Research On Model Construction Of Customer Value And Customer Degree Of Satisfaction Based On Data Mining Technology

Customer value and customer satisfaction are the two important indicators of customer relationship management. Fierce market competition practice shows that enterprise is critical to the success of the customer's needs, providing customers with services and product is certain to meet with their requirements. To ensure customer keep the same satisfaction with the enterprise's products and services, continuing to support enterprises.This research makes a necessary description from the background and significance, and the research situation and development trend of CRM. More description of CRM definition, Sinicization of CRM, and application condition of this paper comprehensively, and combining with the study of self, for Chinese enterprises in the CRM change agent and practical application of cultural background analyzed briefly.Based on the customer value construction data mining model and customer satisfaction, and data mining model from the customer value of customer relationship management theory, the length, width and depth of three perspectives specific meticulous in-depth analysis of the customer value, thus establishing evaluation model and customer satisfaction, four points graph model and analyzed the fourth figure application conditions and the advantages and disadvantages, and finally confirmed the customer satisfaction with the formula of calculation model.This research study and analyze theory frame of customer value data and analysis the building of customer value data and application data mining. In addition, on the one hand, the analysis customer value of data warehouse and data mining application, for enterprises in judgment of enterprise value customer provides useful ideas. On the other hand it to the good and bad influence factors, from the enterprise to provide goods and services to the enterprise sales personnel service attitude and environmental factors are a detailed description. Research in mass data for enterprises to extract useful data shows a benefit maximization of guidance and strong practical significance for the enterprises.