Provide appropriate services to potential customers by data mining techniques in e-banking area

During the past two decades, perspective of competition in the banking industry has been changed significantly. This is due to forces such as new laws, globalization, and grows of technology and becoming bank's services to products, and significant grows in customer's demands. Therefore banks try to offer appropriate service to potential customers, and new services offer with better analysis so that with customer behavior analysis, we can predict risk of new investment and obtain appropriate segmentation of customer demand for these services. With such as analysis, company can prevent additional cost of marketing and also increase acceptance of services. Whereas decision making environment made of different factors, we need models so we can analysis more variables and also enable capability of information provision for decision making. In this paper, we present a model for analyzing the behavior of customers with self-organizing map, and discovering association rule among bank's services.