Big Data Asset Valuation of Internet Enterprises —Case Study of Netease Company

Abstract

With the continuous development of Internet technology, big data assets, as an intangible asset, have become an important strategic material of enterprises, playing an increasingly important role in enterprise decision-making and operation. With the development of enterprises, the number and types of big data are also increasing, and the opportunities for big data to generate value are also increasing. In order to improve the value of big data assets, most enterprises gradually pay more attention to big data assets. In order to solve the ensuing problem of big data asset evaluation, this paper studies the data asset pricing method based on the analysis of the characteristics of Internet enterprise big data evaluation, citing the present value of income method, market value method and replacement cost method. The analytic hierarchy process (AHP) is applied in practice to construct the judgment matrix of evaluation index system and calculate the weights of each item. This paper takes the big data asset evaluation of Netease Internet enterprise as a case study to study the construction and application of the big data asset evaluation model of Internet enterprise.