Data Mining And Statistical Telecom Customer Value Evaluation Based On Study On Application

With the rapid development of communication technology, telecom operators formed after the reorganization of the three pillars of the situation, a comprehensive listing of the3G business telecommunications customers increasingly saturated market, the technology is no longer the focus of a new round of competition, technological competition to quality customer service transformation is imminent. After years of development, the Group’s market management and control capability has been significantly improved, but the rough value assessment system also allows the Group’s market at risk, in order to respond to competitors’ customers digging grab, to enhance their quality of service and product promotion, more refined marketing is the trend of the times and build a new, more efficient, more accurate and easy to popularize Group customer value assessment system without delay.At present, the value evaluation system of customer has been applied in the telecommunication field, but the system does not have a uniform standard, evaluation scheme is relatively backward, in the data processing is not tight, resulting in poor data accuracy and consistency, modeling depends on the human experience, the selected method is not reasonable, too much human intervention. In view of the above problems, this paper combined with the value of telecom customer evaluation, data analysis based on mobile operations, methods of mathematical statistics and data mining based on data warehouse and data mart, Analysis of the data from the three dimensions, including contribution,property and influence,and combined with the value of mobile group customer evaluation criteria to customers divided into three classes of grade five, which is fine marketing for group business.This paper first analyzes the influence of the impact of various customers value assessment factor, and then on the basis of the classification of index, index selection, weight setting up evaluation system of different levels of group customer value, and based on the application of this model to realize the customer group hierarchical service standards and share. Through the research and application of the model can be effective to focus the high value customer, the strict distinction between A1A2, B1B2, do the difference marketing, have a greater help to seize the resources for new customers and extend the life cycle for old customers, achieve the targeted category management of the Group.