Data management method and system based on information classification and coding

Abstract

The invention relates to the technical field of data processing, and particularly discloses a data governance method and system based on information classification and coding, and the method comprises the steps: carrying out the standardized coding of enterprise data in the form of digital objects; wherein the digital objects comprise a process object, an entity object and a service object; determining a data element derived from the digital object according to the standardized code, and analyzing a relationship between the digital object and the data element; based on the relationship between the digital object and the data element, realizing connection between a producer and a consumer of enterprise data by utilizing data model management; and dynamically configuring data quality inspection items and standards for a producer of the enterprise data according to the business rules, and performing quality verification to obtain data which does not meet the standards, thereby realizing real-time data quality monitoring.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a data management method and system based on information classification and coding. Background Art

[0002] Data governance is a systematic task that involves all aspects of the enterprise. A complete data governance system and platform not only needs to combine the enterprise's top-level design, thematic management of different data elements and data application methods, but also needs to consider how to break down business and technical barriers, connect the source and use of data, and reduce repetitive work and investment such as information collection and repeated data collection.

[0003] The existing data governance platform generally carries out special governance activities according to the modules in the data governance system and builds corresponding support systems. For example, if master data management is carried out, a master data management system is built; if special data quality management is implemented, a data quality management platform is built separately to carry out relevant implementation work. Data governance work activities are relatively scattered, and the correlation between modules is poor, which is not easy to manage. Development requires a lot of data integration work to ensure the smooth progress of data governance work. The coupling degree of each governance module is low, which also makes it difficult for the data governance platform to monitor the operation of data assets from a global perspective, and it is impossible to monitor the progress of enterprise data governance work, data standardization, and data asset usage in a three-dimensional way. Multi-dimensional data governance display is the "weather vane" for carrying out data governance work, which is of great significance for driving data governance work. The existing data governance platform cannot connect to the data production source in real time, and it is difficult to achieve full data standard monitoring of the enterprise, and lacks a preventive strategy for quickly discovering data standard defects. The data governance platform only displays standardized data assets when carrying out data governance activities, which only reflects the means of business dataization, but is not combined with the core goal of data governance (improvement of enterprise business level), and has not extended to the application level of data. The existing data governance platform can only support simple data application scenarios, its data processing and application capabilities are still relatively weak, and the momentum for data application innovation is insufficient.

[0004] Therefore, there is an urgent need to build a complete and systematic data governance architecture, standardized processes and methods, and implement them in the business information system. The two complement each other and do a good job in data standardization management, so that data comes from the business and eventually returns to the business, so as to achieve the effect of empowering the enterprise with data. Summary of the invention

[0005] To achieve the purpose of the present invention, the present application provides a data governance method based on information classification and coding, including: Step S1: Standardize and encode enterprise data in the form of digital objects; Wherein, the digital objects include: process objects, entity objects and service objects; Step S2: determining the data elements derived from the digital object according to the standardized code, and analyzing the relationship between the digital object and the data elements; Step S3: Based on the relationship between the digital object and the data elements, the data model management is used to realize the connection between the producer and the consumer of the enterprise data; Step S4: Dynamically configure data quality inspection items and standards for the producer of enterprise data according to business rules, and perform quality verification to obtain data that does not meet the standards and achieve real-time data quality monitoring.

[0006] In some specific embodiments, the step S1 includes: The enterprise data is divided into business scenario processes, business operation actions and business execution results. The business scenario processes, business operation actions and business execution results are abstracted into digital objects, which correspond to the business scope, data scope and application scope of the enterprise respectively.

[0007] In some specific embodiments, step S2 includes: Step S21: formulating an information classification framework based on the classification of the digital objects; Step S22: describing the classification, hierarchy, boundary, scope and input or output relationship of the enterprise process according to the process object classification framework; Step S23: describing objectively existing resource objects and business form objects created or used in business activities according to the entity object classification framework; Wherein, the entity objects include resource entity objects and business entity objects; Step S24: Integrate various digital objects and data element identification codes according to the service class object classification framework and formulate coding standards for various digital objects and data elements.

[0008] In some specific embodiments, step S3 includes: Connect various digital objects to the database to obtain information comparison between the standardized data content of the various digital objects and the database content, including the standardization of data models, the relationship between models, and whether there are any missing model contents.

[0009] In some specific embodiments, step S3 further includes: The digital objects are securely managed by setting up the data management department, maintenance department and user department of the digital objects, determining the responsibilities of the data stakeholders, and using the data security classification and grading as the guide to achieve refined data desensitization and data permission control according to the protection requirements of different security levels.

