Research on the Transformation Path of Financial Informatization in Electric Power Enterprises Driven by Big Data

Xuan Zhou (), Fei Han (), Yi Zhang (), Wanlong Huang () and Yifei Tang ()
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Xuan Zhou: State Grid Gansu Electric Power Company Baiyin Power Supply Company
Fei Han: State Grid Gansu Provincial Electric Power Company Tianshui Power Supply Company
Yi Zhang: State Grid Gansu Provincial Electric Power Company Longnan Power Supply Company
Wanlong Huang: State Grid Gansu Electric Power Company
Yifei Tang: State Grid Gansu Electric Power Company

A chapter in Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026), 2026, pp 147-154 from Springer

Abstract: Abstract This article focuses on the transformation path of financial informatization in power enterprises driven by big data. In response to the problems of inefficient data processing, single analysis, and lagging risk response in traditional financial models under the intensification of digitalization in the energy industry and competition in the power market, a multi-level financial data management system including data source layer, storage layer, processing layer, etc. is proposed to be constructed. The system integrates ETL, Hadoop, Canopy Ant Colony K-Means and other technologies to achieve full process intelligence of financial data. It has been verified through a provincial power enterprise instance and has achieved significant results in material settlement efficiency and cost accounting accuracy, providing support for power enterprises to break through financial bottlenecks and achieve financial and business collaboration.

Keywords: big data; Electric power companies; Financial informatization; Transformation path; Financial Data Management System (search for similar items in EconPapers)
Date: 2026
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DOI: 10.2991/978-94-6239-640-1_13

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