数据挖掘技术在人寿保险CRM系统中的应用研究

越来越多的企业开始使用CRM系统,并加强客户价值分析,为个性化营销提供依据.但系统数据的深度利用还有待开发.本文以保险公司为例,尝试将数据挖掘技术应用到CRM系统中,并提出了保险业的客户价值、客户细分等数据挖掘模型,利用调查问卷收集的客户数据,在SAS Enterprise Miner中对模型中相关因素进行模拟挖掘,为保险公司开展数据挖掘提供参考.

Application Analyses of Data Mining Technology in CRM System of Life Insurance

More and more enterprises begin to employ CRM systems to enhance the analyses of the customers' value,and thus providing basis for individualized marketing,but the data using needs to be explored further . This paper, taking the insurance company as an example, is making an attempt to use data mining technology into CRM systems and proposes the data mining model for the customer value,customer classification,etc.. simulated mining has been done in the SAS enterprise miner with customers' data collected from the questionnaires, which will be contributory when insurance companies adopt data mining.