Data asset management control method and system

Abstract

The invention discloses a data asset management control method and system, and relates to the field of data asset management, and the method comprises the steps: S1, obtaining initial information, analyzing the initial information to obtain a data field contained in the initial information, sorting the data into a plurality of data groups according to the data field, s2, sorting and analyzing data in the plurality of data groups to obtain a plurality of standard data groups; s3, determining security levels of different standard data groups according to data sensitive information and data popularity information in different standard data; and S4, constructing a data conversion platform, converting the data in the plurality of data groups to obtain a target database, and constructing a knowledge graph according to the target database to generate a knowledge panorama. According to the asset management control method provided by the invention, the data quality is improved, the data island problem is effectively improved, and the overall security level is improved.

Description

Technical Field

[0001] The present invention relates to the field of data asset management, and in particular to a data asset management control method and system. Background Art

[0002] Data silos refer to the inability to effectively share and integrate data between departments or systems within an enterprise, resulting in scattered and isolated data. This phenomenon stems from technology heterogeneity, business barriers, data security and privacy issues, which hinder the interconnection and value mining of data.

[0003] Low data quality is mainly manifested in missing values, duplicate records, erroneous information and other issues. Low-quality data will affect the accuracy and reliability of analysis results, thereby affecting the effectiveness of decision-making. Improving data quality requires the establishment of unified data standards and monitoring mechanisms.

[0004] Poor data security means that data is exposed to risks such as leakage and tampering during storage, transmission and use. Enterprises need to adopt strict data access control, encryption mechanisms and security audit measures to ensure data security and privacy protection, and avoid economic losses and reputation damage caused by security issues.

[0005] Therefore, there is an urgent need for a data asset management control method and system to improve the data island problem. Summary of the invention

[0006] To solve the above problems, the present application provides a data asset management control method and system, comprising the following steps: S1. Acquire initial information, analyze the initial information to obtain data fields contained in the initial information, and organize the data into a plurality of data groups according to the data fields, wherein the data groups include a plurality of data subgroups; S2. Arrange and analyze the data in the plurality of data groups to obtain a plurality of standard data groups; S3. Determine the target security requirements of different standard data groups according to the data sensitivity information and data popularity information in different standard data groups; S4. Build a data conversion platform, convert the data in several data groups to obtain a target database, and build a knowledge graph based on the target database to generate a knowledge panorama.

[0007] Preferably, the data domain in S1 includes different data systems and different enterprise departments; Extracting the initial information once according to different data systems to obtain several data groups; The system data group is extracted again according to different enterprise departments to obtain several data groupings.

[0008] Preferably, in S2, the specific contents of the several standard data groups obtained by sorting and analyzing the data in the several data groups are: Construct a data time distribution axis, and extract characteristic information of several data groups according to the data time distribution axis, wherein the characteristic information includes time node information, data sensitive nodes, and data heat nodes; Extracting characteristic information of a number of data groups, wherein the characteristic information includes time node information, data sensitivity level and data heat node; The similarity of characteristic information of different data grouping information is calculated, a similarity threshold is preset, and data groups with similarity within the similarity threshold are selected for data verification and data supplementation.

[0009] Match the similarity of feature information based on the usage of different data.

[0010] Preferably, the specific content of constructing the time distribution axis is: Establish a time axis, and establish several data circles with different radii with the starting point of the time axis as the center; Obtain data categories, determine the importance of different data categories, and determine the radius length based on the importance; Mark the data of the same category evenly on the data circle of the corresponding radius, and render them in color levels according to the sensitivity of the data; According to the data, time is marked on the time axis to obtain the data time distribution axis.

[0011] Preferably, the specific content of determining the target security requirements of different standard data groups according to the data sensitivity information and data popularity information in different standard data groups in S3 is: A data sensitive information protection specification is preset, and sensitive security requirement identification is performed on the standard data group according to the data sensitive information to generate first security requirement information, wherein the data sensitive information includes: sensitive data mode and sensitive keywords; Obtain the environment conditions in which the data heat information is generated and the application conditions in which the data heat information is used, and analyze the environment conditions and application conditions to obtain the environmental security requirements and application security requirements of the data heat information; Performing security identification of environmental security requirements on the first security requirement information to generate second security requirement information, wherein the environmental security requirements include: operation and maintenance environment, network environment, software environment, application environment, and hardware environment; The second security requirement information is subjected to security identification of application security requirements to generate target requirements, wherein the application security requirements include: traffic domain, user domain, sales domain, transaction domain, after-sales domain, financial domain, customer service center domain, content domain and product domain.

[0012] Preferably, a data conversion platform is constructed to convert the data in several data groups to obtain the specific contents of the target database: Determine the security level of the data conversion platform based on security requirements and configure security policies for the data conversion platform; Performing data conversion tasks on data in a plurality of data groups in combination with a data conversion tool to obtain converted data; The transformed data is loaded into the target database and validated to ensure data accuracy and completeness.

