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This article's main purpose is to help enterprises maintain competitiveness, retain customers, and get maximum profit from customers, reduce marketing costs, using data mining techniques for customer data collection, analysis of the underlying data and rules that exist in the relationship, in a large database of digging out the useful information in the data, to understand the needs of the customers. In access to relevant information and research results, on the basis of detailed studies of data mining technology, data mining algorithm of decision tree algorithm, customer relationship management (CRM) and data mining application in CRM. Finally applying data mining technology to CRM, customer relationship management (CRM) system developed for housing intermediary, the system adopts B/S structure, based on the RoR framework and web development. Mainly used in data mining decision tree algorithm, on-line analytical processing (OLAP) and data warehouse. Its biggest characteristic is that it can more objective, the formation of intelligent housing information table, saves a lot of manpower material resources, improve the company's operating efficiency, great convenience for the customer.
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