The Research of Data Mining Techniques Applied to Customer Relationship Management of the Life Insurance Industry

• Main Authors: Yu-Hsin Chu, 朱瑀馨
• Other Authors: Tong-Liang, Kao
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/52947223086407817578

碩士 === 淡江大學 === 保險學系保險經營碩士班 === 95 === The conduct of the market of life insurance is getting competitive. The dealers in life insurance not only compete against the craft but face the minacity accompanied by foreign companies. Under the trend of integrated financial service, the dealers in life insurance also face the challenges of other financial industries. Enabling enterprises to manage effectively, enterprises must segment the market to find out the most efficient and cost effective channels of marketing. And enterprises should set up the service channels that can meet the customer’s need. Enterprises can learn of meaningful information from a large number of materials through the technology of data mining, and then transfer the information into useful knowledge. Enterprises can take the knowledge as the reference of strategy for marketing and service. The research collects the information about the customer buying insurance and investigates experiences gained after customers’ purchase with the investigation method of the questionnaire, transferring the implicit knowledge into information as enterprise assets by combining data mining and the Apriori algorithm, and the cluster analysis. The results can be used as consultations of management. The study shows that although the channels of the marketing and service are getting diversified, customers still prefer the salesmen as the way to contact with the insurance companies. The enterprises can cater to the customers’ need and elevate the degree of satisfaction through providing the information and using strategic alliance from different business fields.