessment unit; 46. Assessment identification module; 47. Encryption algorithm library; 48. Random selection module; 49. Data encryption module; 50. Key generation module; 51. Data classification module; 52. Data analysis module. DETAILED DESCRIPTION

[0033] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples of the specification. The following examples are only used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0034] like Figure 1-Figure 6 As shown, this embodiment proposes an administrative platform data management system, including an administrative data acquisition system 4, which is connected to a data preprocessing platform 3 through data transmission technology, and is used to preprocess the acquired administrative data. The data preprocessing platform 3 is connected to a master data governance system 2 through data transmission technology, and is used to govern the preprocessed administrative data. The master data governance system 2 is connected to a database 1 through data transmission technology, and is used to store the governed administrative data.

[0035] The master data governance system 2 includes a data risk assessment platform 5, a data storage platform 6 and a data encryption platform 7. The data risk assessment platform 5 is used to assess the risk value of administrative data, the data encryption platform 7 is used to encrypt administrative data after risk assessment, and the data storage platform 6 is used to temporarily store administrative data that has been assessed and encrypted;

[0036] The data preprocessing platform 3 includes a data classification module 51, a data analysis module 52, a data cleaning module 13 and a data decision module 14. The data cleaning module 13 is used to clean the acquired administrative data, the data classification module 51 is used to classify the cleaned administrative data, the data analysis module 52 is used to analyze the classified administrative data, and the data decision module 14 is used to make decisions on the analyzed administrative data;

[0037] The data risk assessment platform 5 includes a type assessment module 29, a risk assessment unit 30, a stage assessment unit 31 and a comprehensive assessment calculation module 32. The stage assessment unit 31 is used to assess and analyze the stages of administrative data. The type assessment module 29 is used to assess and analyze the types of administrative data. The risk assessment unit 30 is used to assess the risk level and controllable range of administrative data based on the analysis results of the stage assessment unit 31 and the type assessment module 29. The comprehensive assessment calculation module 32 is used to comprehensively evaluate the risk coefficient of administrative data based on the assessment results of the risk assessment unit 30.

[0038] In this embodiment, the administrative data acquisition system 4 includes a data scanning module 8, a data entry module 9 and a data reading module 10. The data scanning module 8, the data entry module 9 and the data reading module 10 are all connected to the data desensitizing module 11 through data transmission technology, and are used to desensitize the acquired administrative data and remove anonymization and identification from the administrative data. The data desensitizing module 11 is connected to the data sorting module 12 through data transmission technology, and is used to preliminarily sort the desensitized administrative data and upload it to the data preprocessing platform 3.

[0039] In this embodiment, the data cleaning module 13 includes a data standardization unit 22, a data deduplication unit 23, a data error correction unit 24, a data conversion unit 25 and a data verification unit 26. The data standardization unit 22 is used to standardize administrative data from different sources, the data deduplication unit 23 is used to remove duplicate administrative data, the data error correction unit 24 is used to correct errors or missing values ​​in administrative data, the data conversion unit 25 is used to convert data into a format suitable for analysis and processing, and the data verification unit 26 is used to verify the data, including whether multiple sample variances have significant differences and the degree of correlation between two variables. The expression for whether multiple sample variances have significant differences is: , where and are the variances of the two samples respectively, and the expression of the correlation between the two variables is: , where and are the mean values ​​of the samples, and are the i-th observation values ​​respectively, and the value range of r is -1~1.

[0040] By judging whether the variances of multiple samples have significant differences Z and the value r of the correlation between two variables, the similarity between multiple data in the administrative data can be judged, the efficiency of data cleaning can be improved, the administrative data from different sources can be standardized, and duplicate administrative data can be removed to facilitate the correction of errors or missing values ​​in the administrative data and improve the efficiency of subsequent data analysis.

[0041] In this embodiment, the data classification module 51 includes a basic classification unit 15, a correlation analysis unit 16, a thematic classification unit 17 and a management classification unit 18. The basic classification unit 15, the correlation analysis unit 16, the thematic classification unit 17 and the management classification unit 18 are used to classify and manage different administrative data using different classification management standards.

[0042] In this embodiment, the data analysis module 52 includes a statistical analysis unit 19, a mining analysis unit 20, and a prediction analysis unit 21. The statistical analysis unit 19 is used to analyze, summarize, and count administrative data from different angles and different granularities according to the requirements of the administrative management department, and to reveal the administrative data characteristics of things in a specific time, region, and specific situation through numbers. The mining analysis unit 20 is used to establish the association relationship between data according to the needs of different administrative management departments, discover hidden relationships and association patterns in the data, and solve the data island problem. The prediction analysis unit 21 is used to analyze and determine the probability of an event based on a large amount of historical data. Its expression is: , where is the number of occurrences of the event, is the number of times a historical event occurs, is the probability of occurrence of historical events.

