The Design Arid Implementation Of Customer Relationship Management System Based On Data Mining Technology

With the accelerating of global economization process, the promotion of sales idea,China’s banking is opening to the outside world, many foreign banks gradually expand thedomestic business which intensifies international competition among banks. It is known thatthe domestic banking plays a very important role in domestic economy. In order to hold adominant position in the competition, it needs to improve their own competitiveness, takeconsider of customer oriented resource competition, achieve customer information throughthe customer relationship management (CRM). Data mining is one of the key technologies ofthe implementation of customer relationship management theory. Through the data miningtechnology can analyze a lot of customer information to find the hidden and valueableinformation from the large amount of customer data, which provide bank management thebasis for decision-making. Therrfore, by means of classifying customers, in view of thedifferent customer need, the bank management can provide personalized services andprograms. It can further maintain the existing customers and develop potential customers withquality ot make the banking profit. By means of analyzing the domestic banking researchstatus and existing problems, based on understanding the needs and business process, wedesign and finish the customer relationship management system based on data miningtechnology.In this paper, we pay attention to the demand of customer relationship managementsystem and the application growth service to design. Firstly, we have read a large number ofdocuments and related material of the collection and researched the purpose and thesignificance of constructing bank customer relationship management system, it’s currentresearch status at home and abroad, as well as the existing problems. Secondly, we conductdetailed instructions for the relevant theories and technologies to the bank customerrelationship management system and data mining technology. In this part, we introduce thedefinition of CRM, the classification of system and characteristics, and give the concept ofdata mining and the commonly used methods. Moreover, we focus on the description of theC5.0algorithm in decision tree, and we describe the data mining technology in the system application process and system structure of CRM. Thirdly, we also detailedly describe theimplementation process of the system which includes the aim of system design, the systemdemand analysis, each function module design and overall database design. Meanwhile, basedon the idea of module dividing, we also detailedly describe the implementation process of themain function modules of system, and display the interface of customer relationshipmanagement system by sub module. After the realization of all function modules, the systemtest is also implemented for testing the performance of the system, the test result verifies thatthis system can satisfy the needs of users, and shows good stability. Finally, the summary andperspective are also conducted.In summary, on the basis of analyzing and understanding the bank business need, andcombined with the related theory and technology of customer relationship management, wedesign and develop a customer relationship management system based on data miningtechnology.