[0010] To achieve the same invention purpose, the present application also provides a data governance system based on information classification and coding, including: Data standardization module: used to standardize and encode enterprise data in the form of digital objects; Wherein, the digital objects include: process objects, entity objects and service objects; Data relationship determination module: used to determine the data elements derived from the digital object according to the standardized coding, and analyze the relationship between the digital object and the data elements; Data connection module: used to realize the connection between the producer and the consumer of enterprise data by using data model management based on the relationship between the digital objects and the data elements; Data verification module: used to dynamically configure data quality inspection items and standards for the producers of enterprise data according to business rules, and perform quality verification to obtain data that does not meet the standards and realize real-time data quality monitoring.

[0011] In some specific embodiments, the data standardization module is used to: The enterprise data is divided into business scenario processes, business operation actions and business execution results. The business scenario processes, business operation actions and business execution results are abstracted into digital objects, which correspond to the business scope, data scope and application scope of the enterprise respectively.

[0012] In some specific embodiments, the data relationship determination module is used to perform the following steps: Step S21: formulating an information classification framework based on the classification of the digital objects; Step S22: describing the classification, hierarchy, boundary, scope and input or output relationship of the enterprise process according to the process object classification framework; Step S23: describing objectively existing resource objects and business form objects created or used in business activities according to the entity object classification framework; Wherein, the entity objects include resource entity objects and business entity objects; Step S24: Integrate various digital objects and data element identification codes according to the service class object classification framework and formulate coding standards for various digital objects and data elements.

[0013] In some specific embodiments, the data connection module is used to: Connect various digital objects with the database to obtain information comparison between the standardized data content of the various digital objects and the actual database content, including the standardization of data models, the relationship between models, and whether there are any missing model contents.

[0014] In some specific embodiments, the data connection module is further used for: The digital objects are securely managed by setting up the data management department, maintenance department and user department of the digital objects, determining the responsibilities of the data stakeholders, and using the data security classification and grading as the guide to achieve refined data desensitization and data permission control according to the protection requirements of different security levels.

[0015] Beneficial effects of the above technical solution: Compared with the existing solutions in the background technology, the present invention, through the systematization of data governance content, connects the relationship between process objects, entity objects and service objects, and has significant advantages in the following aspects: 1) Reduced total cost: By improving the synergy between modules, the implementation and maintenance costs are reduced; through highly integrated module design and coding mechanisms, enterprises can reduce the manpower and material costs in the data governance process. Through efficient module linkage and coding management mechanisms, the complexity of system integration and subsequent maintenance is reduced, thereby reducing overall costs and improving the economic benefits of enterprises.

[0016] 2) Simplify system complexity: Through a simple and clear object association structure, the entry threshold is raised and the difficulty of use is reduced. Data is classified and a unique code is assigned to each type of data. This process provides a clear identification for subsequent governance, ensuring that the tracking and management of data flow is more efficient.

[0017] 3) Enhanced responsiveness and flexibility: Implementing a real-time data feedback mechanism enables enterprises to quickly adjust data governance strategies and maintain competitiveness in a dynamic business environment.

[0018] 4) Enhanced data quality monitoring: Built-in intelligent data quality detection algorithm ensures continuous and efficient data governance.

[0019] 5) Easy integration: Supports seamless integration with other data management and analysis tools, such as ETL tools, BI platforms, and big data platforms.

[0020] These advantages mean that companies can achieve higher operational efficiency and quality management at lower costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1A flowchart of a data management method based on information classification and coding provided by an embodiment of the present invention; Figure 2 A schematic diagram of three types of digital objects in a data management method based on information classification and coding provided by an embodiment of the present invention; Figure 3 A schematic diagram of information framework classification of a data governance method based on information classification and coding provided by an embodiment of the present invention; Figure 4 A schematic diagram of an example of a service class object classification framework of a data governance method based on information classification and coding provided by an embodiment of the present invention; Figure 5 A schematic diagram of the structure of a data management system based on information classification and coding provided by an embodiment of the present invention; Figure 6 A schematic diagram of the overall framework of a data governance system based on information classification and coding is provided for one embodiment of the present invention. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0024] Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar symbols throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0025] Embodiment 1

[0026] An embodiment of the present invention provides a data management method based on information classification and coding, referring to Figure 1 As shown, including: Step S1: Standardize and encode enterprise data in the form of digital objects; wherein the digital objects include process objects, entity objects and service objects.

