| Customer relationships associated with the business activities of the human, andbecome one of the key factors that affect the success of the business activities. In acompetitive market, how to seize the customers, retain customers, maintain customerloyalty and maintain competitiveness in the market, is the concern of all businessestoday to win and the only way to retain customers is to pay more attention to theneeds of customers. Thus, the distinction between the different types of customers, tobetter maintain and develop valuable customer enterprises is particularly important.With the gradual opening up of the financial industry, the banking industry is facingincreasingly fierce competition. Traditional financial products market strategy isgradually customer-centric services for the target market strategy replaced. Ruralcredit cooperatives as one of the financial institutions, due to historical reasons, interms of their own development is still relatively backward. How to invincible infierce competition with the industry front, we need to focus on customer needs, thecustomer is into the business development of the bank as a valuable resource. Ruralcredit cooperatives, although there are a large number of client resources, customermanagement lacks an efficient method to judge, choose and strive for developmentand maintain client implementation process. Data mining as in recent years, anemerging interdisciplinary, bringing together the database, data warehouse technology,machine learning, statistics, and other fields of technology and method, which uses amultidisciplinary technology for the processing of large amount of data, in the field ofdomestic and foreign financial extensive. Rural credit cooperatives has completed alarge concentration of the province’s data using data mining techniques to obtainvaluable information from the huge amounts of data in order to serve the rural creditcooperatives operating decisions is an inevitable trend.This paper analyzes the premise of the research status quo and developmenttrends in data mining, customer relationship management, and bank customerrelationship management at home and abroad, the current data mining applicationsmature, customer relationship management theory and techniques introduced. On thisbasis, the article discusses the connotation in the rural credit cooperatives, customerrelationship management, target specific implementation of the content and features.Found that a few of rural credit cooperatives financial product sales data, for example, details of the application of data mining processes as well as processes: the decisiontree algorithm modeling a specific customer base to find some kind of financialproduct sales, association rules algorithm modeling intrinsic link between the kinds offinancial products sale. Reference to my social the objective relationship managementway, based on the above studies, Finally, using the C++language of these two kindsof data mining models were implemented in software, and the software run effect isverified, empirical research shows that model of software on the sample forecastaccuracy is higher, so the study is valid, reasonable. |
