Research on Characteristics and Value Analysis of Power Grid Data Asset | Zendy

Wei Song | Zendy; Yuejin Zhang | Zendy; Jun Wang | Zendy; Haifeng Li | Zendy; Yajing Meng | Zendy; Runtong Cheng | Zendy

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Research on Characteristics and Value Analysis of Power Grid Data Asset

Author(s) -

Wei Song,

Yuejin Zhang,

Jun Wang,

Haifeng Li,

Yajing Meng,

Runtong Cheng

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.2018.10.234

Subject(s) - computer science , asset (computer security) , pagerank , fixed asset , grid , value (mathematics) , business operations , data mining , risk analysis (engineering) , data science , computer security , production (economics) , business , information retrieval , geometry , mathematics , marketing , machine learning , economics , macroeconomics

With the continuous development of information technology, data assets are becoming more and more important to enterprises. But at the same time, because of the large volume and complexity, it is difficult for many enterprises, especially the traditional large enterprises, to arrange and analyze the data assets well in order to recognize the value of the data assets. Using the data generated from business operation of a Power Grid Corp, a qualitative analysis of the characteristics of data assets in the electric-power industry has been made. At the same time, using the method of complex network, taking the reference and business connection between data as weight, the importance of different business data has been analyzed based on PageRank algorithm. The analysis results can provide effective basis for the Power Grid Corp to manage its data assets, evaluate the value of data and make good use of the data asset.

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