[0027] In a specific embodiment of the present invention, the step S1 comprises: The enterprise data is divided into business scenario processes, business operation actions and business execution results. The business scenario processes, business operation actions and business execution results are abstracted into digital objects, which correspond to the business scope, data scope and application scope of the enterprise respectively.

[0028] Specifically, a process object refers to the process of directly completing resource value-added business activities in the business activities of an enterprise. It is used to describe or represent the objects of related entities or processes in a business process. A process object is a sequence of one or a group of activities, through which specific business goals can be achieved. For example: marketing activity process, production process, enterprise annual comprehensive planning process, etc. Entity objects are abstractions of specific things in the real world. They are the input or output of the activity process in the process object. For example, in a marketing activity management process, the entity objects in the marketing activity budget formulation link may include a marketing activity budget table. Service objects are the embodiment of the process in the application system function. They are specific operations (creation, modification, query, deletion) on entity objects. They can also be understood as functions created by the system. They are derived based on the results of the process object sorting and the functional requirements of this asset in the actual system application. For example, in a marketing activity, the marketing activity budget formulation link produces an entity marketing activity budget table, and its corresponding service object is the newly added marketing activity budget table.

[0029] Step S2: Determine the data elements derived from the digital object according to the standardized code, and analyze the relationship between the digital object and the data elements.

[0030] In a specific embodiment of the present invention, step S2 includes: Step S21: formulating an information classification framework based on the classification of the digital objects.

[0031] Specifically, refer to Figure 2 and Figure 3 As shown in the figure, data is a mapping of the enterprise's business. This technology abstracts three types of digital objects from the business scenario process, business operation action, and business execution result in the real world, which correspond to the business scope, data scope, and application scope of the enterprise respectively. Process object refers to the process of directly completing resource value-added business activities in the business activities of the enterprise. It is used to describe or represent the objects of related entities or processes in a business process. Process object is the sequence of one or a group of activities, through which specific business goals can be achieved. For example: marketing activity process, production process, enterprise annual comprehensive planning process, etc.; entity object is an abstraction of specific things in the real world, which is the input or output of the activity process in the process object. For example, in a marketing activity management process, the entity object in the marketing activity budget formulation link may include a marketing activity budget table. Service class object is the embodiment of the process in the application system function, which is a specific operation (creation, modification, query, deletion) of the entity object. It can also be understood as a function created by the system. It is derived based on the combing results of the process object and the functional requirements of this asset in the actual system application. For example, in a marketing activity, the entity marketing activity budget table is output in the marketing activity budget formulation link, and its corresponding service class object is the newly added marketing activity budget table.

[0032] 1) The classification framework of process objects is derived from the business domain involved in the enterprise business process The process object framework is a structured overall framework for the process, which describes the classification, hierarchy, boundary, scope, input / output relationship, etc. of the enterprise process, and reflects the business model and business characteristics of the enterprise. The main purpose is to manage business boundaries, affiliations and connection relationships. It is managed uniformly by the industry / company. The process object architecture compilation method takes the industrial management-related activity process (Table 1) as an example. The first-level classification (industrial management) represents the business scope of the enterprise business strategy, the second-level classification (industrial marketing) refers to the process grouping under the business scope, the third-level classification (marketing activity management) refers to a group process under industrial marketing, and the fourth-level classification (activity plan management) refers to specific activities. We can directly hang the entity object output by the process object under the corresponding process classification.

[0033] Table 1 Classification of process objects

[0034] 2) Entity Object Classification Framework The entity object classification framework is divided into resource entity objects and business entity objects. Resource entity objects are similar to master data, but cover a wider range than master data. Resource entity objects are objective resource objects such as human, financial, and material objects of an enterprise, and they expand various subordinate information through enumeration. Business entity objects are business form objects created or used in business activities, and their classification is consistent with process objects. Process objects are attached to process activities, and entity objects are attached to the corresponding processes.

[0035] 3) Service object classification framework Service objects are extended by the functional modules that support the business system, such as Figure 4 shown.

[0036] Step S22: Describe the classification, hierarchy, boundary, scope and input or output relationship of the enterprise process according to the process object classification framework.

[0037] Step S23: Describe objectively existing resource objects and business form objects created or used in business activities according to the entity object classification framework, wherein the entity objects include resource entity objects and business entity objects.

