Based On Crm Data Mining Decision Support System

The rapid development of Data warehouse and Data mining technologies have promoted update of Decision Support System. DSS is a new application of data mining technologies in CRM(Customers Relationship Management) recently. So people Can idenify classify and evaluate the customers by understanding of the customers characteristic and behaviors in CRM with the help of data mining tools , and then fulfill the purposes of customers loyalty costomers profitability and customers retention and customers acquisition through improving Customer Services.With the background of CRM software developing of XuZhou Construction machinery Group ,the related key technologies about DSS are studied in this paper. After introducing these data mining technologies and methods based on data warehouse, the application of these technologies are expatiated in DSS. In this paper ,the decision tree classify algorithm is choosed as the emphasis.The author designed out the process of SLIQ(Supervised Learning In Quest) algorithm,which is made up of the main following step:pre-sorth best-split, update-label,then provide CRM classifies model with SLIQ algorithm in next chapter.Through utilizing Microsoft DotNet technology, DSS solution that is suitable for the mechanism manufacturing enterprise is provided, then is put into practice at last.