Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)

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Research and practice on the valuation method of data assets in power grid enterprises

Authors
Meng Luo1, *
1Daxing District, No.2, Desheng North Street, Yizhuang Economic Development Zone, Beijing, China
*Corresponding author. Email: 18612620292@163.com
Corresponding Author
Meng Luo
Available Online 7 May 2024.
DOI
10.2991/978-94-6463-417-4_31How to use a DOI?
Keywords
Power grid enterprises; Data assets; Value; Evaluation; Model; Practice
Abstract

The digital economy era has spurred the development of data assets, with data showing an explosive growth trend and diversified application value. The data resources of power grid enterprises as the owner of the “data gold mine” have the characteristics of strong professional attributes, large collection scale, fast growth rate, high accuracy, strong sensitivity, large business span, and multiple data types. Evaluating the value of data assets in power grid enterprises plays an important role in the management and application of enterprise data assets. This article aims to evaluate the value of data assets in power grid enterprises. Based on the analysis of the classification, influencing factors, and traditional evaluation methods of data assets in power grid enterprises, a data asset value evaluation model suitable for power grid enterprises is constructed using the cost method. The model is applied in a representative case of a certain power company. After practical testing, the data asset value evaluation model has certain practicality, but it is limited to the immaturity of the existing data trading market and needs further improvement in the future.

Copyright
© 2024 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 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
Series
Advances in Intelligent Systems Research
Publication Date
7 May 2024
ISBN
978-94-6463-417-4
ISSN
1951-6851
DOI
10.2991/978-94-6463-417-4_31How to use a DOI?
Copyright
© 2024 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  - Meng Luo
PY  - 2024
DA  - 2024/05/07
TI  - Research and practice on the valuation method of data assets in power grid enterprises
BT  - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
PB  - Atlantis Press
SP  - 341
EP  - 351
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-417-4_31
DO  - 10.2991/978-94-6463-417-4_31
ID  - Luo2024
ER  -