[0043] In this embodiment, the data decision module 14 includes a shared data decision unit 27 and a private data decision unit 28, which are used to determine whether the data can be shared among various administrative departments based on the analysis results of the data analysis module 52.

[0044] By screening scattered, messy, identical or similar data in administrative data, establishing the relationship between data according to the needs of different administrative departments, discovering hidden relationships and association patterns in the data, solving the problem of data islands, and analyzing and judging the probability of event occurrence based on a large amount of historical data, and judging the shared data and private data, it is possible to effectively screen out valid data when governing administrative data in the later stage, thereby improving the efficiency of subsequent administrative data governance.

[0045] In this embodiment, the stage evaluation unit 31 includes an outline stage evaluation unit 40, an overview stage evaluation unit 41, a detailed stage evaluation unit 42, a coding stage evaluation unit 43, a testing stage evaluation unit 44, and a maintenance stage evaluation unit 45, which are used to divide the stages in the life cycle when events in administrative data may occur into six levels, denoted as A, namely The type assessment module 29 includes an environmental risk unit 33, a technical risk unit 34, a schedule risk unit 35, an assessment identification module 46, and a quality risk unit 37, which are used to classify the impact of events in administrative data into five levels, denoted as B, i.e. .

[0046] In this embodiment, the risk assessment unit 30 includes a risk level assessment unit 38 and a risk controllability assessment unit 39. The risk level assessment unit 38 is used to assess the risk level, and its expression is: , the risk controllable assessment unit 39 is used to assess the risk controllable range, and its expression is: , where Correction value for existing experience.

[0047] In this embodiment, the comprehensive evaluation calculation module 32 comprehensively evaluates the administrative data. The risk coefficient expression of the administrative data is: .

[0048] In this embodiment, the data encryption platform 7 includes an assessment and identification module 46 and an encryption algorithm library 47. The assessment and identification module 46 and the encryption algorithm library 47 are connected to the random selection module 48 through data transmission technology. The random selection module 48 is connected to the data encryption module 49 through data transmission technology. The data encryption module 49 is connected to the key generation module 50 through data transmission technology. It is used to randomly select an encryption algorithm from the encryption algorithm library 47 according to the identified administrative risk coefficient to encrypt the administrative data and generate a key.

[0049] By evaluating the risk level and risk coefficient of events in the screened administrative data, we can achieve effective governance of administrative data, encrypt the governed data, improve the efficiency of judging the priority level of administrative data, improve the efficiency of processing events in administrative data, and thus improve the effectiveness of administrative data management.

[0050] The above embodiments are only used to illustrate the present invention, but not to limit the present invention. Although the present invention is described in detail with reference to the embodiments, it should be understood by those skilled in the art that various combinations, modifications or equivalent substitutions of the technical solutions of the present invention do not depart from the spirit and scope of the technical solutions of the present invention, and should be included in the scope of the claims of the present invention.

Claims

1. An administrative platform data management system, comprising an administrative data acquisition system (4), characterized in that: The administrative data acquisition system (4) is connected to the data preprocessing platform (3) through data transmission technology, and is used to preprocess the acquired administrative data. The data preprocessing platform (3) is connected to the master data management system (2) through data transmission technology, and is used to manage the preprocessed administrative data. The master data management system (2) is connected to the database (1) through data transmission technology, and is used to store the managed administrative data. The master data governance system (2) comprises a data risk assessment platform (5), a data storage platform (6) and a data encryption platform (7), wherein the data risk assessment platform (5) is used to assess the risk value of administrative data, the data encryption platform (7) is used to encrypt administrative data after risk assessment, and the data storage platform (6) is used to temporarily store administrative data that has been assessed and encrypted; The data preprocessing platform (3) comprises a data classification module (51), a data analysis module (52), a data cleaning module (13) and a data decision module (14), wherein the data cleaning module (13) is used to clean the acquired administrative data, the data classification module (51) is used to classify the cleaned administrative data, the data analysis module (52) is used to analyze the classified administrative data, and the data decision module (14) is used to make decisions on the analyzed administrative data; The data risk assessment platform (5) comprises a type assessment module (29), a risk assessment unit (30), a stage assessment unit (31) and a comprehensive assessment calculation module (32), wherein the stage assessment unit (31) is used to assess and analyze the stages of administrative data, the type assessment module (29) is used to assess and analyze the types of administrative data, the risk assessment unit (30) is used to assess the risk level and controllable range of administrative data based on the analysis results of the stage assessment unit (31) and the type assessment module (29), and the comprehensive assessment calculation module (32) is used to comprehensively evaluate the risk coefficient of administrative data based on the assessment results of the risk assessment unit (30).

