T/MSITISA 03-003.04-2021 Active Group standards

T/MSITISA 03-003.04-2021 Big Data Credit Data Resources Enterprise Information Master Data

T/MSITISA 03-003.04-2021 Big Data Credit Data Resources Enterprise Information Master Data

Publish Date: 2021-11-09 Implement Date: 2021-12-01 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/MSITISA 03-003.04-2021
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: Economic and cultural
ICS Name: Integrated Information Technology (IT)
Publish Date: 2021-11-09
Implement Date: 2021-12-01

Scope

Main technical content: Master data is slow-changing data shared among computer systems. It is a relatively stable and persistent data that defines business objects, ensuring the referential integrity of business systems. Master data is selected from metadata, which has shared value and is not frequently changed. It is a key and universal data that represents business operations. The basic characteristics of master data include: a) It is a shared basic data that can be reused across various business departments within an enterprise, and is in a relatively high-value, highly shared, and relatively stable state. Master data is shared across departments, businesses, technologies, and systems within an enterprise organization, serving as the foundation for application system construction, an important analysis object for data analysis systems, and a core data asset of the enterprise; b) Master data is a coding system. Master data is used to describe digital information resources. Master data coding is a summary table describing various master data codes, code names, and code attributes in the construction of master data, serving as the basis for master data code inquiry and application, as well as a global and guiding document for master data codes. Completing the standardized construction of enterprise information master data for big data credit investigation is the cornerstone of enterprise information master data management. Sound enterprise information master data construction can help establish a comprehensive big data credit investigation data governance system. To build enterprise information master data for big data credit investigation, it is necessary to classify and code master data, define master data structures, and consider factors such as master data sources, data management hierarchies, data dimensions, the generation and application value of enterprise data in related credit business environments, and the constraints between data. Enterprise information

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