Zhejiang Mobile Costomers’ Behavior Statistical Analisis Based On Data Mining

Under the impact of big data era with increasingly fierce competition in the telecommunications market, the customer switching costs continue to be reduced and operating costs grow huge, while the quality of mobile communication services customer demand for are constantly improving. Therefore, it’s of strategic importance for operators to understand how to use limited resources to implement precise marketing, to meet the customers’ needs in order to maximize customer satisfaction and loyalty, by doing research of mobile communication consumer behavior.This paper is about the analysis of CMCC customer behavior based on data mining. Firstly it describes the theory of data mining and customer behavior; then, using data mining technology to draw a customers portrait images and choose valuable customer; then to do customer segments with data mining method based on customer behavior; finally researching the mobile customer buying patterns of different customer groups with association rules to excavate consumption patterns.This paper has proved that data mining techniques are is scientifically reliable and pragmatic in analyzing customer behavior. This study can be used as an scientific basis for business decisions. Meanwhile, the paper recommends the adoption of building information platform for telecom operators to implement precise marketing and personalized recommendation data provide strong support for our customers to provide value monitoring platform support.