The Application's Research Of Data Mining Technology For Customer Relationship Management

In the intense market competition, the tradition take the product as the central marketing strategy take the customer as the center, take is served gradually day by day as the goal marketing strategy substitutes, enterprise faced with unprecedented marketability and customer personalization challenge. The advanced informationization system, made the enterprise to accumulate the massive customers and the product sale data, the data mining technology can the effective management and utilizes these swift growths the data, realized the CRM idea and the goal. The data mining utilizes in the CRM system may analyze the customer data thoroughly, obtains the concealment to have the value information, and formulates the corresponding marketing strategy, causes the customer the returns ratio maximization.The data mining technology is the CRM system's key implementation link, how this article unifies the customer data message to study the service data unearths the technology in CRM. First, rests on the different data mining theory application and customer relations management each stratification plane, introduced the customer relations management, the data mining, the data mining technology in the customer relations management the application elementary theory, introduced the domestic and foreign application present situation, has highlighted the data mining in the customer relations management influential role, elaborated the data mining technology deals with the CRM issue the detailed flow. Next, has discussed the following several questions emphatically: Client management goal: Prevents the customer outflow, causes the customer to have a greater value; The client segmentation, the overlapping sale, the customer gain/maintain demand analysis and algorithm design. Finally, the FP-tree algorithm which optimizes using the classics Apriori algorithm and the partition, in the excavation customer relations management system management system database the customer purchase different product relatedness, avoided being separated from the market, being separated from the loss which the demand created, saved the fund, raised the benefit.