Customer Value Evaluation System Of Mining And Customer Value Clustering

With the rapid integration of global economy and drastic competition, the operation and management pattern which view the customer as a center and service as object has replaced the older operation and management pattern which views produce as center and scale as purpose. More and more enterprises put attention on customer relationship management (CRM). And customer value management is the core and base of CRM. How to identify, attract and retain the valued customer is the concerned question of the leader and decision-maker of the enterprise. So, analyzing customer value and distinguishing the valued customer is the foundation of making all decisions. Only having confirmed which customers are the valued customers, corporation can attract and retain them. By now, the enterprises usually adopt some simple factors such as profit to weigh a customer on value, which is narrow.Data mining has played important role since it was born and extensive applied in all fields. Data mining technology such as association rule mining, clustering analyzing, and classify and prediction is extensive used, especially in the fields of telegram, bank and insurance, which has bring some unexpected discovery and gain.In this paper, I mainly analyze how date mining technology is applied in mining customer value in view of methodology. Firstly, the definitions of customer and customer value are given, and the theory of relationship value in relationship market is discussed, which includes the factors which influence customer value and strategy to manage customer value efficiently.Secondly, the method (data mining technology) mining customer value is discussed. The history, conception, traits, roles, and classification of data mining are included. Then cluster analysis applied in mining customer value and the situation of data mining applied in native are discussed.Thirdly, the system of appraising customer value is given. Firstly, a serious of indexes to appraise customer value which are implemented easily is put out after integrative consideration and theirs weight are given by means of the Analytic Hierarchy Process. Meanwhile, the formula how to calculate a customer value is given. And then, how to separate customers into various parts based on their value...