Application of master data technology in enterprise data governance

Yali Tian; Jun Zhou; Lei Wang

doi:10.1117/12.2683214

26 June 2023 Application of master data technology in enterprise data governance

Yali Tian, Jun Zhou, Lei Wang

Proceedings Volume 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023); 1271416 (2023) https://doi.org/10.1117/12.2683214
Event: Third International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 2023, Sanya, China

Abstract

With the continuous development of digitalization, informatization and intelligence in the discrete manufacturing industry, the importance of data in the discrete manufacturing industry has become more and more prominent. Various aspects of the whole product life cycle, design, development, procurement, production and other processes generate complicated types and huge amounts of raw data. These data are distributed in their respective business departments to guarantee the normal operation of their respective business, record detailed operation, and are continuously generated during the production process. There are often complex logical relationships behind the business data of different departments. How to do a good job of data standardization and promote the sharing of manufacturing data in the whole life cycle is an important part of intelligent manufacturing construction. By investigating the business, data and information environment of enterprises, clarifying the business collaboration relationship among business departments, taking inventory of core data resources, promoting the standardization of data resources, building a framework of discrete manufacturing master data management platform, and supporting the efficient collaboration of data within manufacturing enterprises.

Citation Download Citation

Yali Tian, Jun Zhou, and Lei Wang "Application of master data technology in enterprise data governance", Proc. SPIE 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 1271416 (26 June 2023); https://doi.org/10.1117/12.2683214

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