Data Mining Technology In The Chinese People's Insurance Customer Relationship Management System

IN 21 century the insurance companies have been making a rapid progress. The summary of insurance premium is much larger than before. There are still some crises such as aboil competition. As China became the member of WTO, the civil insurance company will encounter the competition from the foreign insurance company. The people's insurance company of China(PICC) regards the CRMS as an important way to gain more customer.The thesis discuss the basic concept and developments of data mining technologies firstly. Then introduce the basic concept of CRMS.This thesis will elaborate the concrete application of data mining techniques in PICC CRMS. The selection of program tool is SAS. The models are classify model, predict model and loss model. In classify model Cluster technology will be used. The key technology used in predict model is Logistic return. The last part of the thesis introduce how to use ARIMA time serial to set up predict model.