Study Of CRM System Based On Neural Network

Customers Relationship Management (CRM) is a kind of advanced thought. It requires the enterprises cooperate with the process outside or inside and improves the service level based on the direction of the customers. CRM is a management software and technology too. It combines the best business practice, data mining, data warehouse, one to one marketing, SFA and other information technologies with together and provides the enterprise with an automatic operation scheme. Based on it, the enterprise has an interface to face it's customer and achieve it's purpose of transforming from traditional enterprise model to modern enterprise model based on E-Business.The data mining is a process of distilling the information and knowledge that is hided in the data sets and isn't aware before, but is useable very much. Perhaps, the data sets include noise, missing and inconsistent parts. The data mining is a new technology that can distill hidden, predictive information from a large database or data warehouse. It can mine the potential model and find the most valuable information to direct the business behavior or assist the science research with something.In this paper, the formal description of data mining and digital neural network was put forward, and the characteristics of these two kinds of knowledge were analyzed. It was also analyzed that the method of classifying the telecom customers and the detail customer-clustering algorithm based on the SOM described, and then the model was built which can classify the customers who use the broad band. At the end of this paper the author summarized the work and proposes the future research directions.