Increasing level of competition between the markets, made the managemers and organization analysts to seek solutions that bring a competitive advantage for organizations. According to literature, using customer knowledge to adopt strategies, for customer satisfaction, direct organizations toward this goal. On the other, expand taking advantage of update technologies in information and communication, in particular, in banks cause to staying large amounts of data that analyze and make decisions based on their with conventional methods of reporting and statistical methods, is not possible. Data mining is a powerful and update tool that is proposed for data analysis to extract customer knowledge in this thesis.
The purpose of this study that titled as “Knowledge management of the Mehr Eghtesad bank customers using data mining techniques”, is segmentation of the customers of the Mehr Eghtesad bank, aimed to discover the similar behavioral characteristics, for help the managers in banks to facilitate the adoption of appropriate strategies for each cluster and consequently preserve, strengthen and develop relationships with customers and ultimately profitability for the bank. Raw data for this study were extracted from the database of Mehr Eghtesad bank.
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