Research on the Theory and Method of Grid Data Asset Management | Zendy

Jun Wang | Zendy; Yun-si Li | Zendy; Wei Song | Zendy; Aihua Li | Zendy

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Research on the Theory and Method of Grid Data Asset Management

Author(s) -

Jun Wang,

Yun-si Li,

Wei Song,

Aihua Li

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.258

Subject(s) - computer science , asset management , data governance , data management , it asset management , asset (computer security) , grid , enterprise data management , digital asset management , big data , connotation , database , finance , computer security , business , data mining , data quality , metric (unit) , linguistics , philosophy , geometry , mathematics , enterprise information system , marketing , investment strategy , market liquidity

In the era of Big Data, data assets have become a strategic resource which cannot be overlooked by both society and enterprises. However, data is not equal to the assets. This paper first introduces the necessary conditions of data assetization and discriminates the concepts of data governance, data management and data asset management. Then it focuses on the unique connotation and characteristics of grid data assets. With reference to the mainstream theory of data management, the framework for the grid data asset management is set up in the combination of the characteristics of data assets, business needs and the actual situation in the power supply enterprises. Finally, this paper puts forward higher system requirements and technical requirements for China’s power supply enterprises to conduct data asset management.

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