2. The administrative platform data management system according to claim 1, characterized in that: The administrative data acquisition system (4) comprises a data scanning module (8), a data entry module (9) and a data reading module (10). The data scanning module (8), the data entry module (9) and the data reading module (10) are all connected to the data desensitization module (11) via data transmission technology, and are used to desensitize the acquired administrative data and remove anonymization and identification from the administrative data. The data desensitization module (11) is connected to the data sorting module (12) via data transmission technology, and is used to preliminarily sort the desensitized administrative data and upload it to the data preprocessing platform (3).

3. The administrative platform data management system according to claim 1, characterized in that: The data cleaning module (13) includes a data standardization unit (22), a data deduplication unit (23), a data error correction unit (24), a data conversion unit (25) and a data verification unit (26), wherein the data standardization unit (22) is used to perform standardization processing on administrative data from different sources, the data deduplication unit (23) is used to remove duplicate administrative data, the data error correction unit (24) is used to correct errors or missing values ​​in administrative data, the data conversion unit (25) is used to convert data into a format suitable for analysis and processing, and the data verification unit (26) is used to verify the data, including whether multiple sample variances have significant differences and the degree of correlation between two variables, and the expression for whether the multiple sample variances have significant differences is: , where and are the variances of the two samples respectively, and the expression of the correlation degree between the two variables is: , where and are the mean values ​​of the samples, and are the i-th observation values ​​respectively, and the value range of r is -1~1.

4. The administrative platform data management system according to claim 1, characterized in that: The data classification module (51) includes a basic classification unit (15), a correlation analysis unit (16), a thematic classification unit (17) and a management classification unit (18). The basic classification unit (15), the correlation analysis unit (16), the thematic classification unit (17) and the management classification unit (18) are used to classify and manage different administrative data using different classification management standards.

5. The administrative platform data management system according to claim 1, characterized in that: The data analysis module (52) includes a statistical analysis unit (19), a mining analysis unit (20) and a prediction analysis unit (21). The statistical analysis unit (19) is used to analyze, summarize and count administrative data from different angles and different granularities according to the requirements of the administrative management department, and to reveal administrative data characteristics of things in specific time, region and specific situation through numbers. The mining analysis unit (20) is used to establish associations between data according to the needs of different administrative management departments, to discover hidden relationships and association patterns in the data, and to solve the problem of data islands. The prediction analysis unit (21) is used to analyze and determine the probability of an event based on a large amount of historical data. The expression is: , where is the number of occurrences of the event, is the number of times a historical event occurs, is the probability of occurrence of historical events.

6. The administrative platform data management system according to claim 1, characterized in that: The data decision module (14) comprises a shared data decision unit (27) and a private data decision unit (28), which are used to determine whether the data can be shared among administrative departments based on the analysis results of the data analysis module (52).

7. The administrative platform data management system according to claim 1, characterized in that: The stage evaluation unit (31) includes an outline stage evaluation unit (40), an overview stage evaluation unit (41), a detailed stage evaluation unit (42), a coding stage evaluation unit (43), a testing stage evaluation unit (44) and a maintenance stage evaluation unit (45), which are used to divide the stages in the life cycle when events in administrative data may occur into six levels, denoted as A, namely The type assessment module (29) includes an environmental risk unit (33), a technical risk unit (34), a schedule risk unit (35), an assessment identification module (46) and a quality risk unit (37), which are used to classify the impact of events in administrative data into five levels, denoted as B, namely .

8. The administrative platform data management system according to claim 1, characterized in that: The risk assessment unit (30) comprises a risk level assessment unit (38) and a risk controllability assessment unit (39). The risk level assessment unit (38) is used to assess the risk level, and the expression is: , the risk controllability assessment unit (39) is used to assess the risk controllability range, and its expression is: , where Correction value for existing experience.

9. The administrative platform data management system according to claim 1, characterized in that: The comprehensive evaluation calculation module (32) comprehensively evaluates administrative data. The risk coefficient expression of administrative data is: .

10. The administrative platform data management system according to claim 1, characterized in that: The data encryption platform (7) includes an assessment and identification module (46) and an encryption algorithm library (47), wherein the assessment and identification module (46) and the encryption algorithm library (47) are both connected to a random selection module (48) via data transmission technology, wherein the random selection module (48) is connected to a data encryption module (49) via data transmission technology, wherein the data encryption module (49) is connected to a key generation module (50) via data transmission technology, and is used to randomly select an encryption algorithm from the encryption algorithm library (47) according to the identified administrative risk coefficient to encrypt administrative data and generate a key.

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