[0038] Step S24: Integrate various digital objects and data element identification codes according to the service class object classification framework and formulate coding standards for various digital objects and data elements.

[0039] Specifically, in combination with the classification and coding of three types of digital objects, the standardization of business processes, business objects and minimum data elements is improved step by step and refined step by step. In terms of realizing the integration and connection of data assets, the relationship between the elements is systematically designed, and the entity objects are produced from the process activity links. The attributes of the entity objects are standardized as data elements. The process activity steps correspond to the functional modules of the service objects. The business model is created by directly referencing the standardized entity objects. After the digital objects are sorted out, the business model is created according to the actual business situation. The data model references the standardized digital objects. The data model management designs and manages the structural content, relationship and constraint conditions of the database table. The indicator data comes from the entity objects and data elements. The establishment of label objects can be used to label and group entity objects according to business needs. A clear design system reflects the relationship between the elements. In terms of data asset coding and identification, the "one code to the end" design strategy is implemented, and the classification of various objects and data elements corresponds to the coding standards formulated in the previous link.

[0040] Step S3: Based on the relationship between the digital objects and the data elements, data model management is used to achieve the connection between the producer and consumer of enterprise data.

[0041] In a specific embodiment of the present invention, step S3 includes: Connect various digital objects with the database to obtain information comparison between the standardized data content of the various digital objects and the actual database content, including the standardization of data models, the relationship between models, and whether there are any missing model contents.

[0042] In a specific embodiment of the present invention, the step S3 further includes: The digital objects are securely managed by setting up the data management department, maintenance department and user department of the digital objects, determining the responsibilities of the data stakeholders, and using the data security classification and grading as the guide to achieve refined data desensitization and data permission control according to the protection requirements of different security levels.

[0043] By successfully connecting to the existing system database address, the connection between this data governance system and the database is established, and the information comparison between the standardized data content in this system and the actual database content is obtained, including the standardization of data models, the relationship between models, and whether there are any missing model content.

[0044] Step S4: Dynamically configure data quality inspection items and standards for the producer of enterprise data according to business rules, and perform quality verification to obtain data that does not meet the standards and achieve real-time data quality monitoring.

[0045] Based on the collected data and business rules, data quality inspection items and standards are dynamically configured to quickly conduct quality verification, obtain data that does not meet the standards, and achieve real-time data quality monitoring. Data quality management provides support for data quality rule definition, quality discovery, quality analysis, quality rectification, quality monitoring, etc., and promotes the two-way improvement of data quality level and supervision capabilities.

[0046] In order to ensure the continuous optimization of data governance, three "data-based" tools are set up, including data standardization operation, data normalization operation, and data service operation. Through the construction of three data operation capabilities, all-round supervision such as data element construction, data compliance monitoring, and data consumption statistics can be achieved to promote the continuous operation of data governance and effectively improve the level of data governance. The continuous improvement of data health and the continuous release of data value can be achieved, and data management and value development work can be standardized.

[0047] The data asset map intuitively and clearly displays the data asset construction status from different perspectives at the business level, organizational level and system level. The data asset service is mainly aimed at creating a centralized data application portal for data consumer groups, providing relevant data application functions for different data application scenarios, and promoting the advancement of the industry's data assetization level from managing data well to using data well.

[0048] Data service management establishes an operation center around the data service life cycle, providing data service management capabilities such as development configuration, registration and release, review and application, update and offline, and operation audit. The data service supermarket is a centralized place to find and apply for data services, which improves the reuse capacity of data services.

[0049] Data indicator management uniformly defines indicator names, indicator meanings, indicator dimensions, statistical cycles, statistical calibers, calculation formulas, etc., and implements self-service real-time measurement calculation of indicators through the indicator calculation engine. The data indicator system provides the ability to quantitatively measure business performance, and implements data statistical query and visual analysis in a combination of time, space, and business dimensions.

[0050] Data tag management configures and manages tag objects, tag classifications, and tag rules, supports manual tagging, and provides tag profiling and tag grouping application services. The data tag system is an effective means of conducting business operations. The tag profiling function allows you to understand the target object more comprehensively and accurately, and the tag grouping function allows you to quickly and flexibly identify the target group, supporting more accurate business operations.

