Data mining techniques in the banking industry

The banking industry around the world is undergoing drastic and dramatic changes, and with the spread of ebanking, it has become easier to record transactional information and data is growing significantly. By analyzing CRM database information, banks can better identify customers. As well as optimizing the optimal allocation of resources to more profitable customers, data mining techniques are well-known tools for analyzing and analyzing customer data. It will change the way special and valuable customers are identified from the list of all customers and eventually discover loyal customers. In this research, a comprehensive framework for classifying data mining techniques in customer relationshipmanagement is presented and then to examine the applications of data mining techniques in the banking industry. Intermediate marketing, risk management, fraud detection, business acquisition and customer retention are discussed below. The conceptual framework used is presented below.

Data mining techniques in the banking industry Keywords:

Customer relationship management , e-banking , cross-marketing , risk management , fraud detection Introductio