The Development And Research Of Customer Relationship For Bank Of China

With the developing of computer and internet technology in the beginning of this century. The world economy into the globalization of the electronic era, the inter-bank products and services, the difference becoming smaller and smaller. In such a context, the sales of the banks is from the traditional "product-centric" to "customer-centric" transformation,"differentiated services" Service Differentiated Services.Business system in the banks accumulated large amounts of customer data, data mining techniques can be effective from the large amounts of customer data to find useful information and knowledge, in turn, can effectively improve the quality of customer relationship management, to improve the competitiveness of banks purposes..The article begins with an overview of the concepts and theories, analysis of the bank customer value management data mining techniques in customer relationship management in banks. Followed by analysis of the current situation and existing problems of the Bank of China, Jiaxing Branch Customer Relationship Management, and the use of customer value management theory, a branch of Bank of China Jiaxing customer value assessment model and customer classification system is designed. Finally Jiaxing Branch customer value realization and implementation of the management system, and a detailed description of the data warehouse construction, system key algorithm. And extract the part of the customer data, and gives real examples of the use of clustering algorithms for data mining, classification results to arrive guiding significance. Combined with customer relationship management, targeted personalized marketing classification of different customers, provide personalized services to reduce service costs, increase profits, and strive for greater customer.