A Customer Intelligence System Based on Improving LTV Model and Data Mining

Customer relationship management is one of the leading business strategies for today's companies, the key to successful implementation of CRM is customer intelligence. This paper designs and implements a customer intelligence system based on improving LTV model and data mining. Two data mining techniques are used including self-organizing map and fuzzy decision tree. The proposed system provides such functions as customer identification, customer loyalty analysis, customer satisfaction analysis, profitable customer segmentation, and customer differentiation. It can be used to make customer strategies