[0013] A data asset management control system, comprising: Information acquisition module: acquires initial information, analyzes the initial information to obtain data domains contained in the initial information, and organizes the data into several data groups according to the data domains, wherein the data groups include several data subgroups; Information sorting module: sorting and analyzing the data in several data groups to obtain several standard data groups; Security requirement identification module: determines the security level of different standard data groups based on the data sensitivity information and data popularity information in different standard data; Conversion processing module: Build a data conversion platform, convert the data in several data groups to obtain the target database, and build a knowledge graph based on the target database to generate a knowledge panorama.

[0014] A control device includes a processor and a storage device, wherein the storage device is suitable for storing multiple program codes, and is characterized in that the program codes are suitable for being loaded and run by the processor to execute a data asset management control method.

[0015] A computer-readable storage medium stores a plurality of program codes, wherein the program codes are suitable for being loaded and run by a processor to execute a data asset management control method.

[0016] To sum up, compared with traditional technologies, the data asset management control method and system of the present invention groups the original data, organizes the data into several data groups according to the data domain, establishes a data time distribution axis to extract the characteristic information of several data groups, supplements the missing data, effectively improves the data island problem while improving the data quality, and enhances the overall security level.

[0017] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A flow chart of a data asset management control method of the present invention; Figure 2This is a module schematic diagram of a data asset management and control system of the present invention. DETAILED DESCRIPTION

[0019] The technical solution of the present invention is further described below by means of the accompanying drawings and embodiments. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values ​​described in these embodiments do not limit the scope of the present application.

[0020] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present application, its application, or uses.

[0021] Technologies, systems, and devices known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, systems, and devices should be considered part of the specification.

[0022] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0023] Unless otherwise defined, technical or scientific terms used in the present invention shall have the common meanings understood by one having ordinary skills in the field to which the present invention belongs.

[0024] like Figure 1 As shown, the present invention provides a data asset management control method and system, S1, obtaining initial information, analyzing the initial information to obtain data domains contained in the initial information, and arranging the data into a plurality of data groups according to the data domains, wherein the data groups include a plurality of data subgroups; Preferably, the data domain in S1 includes different data systems and different enterprise departments; Extracting the initial information once according to different data systems to obtain several data groups; The system data group is extracted again according to different enterprise departments to obtain several data groupings.

[0025] S2. Arrange and analyze the data in the plurality of data groups to obtain a plurality of standard data groups; Preferably, in S2, the specific contents of the several standard data groups obtained by sorting and analyzing the data in the several data groups are: Construct a data time distribution axis, and extract characteristic information of several data groups according to the data time distribution axis, wherein the characteristic information includes time node information, data sensitive nodes, and data heat nodes; Extracting characteristic information of a number of data groups, wherein the characteristic information includes time node information, data sensitivity level and data heat node; The similarity of characteristic information of different data grouping information is calculated, a similarity threshold is preset, and data groups with similarity within the similarity threshold are selected for data verification and data supplementation.

[0026] Match the similarity of feature information based on the usage of different data.

[0027] Preferably, the specific content of constructing the time distribution axis is: Establish a time axis, and establish several data circles with different radii with the starting point of the time axis as the center; Obtain data categories, determine the importance of different data categories, and determine the radius length based on the importance; Mark the data of the same category evenly on the data circle of the corresponding radius, and render them in color levels according to the sensitivity of the data; According to the data, time is marked on the time axis to obtain the data time distribution axis.

[0028] S3. Determine the target security requirements of different standard data groups according to the data sensitivity information and data popularity information in different standard data groups; Preferably, the specific content of determining the target security requirements of different standard data groups according to the data sensitivity information and data popularity information in different standard data groups in S3 is: A data sensitive information protection specification is preset, and sensitive security requirement identification is performed on the standard data group according to the data sensitive information to generate first security requirement information, wherein the data sensitive information includes: sensitive data mode and sensitive keywords; Obtain the environment conditions in which the data heat information is generated and the application conditions in which the data heat information is used, and analyze the environment conditions and application conditions to obtain the environmental security requirements and application security requirements of the data heat information; Performing security identification of environmental security requirements on the first security requirement information to generate second security requirement information, wherein the environmental security requirements include: operation and maintenance environment, network environment, software environment, application environment, and hardware environment; The second security requirement information is subjected to security identification of application security requirements to generate target requirements, wherein the application security requirements include: traffic domain, user domain, sales domain, transaction domain, after-sales domain, financial domain, customer service center domain, content domain and product domain.

[0029] S4. Build a data conversion platform, convert the data in several data groups to obtain a target database, and build a knowledge graph based on the target database to generate a knowledge panorama.

[0030] Preferably, a data conversion platform is constructed to convert the data in several data groups to obtain the specific contents of the target database: Determine the security level of the data conversion platform based on security requirements and configure security policies for the data conversion platform; Performing data conversion tasks on data in a plurality of data groups in combination with a data conversion tool to obtain converted data; The transformed data is loaded into the target database and validated to ensure data accuracy and completeness.

