Research On Customer Relationship Management Of Insurance Companies Based On Data Mining—Taking Insurance Company A As An Example

For any company,customers are one of the most important strategic resources,and the central management of customer relationship management is based on modern information technology.Customer relationship management system is based on data mining,that is,insurance uses data mining technology to deeply analyze and explore customer information,in order to more accurate subdivision of customers.This technology can show the pattern and trend of customer consumption well,and can estimate the profit that customers can create for insurance,which is helpful to improve the accuracy of insurance company's decision.So how to better apply data mining technology to customer taxonomistsBased on the research and integration of relevant documents,this paper expounds the concept and connotation of customer relationship management,the core concept and its role to insurance companies,and then expounds the concept and process of data mining,and clarifies the importance of data mining technology and customer relationship management concept to insurance company customer relationship management;On this basis,the data mining technology is introduced into the customer relationship management of the insurance company,and the RFM model is used to analyze the customer classification and value of the customer relationship management of the insurance company,and the customer relationship management of A insurance companies is analyzed.There is a more obvious purchase demand between households,for different types of insurance products between the degree of acceptance,purchase desire is different.And these problems will directly affect the customer's satisfaction with the purchase of insurance.In addition,the company's customer management and service level,product quality and income will directly affect the choice of different customers for insurance products.However,the current problem A insurance companies is that they do not have a good customer relationship management system to give data mining,and the distinction between different customer categories and values is vague,so that they can not accurately design products,provide services according to their needs,and ultimately lead to their competitive advantage.Lower.Based on this,this paper designs the customer relationship management system which meets the needs of customers and can distinguish high value customers and inclusive institutional customers.From the operational level,it is proposed that we need to further improve and optimize the core business,enhance the R & D ability of local products,and attach importance to brand effect and public relations benefit.From the level of analysis,continue to dig into the market customer needs,good analysis and research.Through the above optimization paths and methods to truly establish a set of requirements,with the advantages of customer relationshipmanagement system,and finally clear different types and value of customers specific optimization management Strategy to help insurance enterprises in the process of innovating customer relationship management system and improving customer satisfaction to constantly strengthen the short board,innovation and development.