Exploring the Factors on the Fixed Pricing of Real Time Data Products: A Dual Approach

摘要

This paper analyzes the factors affecting the fixed pricing of real-time data products mainly through customer perceived value and data score, using data visualization tools and regression assumptions. The article uses the complex network analysis software GEPHI to quantitatively analyze and draw the visual spectrum of the relationship between the price of real-time data products and the factors influencing the possibility, and conduct general regression analysis on this basis. Through a dual argument, we get the fixed price of real-time data products key influencing factors in order to provide constructive solutions for the pricing of data products.