Research On Application Of Data Mining In Security CRM

After monopoly in security is broken, strategies for stock broker company to get survived in the competitive market include market-driven, customer-oriented concepts, customer classification in finer granularity, comprehensive customer service management system, and building strong service brand. Customer relationship management (CRM) system is the application of information technology in modern business management.As the computers have been used in many fields, security companies have accumulated large number of primitive data. But these resources have never been effectively utilized. So the situation with abundant data and poor knowledge has been formed. Data mining technology is just the golden key to open the door.The emphasis of this article is using Data mining technology in security CRM, based on the basic theory of Data mining and CRM. In the article, after analzing the struction of the security CRM, the typical application is brought to resolve availably the problem of low function of disposal high degree data. In the article, the key program in the data mining process is analyzed, such as analyzing customer information, building the data warehouse and designing the data mining technology, according to the proceed of Data mining. As an example, K-means technology in clustering method is studied, and the article provide and an improved K-means method.Finally, we chose the department of a security company as an example. The case, first, introduces the problem of company's data applied. Then, the article definte the direct current position of data, description of data, wash of data, integration and transition, building model, apprehension and explanation of mining outcome. So the problems to be watched by data mining are summed up.