摘要
随着我国保险市场的开放,我国保险业的垄断格局被打破,竞争也日趋激烈。保险业作为传统数据处理密集型行业之一,已经积累的大量业务数据。如果能够根据保险公司的实际情况,构建数据仓库平台,利用数据挖掘技术挖掘其中蕴涵的知识和信息,就能有效地制定市场策略,以及时把握市场机会。结合A人寿保险公司的实际情况,详细设计和实现了A人寿保险公司的数据仓库,接着以该数据仓库为数据源,分别实现了客户流失挖掘模型和客户理赔风险模型,利用直观的图表方式将数据挖掘的结果展示出来。最后给出了模型的验证与评价方法,得出了有价值的结论,可以为保险公司的决策层提供参考。
With the openning of domestic insurance market,foreign insurance companies entered,which break the monopolization of domestic insurance.The competition between insurance companies is intense.Insurance is a traditional industry which faces lots of business data everyday.If the insurance companies can construct data warehouse according to the actual situation and scoop out information from it,then they can efficiently make marketing tactics and seize opportulities.Firstly,designed the data warehouse of A Life Insurance industry detailedly.Secondly took the data warehouse as data source,desinged and realised models of customer churn prediction and customer compensate risk prediction.Finally,verified and evaluated the methods and gave out valuable conclusions which can provide reference to the management levels of Life Insurance companies.
出处
《计算机技术与发展》
2011年第6期157-160,共4页
Computer Technology and Development
基金
国家自然科学基金资助项目(70771067)
关键词
数据挖掘
人寿保险
客户流失
客户理赔
data mining
life insurance
customer churn
customer claim
