Big Data-Driven Governance for Power Enterprise Management: A Dual-Driven Framework Integrating Data Assetization and Accountability Mechanism

Nana Yu

doi:10.47297/taposatWSP2633-456927.20260704

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Big Data-Driven Governance for Power Enterprise Management: A Dual-Driven Framework Integrating Data Assetization and Accountability Mechanism

7卷第4期

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Big Data-Driven Governance for Power Enterprise Management: A Dual-Driven Framework Integrating Data Assetization and Accountability Mechanism
Big Data-Driven Governance for Power Enterprise Management: A Dual-Driven Framework Integrating Data Assetization and Accountability Mechanism
China Datang Environment Industry Group Co., Ltd., Beijing, 100097, China
2026年7卷第4期页码：149-158
纸质出版：2026-04-30
DOI：10.47297/taposatWSP2633-456927.20260704
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Nana Yu. (2026). Big Data-Driven Governance for Power Enterprise Management: A Dual-Driven Framework Integrating Data Assetization and Accountability Mechanism. 科技理论与实践（英文版）, 7(4), 149-158.

Yu Nana.Big Data-Driven Governance for Power Enterprise Management: A Dual-Driven Framework Integrating Data Assetization and Accountability Mechanism[J].Theory and Practice of Science and Technology,2026,07(04):149-158.
Nana Yu. (2026). Big Data-Driven Governance for Power Enterprise Management: A Dual-Driven Framework Integrating Data Assetization and Accountability Mechanism. 科技理论与实践（英文版）, 7(4), 149-158. DOI： 10.47297/taposatWSP2633-456927.20260704.

Yu Nana.Big Data-Driven Governance for Power Enterprise Management: A Dual-Driven Framework Integrating Data Assetization and Accountability Mechanism[J].Theory and Practice of Science and Technology,2026,07(04):149-158. DOI： 10.47297/taposatWSP2633-456927.20260704.

摘要

Abstract

Against the backdrop of global energy transition

low-carbon transformation and in-depth digital upgrading of the global power industry

big data technology has become a core driving force for the high-quality

intelligent and sustainable development of power enterprises. Driven by the large-scale integration of new energy sources

comprehensive smart grid construction and rapid development of the digital economy

power enterprises are facing unprecedented opportunities and challenges in operational management

decision-making optimization and business innovation. This paper systematically defines and categorizes power big data into three types with differentiated attributes

namely traditional operational data

network service data and open ecosystem data

and deeply explores the multi-dimensional intrinsic value of big data empowerment in promoting organizational management innovation

operational efficiency improvement

precise risk prevention and control

and business value-added of power enterprises.Aiming at the practical pain points of modern power enterprise management

such as serious data silos

low data value utilization rate

ambiguous data management responsibilities and imperfect standardized governance mechanisms

this paper proposes two synergistic core implementation paths: data assetization for efficient data value realization and data accountability system for full-cycle standardized data governance. On this basis

a systematic

operable and scalable practical framework for big data empowerment of power enterprise management is constructed

which realizes the organic integration of data technology

management system and business practice.Through empirical analysis and case verification of typical international and domestic power enterprises

the research results confirm that the dual-driven framework integrating data assetization and accountability can significantly improve the operational efficiency

decision-making accuracy

risk control capability and economic benefits of power enterprises. This paper fills the research gap of the lack of a systematic integration framework between data assetization and management accountability in the current digital transformation of the power industry

and provides comprehensive theoretical guidance

feasible implementation paths and actionable solutions for power enterprises to fully tap the value of data resources

optimize organizational management models and enhance comprehensive competitiveness. The research results have profound theoretical significance and practical value for promoting the high-quality digital transformation and industrial upgrading of global power systems in the era of smart grids and energy internet.

关键词

Keywords

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