In the digital economy, data assets serve as the core strategic resources of enterprises, and their valuation is a key link in the market-oriented allocation of data elements. This study focuses on three core aspects of enterprise data asset valuation. Firstly, regarding the authenticity of data asset management registration, it proposes an evaluation system of "sample inspection + process traceability + technical analysis" by decomposing key indicators such as completeness and accuracy. Secondly, for the adaptation measures to domestic and foreign data systems, it compares the similarities and differences of data policies among China, the United States, and the United Kingdom, and formulates a "policy map + hierarchical matching" plan. Thirdly, aiming at the policy obstacles and operational difficulties in the valuation process, it analyzes the causes from both policy and corporate perspectives and puts forward collaborative solutions. Based on multi-source data including policy documents, academic literature, and survey reports, this study provides theoretical support and practical paths for enterprise data asset valuation, and promotes the process of data assetization.
Data Assets; Value Estimation; Registration Reliability; Policy Compliance; Dilemma Resolution.
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