Author(s)

Can Xiong ¹, Ziyou Lu ¹

Affiliation(s)

¹ School of Digital Economics and Resource Management, East China University of Technology, Nanchang, Jiangxi, 330013, China

Corresponding Author

Can Xiong

ABSTRACT

With the rapid development of the digital economy, data has emerged as the fifth major production factor, following land, labor, capital, and technology. While the value of corporate data assets continues to grow, the risks associated with their management have also increased significantly. This paper examines the key risks encountered during four critical phases of corporate data assets—acquisition, acceptance, application mining, and periodic evaluation—from a full lifecycle perspective. These risks include compliance issues with data sources, ambiguous ownership boundaries, and technology-induced security vulnerabilities. To address these challenges, the paper proposes optimization strategies across four dimensions: enhancing value recognition, ensuring data quality, strengthening security management, and fostering cross-departmental collaboration. The ultimate goal is to establish a comprehensive risk prevention system throughout the entire process, thereby safeguarding corporate data assets and improving the efficiency of data value realization.

KEYWORDS

Data assets; Full life cycle; Risk management

CITE THIS PAPER

Can Xiong, Ziyou Lu, Research on Risk Management of Enterprise Data Asset Life Cycle. Accounting and Corporate Management (2025) Vol. 7: 31-36. DOI: http://dx.doi.org/10.23977/acccm.2025.070505.

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