Data Mining In The Analysis Of Life Insurance Customers

Data Mining (Data Mining, DM), also known as Knowledge Discovery in Database,of KDD (Knowledge the Discover), is the hot issue of artificial intelligence anddatabase research in the field, the so-called data mining is to reveal hidden from thelarge amounts of data in the database containing the previously unknown and thepotential value of non-trivial process. Data mining is a decision support process, it ismainly based on artificial intelligence, machine learning, pattern recognition,statistical, database, visualization technology, a high degree of automation to analyzecorporate data to make inductive reasoning, dig out potential models to helpdecision-makers to adjust the marketing strategy, reduce risk, make the rightdecisions.The Customer relationship management, CRM, business activities for long-termcustomer relationships, in order to enhance the business success, one of its aims is toassist enterprises to manage the sales cycle: the solicitation of new customers, retainold customers, provide customer service and further enhance the relationship betweenbusinesses and customers, and to use marketing tools to provide innovative,personalized customer negotiations and services, supplemented by informationsystems or IT such as data mining and database marketing to coordinate allcustomerinteraction in sales, marketing and service. With the increasingly fierce competition inthe insurance industry, and foreign insurance, companies have to achieve strategictransformation, have introduced a Customer Relationship Management, to improvethe competitiveness of enterprises. Customer segmentation is the basis of the effectiveoperation of the CRM, reasonable breakdown of the customer, providing personalizedand differentiated services to improve the competitiveness of enterprises.In this paper, data mining technology in the insurance industry, customer analysis,customer segmentation, do the following: introduces the basic concept of data mining, the prospects for the development of data mining technology and customerrelationshipstatus of the management system at home and abroad, and theAVIVA-COFCO life insurance customer analysis.Chapter Ⅱ introduces the key technologies used in the instance of the institute of paper,data mining functions, the typical tools and commonly used classification, clusteringanalysis algorithm in data mining, customer relationship management system.Chapter Ⅲ introduces the system requirement in detail. Chapters IV and V introducesthe main applications of data mining in customer analysis in the insurance industry,the data mining process, and the precision marketing project in AVIVA-COFCO lifeinsurance, in accordance with the basic process of data mining, and its overall design.A new customer segmentation method is proposed in the detailed design,create acustomer segmentation model based on cluster analysis, and model effectiveassessment, according to the results of the analysis, the development of promotionalprograms and marketing strategies.Finally, this paper discussed the development status of data mining and furtherresearch direction.