[0051] Embodiment 2

[0052] An embodiment of the present invention provides a data management system based on information classification and coding, referring to Figure 5 As shown, including: Data standardization module 10: used to standardize and encode enterprise data in the form of digital objects; Wherein, the digital objects include: process objects, entity objects and service objects; Data relationship determination module 20: used to determine the data elements derived from the digital object according to the standardized code, and analyze the relationship between the digital object and the data elements; Data connection module 30: used to realize the connection between the producer and the consumer of enterprise data by using data model management based on the relationship between the digital object and the data element; Data verification module 40: used to dynamically configure data quality inspection items and standards for the producer of enterprise data according to business rules, and perform quality verification to obtain data that does not meet the standards and realize real-time data quality monitoring.

[0053] In a specific embodiment of the present invention, the data standardization module 10 is used to: The enterprise data is divided into business scenario processes, business operation actions and business execution results. The business scenario processes, business operation actions and business execution results are abstracted into digital objects, which correspond to the business scope, data scope and application scope of the enterprise respectively.

[0054] In a specific embodiment of the present invention, the data relationship determination module 20 is used to perform the following steps: Step S21: formulating an information classification framework based on the classification of the digital objects; Step S22: describing the classification, hierarchy, boundary, scope and input or output relationship of the enterprise process according to the process object classification framework; Step S23: describing objectively existing resource objects and business form objects created or used in business activities according to the entity object classification framework; Wherein, the entity objects include resource entity objects and business entity objects; Step S24: Integrate various digital objects and data element identification codes according to the service class object classification framework and formulate coding standards for various digital objects and data elements.

[0055] In a specific embodiment of the present invention, the data connection module 30 is used to: Connect various digital objects with the database to obtain information comparison between the standardized data content of the various digital objects and the actual database content, including the standardization of data models, the relationship between models, and whether there are any missing model contents.

[0056] In a specific embodiment of the present invention, the data connection module 30 is further used for: The digital objects are securely managed by setting up the data management department, maintenance department and user department of the digital objects, determining the responsibilities of the data stakeholders, and using the data security classification and grading as the guide to achieve refined data desensitization and data permission control according to the protection requirements of different security levels.

[0057] Reference Figure 6 As shown, this application builds a closed-loop data governance ecosystem based on the intrinsic connection and synergy between information classification coding and each module, covering multiple key links such as data asset map, digital object directory, data model construction, big data processing flow, indicator management system, master data management, business data integration, quality specification formulation, and security specification assurance. The close coupling between data flow and modules ensures the coordination and efficient operation of the entire data governance system, and effectively guarantees the quality, security, compliance and efficient use of data. A comprehensive and rigorous industry information governance framework has laid a solid foundation for maximizing the value of data. At the same time, the interaction between the various parts promotes the smooth flow and efficient transformation of information, further improves the efficiency and effectiveness of data governance, and provides strong data support for enterprise decision support and business development.

[0058] From the perspective of the data assetization process and methods: This application constructs a data governance framework through three core levels to achieve structured management of data. The top-level structure covers major industry-related activities, including infrastructure, planning cooperation, and tobacco leaf procurement. These activities constitute the dynamic behavioral basis of data assets and provide a practical basis for data management; the middle layer defines the concept of "business objects" and emphasizes the relationship between activities and related business objects. This layer ensures coordination and information sharing of different business links through clear business classifications and many-to-many relationship mapping; the bottom-level structure uses data asset cards to describe business objects and their associated data in detail. It covers multiple dimensions such as basic information, security information, and management information, aiming to facilitate data visualization and management, and promote rapid data acquisition and analysis. The above three levels emphasize the dynamic relationship between business activities and data assets through the interconnection of activities, objects, and data cards, aiming to improve data integration and utilization efficiency, and provide strong support for enterprise decision-making.

[0059] From the perspective of each part, this application implements the design ideas from three angles: management of rich data elements, multi-dimensional data asset operation and flexible data application empowerment methods. It includes ten data management and control capabilities, three data operation capabilities and four data application centers. The ten data management and control capabilities are the basic capabilities of the entire system and the embodiment of the process of data assetization; the three operation capabilities are the supervision of the standardized content of data assets, which is the embodiment of data asset quality monitoring and completion from different management perspectives; the four application centers are to create a centralized data application portal, provide relevant data application functions for different data application scenarios, and promote the advancement of the industry's data assetization level from managing data well to using data well.

