Research on Factors Influencing the Value of Data Products and Pricing Models

Abstract

The article focuses on the analysis of data product value influencing factors and establishes a data product pricing model based on value factors. The research reviews the existing research on the value evaluation of data assets, and summarizes the characteristics of data products in the data product trading system based on the alliance chain [1], and then obtains factors for data product value evaluation. Combined with the dynamics and personalized requirements of data products, a value-based three-stage dynamic pricing model for data products is proposed.