Abstract:

The rich connotations of data assets give rise to inherent complexity in the process of data assetization. Currently, three major consensuses on data assets have been reached both domestically and internationally, whereas two prominent divergences remain with respect to the implementation paths of data assetization. These divergences further result in discrepancies in data assetization practices at home and abroad. This paper conducts a comprehensive assessment of the three mainstream paths of data assetization at present, and explores each path in detail from five aspects: objectives, applicable entities, practical effects, existing problems, and exploratory suggestions. It intends to offer path recommendations for various entities engaged in data assetization.

Key words: asset, data asset, data assetization