Research on the Application of Enterprise Digital Profiling in Social Governance Scenarios

DOI

10.2991/978-94-6463-710-6_35How to use a DOI?

Keywords

digital profiling; social governance; big data; application scenarios

Abstract

As a crucial application of big data and artificial intelligence technologies, enterprise digital profiling exhibits significant potential in enterprise management and social governance. This paper delves into the practices and challenges of digital profiling technology in social governance scenarios. Through multidimensional data collection, mining, and modeling, digital profiling technology constructs precise enterprise characteristic models, unveiling multidimensional insights such as behavioral preferences, risk features, and policy needs. In the realm of enterprise management, digital profiling has been successfully applied in customer relationship management, supply chain optimization, market analysis, and risk control, providing dynamic decision-making support and significantly enhancing management efficiency. In social governance, digital profiling supports intelligent analysis for financial regulation, tax audits, credit risk assessment, and the development of targeted government assistance policies, substantially improving the efficiency and accuracy of governance. Looking ahead, digital profiling technology is expected to achieve deeper innovation and application in areas such as algorithm optimization, blockchain integration, and IoT integration. However, challenges persist, including data privacy protection, algorithmic fairness, and cross-departmental collaboration.

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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TY  - CONF
AU  - Shushen Wu
PY  - 2025
DA  - 2025/05/14
TI  - Research on the Application of Enterprise Digital Profiling in Social Governance Scenarios
BT  - Proceedings of the 2025 4th International Conference on Big Data Economy and Digital Management (BDEDM 2025)
PB  - Atlantis Press
SP  - 304
EP  - 318
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-710-6_35
DO  - 10.2991/978-94-6463-710-6_35
ID  - Wu2025
ER  -