Clustering anaslysis of customer relationship in securities trade [anaslysis read analysis]

This paper applies data mining technology to customer relationship management of securities industry and presents securities business model of CRM based on customer clustering methods. In class classification layer, hierarchical clustering model is used to realize customer classification according to such indexes as trading frequency, trading capacity and interest balance. In the group classification layer, according to customers´ operating style, dynamic Bayes model is adopted in order to group customers. The securities business model and its customer clustering methods have been applied in CITIC Securities Co. Ltd and have achieved successful effect on customer service.