数据估值定价的方法与评估指标

Methods and Metrics for Data Valuation and Pricing

数据估值定价是促进数据在市场中高效流通的关键环节,是推动数据成为新的关键生产要素的基础性工作。市场法、成本法、收益法3种传统估值定价方法各自存在一定的优缺点,是估值定价实践主要借鉴或组合运用的方法。基于数据要素的独特属性,衍生出重点考虑数据质量、数据量、数据集、客户感知价值等某方面的估值定价方法。构建数据资产价值评估指标体系是建立综合性估值框架的关键步骤,也是市场主体根据实际应用场景,选择特定估值定价方法的依据。

Data valuation and pricing are the key links to promote the efficient flow of data in the market and the basic work to promote data to become a new key production factor.The three traditional valuation and pricing methods,namely market method,cost method and income method,have their own advantages and disadvantages.They are mainly used for reference or combined application in data valuation and pricing practice.Based on the unique attributes of data elements,valuation and pricing methods focusing on data quality,data volume,data sets,customer perceived value and other aspects are derived.The construction of data asset value evaluation index system is a key step to establish a comprehensive valuation framework.Moreover,the value evaluation index system and the actual application scenario are the basis for the market subject to choose the valuation and pricing method.