[0031] like Figure 2 As shown, a data asset management control system includes: Information acquisition module: acquires initial information, analyzes the initial information to obtain data domains contained in the initial information, and organizes the data into several data groups according to the data domains, wherein the data groups include several data subgroups; Information sorting module: sorting and analyzing the data in several data groups to obtain several standard data groups; Security requirement identification module: determines the security level of different standard data groups based on the data sensitivity information and data popularity information in different standard data; Conversion processing module: Build a data conversion platform, convert the data in several data groups to obtain the target database, and build a knowledge graph based on the target database to generate a knowledge panorama.

[0032] A control device includes a processor and a storage device, wherein the storage device is suitable for storing multiple program codes, and is characterized in that the program codes are suitable for being loaded and run by the processor to execute a data asset management control method.

[0033] A computer-readable storage medium stores a plurality of program codes, wherein the program codes are suitable for being loaded and run by a processor to execute a data asset management control method.

[0034] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A data asset management control method and system, characterized in that: The following steps are involved: S1. Acquire initial information, analyze the initial information to obtain data fields contained in the initial information, and organize the data into a plurality of data groups according to the data fields, wherein the data groups include a plurality of data subgroups; S2. Arrange and analyze the data in the plurality of data groups to obtain a plurality of standard data groups; S3. Determine the target security requirements of different standard data groups according to the data sensitivity information and data popularity information in different standard data groups; S4. Build a data conversion platform, convert the data in several data groups to obtain a target database, and build a knowledge graph based on the target database to generate a knowledge panorama.

2. A data asset management control method and system according to claim 1, characterized in that: The data domain in S1 includes different data systems and different enterprise departments; Extracting the initial information once according to different data systems to obtain several data groups; The system data group is extracted again according to different enterprise departments to obtain several data groupings.

3. A data asset management control method and system according to claim 2, characterized in that: In S2, the data in several data groups are sorted and analyzed to obtain several standard data groups, and the specific contents are as follows: Construct a data time distribution axis, and extract characteristic information of several data groups according to the data time distribution axis, wherein the characteristic information includes time node information, data sensitive nodes, and data heat nodes; Extracting characteristic information of a number of data groups, wherein the characteristic information includes time node information, data sensitivity level and data heat node; Calculate the similarity of feature information of different data group information, preset a similarity threshold, and take the data group with similarity within the similarity threshold for data verification and data supplement; Match the similarity of feature information based on the usage of different data.

4. A data asset management control method and system according to claim 3, characterized in that: The specific contents of constructing the time distribution axis are: Establish a time axis, and establish several data circles with different radii with the starting point of the time axis as the center; Obtain data categories, determine the importance of different data categories, and determine the radius length based on the importance; Mark the data of the same category evenly on the data circle of the corresponding radius, and render them in color levels according to the sensitivity of the data; According to the data, time is marked on the time axis to obtain the data time distribution axis.

5. A data asset management control method and system according to claim 4, characterized in that: In S3, the specific contents of the target security requirements of different standard data groups are determined according to the data sensitivity information and data popularity information in different standard data groups: A data sensitive information protection specification is preset, and sensitive security requirement identification is performed on the standard data group according to the data sensitive information to generate first security requirement information, wherein the data sensitive information includes: sensitive data mode and sensitive keywords; Obtain the environment conditions in which the data heat information is generated and the application conditions in which the data heat information is used, and analyze the environment conditions and application conditions to obtain the environmental security requirements and application security requirements of the data heat information; Performing security identification of environmental security requirements on the first security requirement information to generate second security requirement information, wherein the environmental security requirements include: operation and maintenance environment, network environment, software environment, application environment, and hardware environment; The second security requirement information is subjected to security identification of application security requirements to generate target requirements, wherein the application security requirements include: traffic domain, user domain, sales domain, transaction domain, after-sales domain, financial domain, customer service center domain, content domain and product domain.

6. A data asset management control method and system according to claim 5, characterized in that: Build a data conversion platform to convert the data in several data groups to obtain the specific contents of the target database: Determine the security level of the data conversion platform based on security requirements and configure security policies for the data conversion platform; Performing data conversion tasks on data in a plurality of data groups in combination with a data conversion tool to obtain converted data; The transformed data is loaded into the target database and validated to ensure data accuracy and completeness.

7. A data asset management control system, characterized in that: include: Information acquisition module: acquires initial information, analyzes the initial information to obtain data domains contained in the initial information, and organizes the data into several data groups according to the data domains, wherein the data groups include several data subgroups; Information sorting module: sorting and analyzing the data in several data groups to obtain several standard data groups; Security requirement identification module: determines the security level of different standard data groups based on the data sensitivity information and data popularity information in different standard data; Conversion processing module: Build a data conversion platform, convert the data in several data groups to obtain the target database, and build a knowledge graph based on the target database to generate a knowledge panorama.

8. A control device, comprising a processor and a storage device, wherein the storage device is suitable for storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by the processor to execute the data asset management control method according to any one of claims 1 to 7.

9. A computer-readable storage medium storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by a processor to execute the data asset management control method according to any one of claims 1 to 7.

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