The Electronic Communications Industry Channel Marketing Platform Based On Data Mining Technology

With the continuous development of the domestic telecommunications enterprises,increasing competition in the communication between enterprises,especially since the restructuring of the communications industry in2008,the competition is getting intense.On the one hand,the increasing scope for customers to choose the communication services and communication enterprises,communication between enterprises increasingly fierce competition for customers.Operators constantly "price war",the communications market a serious the’The number of growth, income growth’ phenomenon,a large number of low-loyalty customers switch to other networks or change business.In this fierce competition,the face of the vast amounts of customer information and customer data, operators how to customer demand一oriented,using scientific means to analvze and derive useful information to achieve the refinement of management and marketing,and through targeted with high一quality services to attract and retain customers,increase their market share,to occupy a favorable position in the competition,the focus of domestic communications carriers.I by the data mining technology applications in Hunan mobile electronic channel marketing platform to analyze vast amounts of customer information,and reach customer segments,the fine marketing purposes,the application has been praise of Hunan Mobile business promotion.I completed the work as follows:First research the status of Keywords:Spring Festival Gala Evening, Folk custom, Symbol the role and significance.The second is to propose the introduction of data mining technology marketing platform,the establishment of mobile electronic channel marketing platform based on data mining technology, Hunan order by the Department of information related to the mass of customers to predict customer value orientation, which is targeted marketing personnel marketing provides a theoretical basis. Third, the research results be applied directly to the Hunan mobile e-channel marketing platform, First Hunan Mobile customer data as a data source, matching variables chosen business recommended by several exchanges with Hunan Mobile business line managers to communicate; then establish business recommended match model, cluster analysis and the use of k-means algorithm clustering results detailed analysis and to develop appropriate marketing strategies; final clustering results, while the corresponding cluster predictor Hunan mobile electronic channel marketing platform.