SYSTEM AND METHOD FOR ACHIEVING DATA ASSET SENSING AND PRICING FUNCTIONS IN BIG DATA BACKGROUND

摘要

A system for achieving data asset sensing and pricing functions in a big data background, and a method for achieving, on the basis of the system, data asset sensing and pricing in a big data background. The system comprises: a data initialization module, a data value element and range configuration module, a data value sensing module, and a data value evaluation module. The method comprises: giving a unique identification in the whole data pricing system to data to be priced; abstracting a data value element according to different data attributes, segmenting different elements, and defining the attribute value range; sensing the use situation of data and data value element information in real time; and calculating, according to the use situation of data and the value element information, the evaluated data value in real time. According to the system and the method therefor, flexibly configuration and segmentation management of data value elements are achieved, the unlimited expansion of bottom elements is achieved, and the data value is calculated more accurately, thereby solving the problem of being difficult to price data assets, and being unreasonable and inaccurate to price in the big data background.