Research Article
Research on the Application of Value-Added Services for Power Enterprise Data Based on Precise Data Ownership Confirmation Theory
@INPROCEEDINGS{10.4108/eai.27-10-2023.2342018, author={Jizhen Li and Yong Deng and Hong Zhong}, title={Research on the Application of Value-Added Services for Power Enterprise Data Based on Precise Data Ownership Confirmation Theory}, proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China}, publisher={EAI}, proceedings_a={ICEMBDA}, year={2024}, month={1}, keywords={data ownership confirmation data rights three-body model of data power bundle enterprise management innovation}, doi={10.4108/eai.27-10-2023.2342018} }
- Jizhen Li
Yong Deng
Hong Zhong
Year: 2024
Research on the Application of Value-Added Services for Power Enterprise Data Based on Precise Data Ownership Confirmation Theory
ICEMBDA
EAI
DOI: 10.4108/eai.27-10-2023.2342018
Abstract
This article focuses on the theory and application of precise data ownership confirmation in power enterprises and is divided into three main parts. Firstly, it elaborates on the theory of precise data ownership confirmation, introduces its concept and core values, and emphasizes the importance of data rights and interests in the path of enterprise data assets. Secondly, it attempts to build a research framework for precise ownership confirmation of enterprise data, guides enterprises to create nine basic data rights, identifies the main roles in the research framework, and constructs a complete enterprise data precise confirmation system. The third part conducts empirical analysis through case studies of value-added application services for power enterprise data, and explores how to apply the enterprise data ownership confirmation framework to confirm ownership and guide business processes in practical business. This article aims to provide practical guidance for power enterprises to apply precise data ownership confirmation theory in practice, so as to ensure that the assetization of enterprise data resources can be fully demonstrated.