The Application Of Data Mining In Telecom Customers Churn Control

Along with internationalized expansion of telecommunication industry, the whole industry is quickly evolving into market economy from primary planned economy, competition among telecommunication operation companies became more severe. Operators are starting to shift key point to enhancing customers’loyalty, to perfect related service and to maintain and cater customers has, become an important problem they must to tackle at present stage.Data mining is a method, what can analysis large amounts of data stored within the enterprise by mathematical models, to find a different customer or market segment, and can analysis of consumer preferences and behavior. The purpose of this study is the application of data mining technology, combined with the existing telecommunications and data resources, analytical work, the loss of the common characteristics of customers, the application of mathematical model to build prediction model, and for that portion of the loss of customers to develop effective measures to retain. In this paper an innovative way with the theoretical explanation of mathematical analysis, the method of combining practice, research, Zhejiang Telecom Co., Ltd. Ningbo Branch as the report of the researchers and enterprises in the combination before the current customer management status, constructed the applicable customer churn prediction T-N hybrid model in the corporate status quo. And apply this model to analyze the actual data, through a combination of telecommunications customers the life cycle curve, summed up the reasons for customer churn. Article the use of more sophisticated marketing knowledge the detailed and specific customer retention strategy in order to conduct a comprehensive, effective customer churn control.