The Application Of Data Mining In Customer Relation Management Of Commercial Bank

At present, there exists a complex competition complexion among commercial banks in important industry customer and personal customer. With more and more foreign capital entering into the market of China, finance industry will compete severely for high grade customer and expand market occupancy of new operations. How to find the most effective customer and develop their own competitive operations? The technology of data mining is thus developed. The value of data mining application is in that it can help financial enterprises to analyze the key factors affecting their operations and thus help them to increase income, reduce cost, make the management decision be scientific and customer analysis be accurate. It can be said that data mining technology application is an absolute necessity for the realization of financial information. With the practical requirements application background, such as financial customer relationship management, main contributions and characteristic are as follows:1) we introduce the development of customer relationship management in china, analyzed and summarized the inefficient of tool for CRM in china.2) Basing the characters of commercial bank in china, we offer an architecture of the CRM with Data mining technology. Because most commercial bank in china have not build the Data Warehouse, we mine data from the relationship database.3) We implement some of data mining arithmetic witch can be used in `s the CRM of commercial bank. such as k-average method of clustering , decision tree method and BP method of classification, and Apriori method of association analysis. We make use of the data mining technology in the CRM of commercial bank, give the support for classifying client and cross-sell. This article have some academic worthiness and biggish applied worthiness.