Research On Life Insurance Customer Segmentation Based On Data Mining

In recent years, with the rapid development of social information process, data as a resource has been penetrated into every industry and business areas. The internet plus and the era of big data, so that the financial industry is undergoing a revolutionary and subversive changes, the insurance industry is making new changes. Insurance companies in the daily interaction with customers will produce amounts of data flow, how to make full use of these information to provide decision support for the decision makers to provide a space for the development of the enterprise, which is a challenge to the insurance industry to control data ability.The customer’s data information is captured by the transaction processing system, the data is collected and analyzed by the system program, and the data is stored in customer data warehouse at last. The existing database system has realized the massive storage of data information, and has the functions of simple statistics. The insurance companies can use their own data warehouse to realize customer demand forecast, to expand the depth of customer marketing, to find the most effective marketing clients for their customers, to develop the competitive business, as the insurance companies competing to study the issue.In the process of research on a large number of customer information, customer segmentation is an important basic work in the insurance industry and the whole industry. If the insurance companies use the traditional method of data analysis for the customer segmentation, then the companies will find it difficult to solve the problem of the agent’s marketing,and at this time how to use data mining technology to establish the perfect customer segmentation scheme is particularly important.In this paper, combined with a life insurance company’s customer information, through the use of data mining technology to customer segments was tried, and achieved valuable results. The main contents are as follows:1、According to the insurance customer data information and business needs to establish the general data structure of the research, and the use of data mining technology to analyze and transform the actual data, in order to improve the quality of data analysis, so as to provide a good basis for data modeling..2、 Using data mining tools Clementine, establish the C5.0 decision tree model, the K-Means clustering analysis model, the Logistic binomial regression model, the association rules Apriori model, to analyze the customer data in our company.3Through the analysis of sample data, test data analysis model of the processing effect, the classification of customer sample and group characteristics, and on this basis for the future of the customer market forecast.In this paper, the research method is to help the company marketing strategy, to find new customers and retain old customers, improve the market competitiveness, and make a certain contribution.