Abstract:

Performing data asset assessment is a crucial step in realizing data assetization, holding significant importance for enterprises in optimizing data asset governance and guiding the valuation and pricing of data assets. This research establishes an evaluation index system of enterprise data assets by focusing on four aspects of data assets: quality, cost, risk, and application. It also constructs a quantitative data asset evaluation model that incorporates techniques such as the stepwise normalization method and the Analytic Hierarchy Process.

Key words: data asset, index system, value evaluation