[0060] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0061] Each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referenced to each other. The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the functions in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing terminal device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the functions specified in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable terminal device provide for implementing the process in the process. Figure 1A process or multiple processes and / or boxes Figure 1 The steps of the functions specified in one or more boxes. Although the preferred embodiments of the embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they know the basic creative concept. Therefore, the attached claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention. Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or terminal device including a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0062] The method and device provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principle and implementation mode of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

[0063] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", "one specific embodiment" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0064] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A data governance method based on information classification and coding, characterized in that: include: Step S1: Standardize and encode enterprise data in the form of digital objects; Wherein, the digital objects include: process objects, entity objects and service objects; Step S2: determining the data elements derived from the digital object according to the standardized code, and analyzing the relationship between the digital object and the data elements; Step S3: Based on the relationship between the digital objects and the data elements, the data model management is used to realize the connection between the producer and the consumer of the enterprise data; Step S4: Dynamically configure data quality inspection items and standards for the producer of enterprise data according to business rules, and perform quality verification to obtain data that does not meet the standards and achieve real-time data quality monitoring.

2. The data management method based on information classification and coding according to claim 1 is characterized in that: The step S1 comprises: The enterprise data is divided into business scenario processes, business operation actions and business execution results. The business scenario processes, business operation actions and business execution results are abstracted into digital objects, which correspond to the business scope, data scope and application scope of the enterprise respectively.

3. The data management method based on information classification and coding according to claim 1 is characterized in that: The step S2 comprises: Step S21: formulating an information classification framework based on the classification of the digital objects; Step S22: Describe the classification, hierarchy, boundary, scope and input or output relationship of the enterprise process according to the process object classification framework; Step S23: describing objectively existing resource objects and business form objects created or used in business activities according to the entity object classification framework; Wherein, the entity objects include resource entity objects and business entity objects; Step S24: According to the service class object classification framework, various digital objects and data element identification codes are integrated and coding standards for various digital objects and data elements are formulated.

4. The data management method based on information classification and coding according to claim 1 is characterized in that: The step S3 comprises: Connect various digital objects to the database to obtain information comparison between the standardized data content of the various digital objects and the database content, including the standardization of data models, the relationship between models, and whether there are any missing model contents.

5. The data management method based on information classification and coding according to claim 1 is characterized in that: The step S3 further comprises: The digital objects are securely managed by setting up the data management department, maintenance department and user department of the digital objects, determining the responsibilities of the data stakeholders, and using the data security classification and grading as the guide to achieve refined data desensitization and data permission control according to the protection requirements of different security levels.

6. A data management system based on information classification and coding, characterized in that: include: Data standardization module: used to standardize and encode enterprise data in the form of digital objects; Wherein, the digital objects include: process objects, entity objects and service objects; Data relationship determination module: used to determine the data elements derived from the digital object according to the standardized coding, and analyze the relationship between the digital object and the data elements; Data connection module: used to realize the connection between the producer and the consumer of enterprise data by using data model management based on the relationship between the digital objects and the data elements; Data verification module: used to dynamically configure data quality inspection items and standards for the producers of enterprise data according to business rules, and perform quality verification to obtain data that does not meet the standards and realize real-time data quality monitoring.

7. The data management system based on information classification and coding according to claim 6 is characterized in that: The data standardization module is used to: The enterprise data is divided into business scenario processes, business operation actions and business execution results. The business scenario processes, business operation actions and business execution results are abstracted into digital objects, which correspond to the business scope, data scope and application scope of the enterprise respectively.

8. The data management system based on information classification and coding according to claim 6 is characterized in that: The data relationship determination module is used to perform the following steps: Step S21: formulating an information classification framework based on the classification of the digital objects; Step S22: describing the classification, hierarchy, boundary, scope and input or output relationship of the enterprise process according to the process object classification framework; Step S23: describing objectively existing resource objects and business form objects created or used in business activities according to the entity object classification framework; Wherein, the entity objects include resource entity objects and business entity objects; Step S24: Integrate various digital objects and data element identification codes according to the service class object classification framework and formulate coding standards for various digital objects and data elements.

9. The data management system based on information classification and coding according to claim 6 is characterized in that: The data connection module is used for: Connect various digital objects with the database to obtain information comparison between the standardized data content of the various digital objects and the actual database content, including the standardization of data models, the relationship between models, and whether there are any missing model contents.

10. The data management system based on information classification and coding according to claim 6 is characterized in that: The data connection module is also used for: The digital objects are securely managed by setting up the data management department, maintenance department and user department of the digital objects, determining the responsibilities of the data stakeholders, and using the data security classification and grading as the guide to achieve refined data desensitization and data permission control according to the protection requirements of different security levels.

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