Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)

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Discussion on the Strategy Financial Management System of Power Enterprises Under Big Data Technology

Authors
Yongtao Hu1, *, Qiang Ma1, Qiong Liao1, Wanlong Huang1
1State Grid Gansu Electric Power Company, Lanzhou, 730000, Gansu, China
*Corresponding author. Email: huyt_gs@163.com
Corresponding Author
Yongtao Hu
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-980-3_14How to use a DOI?
Keywords
Big Data Technology; Power Enterprises; Strategic-Financial Integration; Core Indicator Evaluation
Abstract

Against the backdrop of the global energy transition and carbon neutrality goals, power enterprises face the critical challenge of aligning long-term strategic objectives with daily financial management. Traditional management models treat strategic and financial management as isolated systems, leading to data silos, misaligned resource allocation, and slow responses to market/policy changes. Big data technology, with its capabilities in multi-source data integration, real-time analytics, and hidden pattern extraction, offers a solution to bridge this gap.

Empirical results show that after system implementation, Group X’s strategic goal achievement rate increased from 75.2% to 92.4%, financial budget deviation rate decreased from 18.0% to 6.5%, and ROI of strategic projects rose from 8.3% to 12.7%. These improvements confirm that the system effectively integrates strategic and financial management, providing a practical framework for power enterprises to enhance decision-making efficiency and sustainable development.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
Series
Advances in Computer Science Research
Publication Date
26 December 2025
ISBN
978-94-6463-980-3
ISSN
2352-538X
DOI
10.2991/978-94-6463-980-3_14How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yongtao Hu
AU  - Qiang Ma
AU  - Qiong Liao
AU  - Wanlong Huang
PY  - 2025
DA  - 2025/12/26
TI  - Discussion on the Strategy Financial Management System of Power Enterprises Under Big Data Technology
BT  - Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
PB  - Atlantis Press
SP  - 131
EP  - 140
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-980-3_14
DO  - 10.2991/978-94-6463-980-3_14
ID  - Hu2025
ER  -