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Abstract
Iranian insurance industry has experienced tremendous growth over the past decade. In the meantime, representatives of the insurance industry have occupied an increasing share of transactions. Thus, the process of selecting a new representative is very important. The study on the characteristics of data warehouse and data mining techniques for selecting representatives of the insurance industry focus.
Here the use of three techniques discriminated analysis, data mining, decision trees and neural networks to predict the duration of the service, premium sales representatives continuity index is evaluated. The results showed that job experience, job position, age, marital status, job, income from previous jobs and policies have been sold, the most important factor in determining the duration of activity of new agents, sold insurance policies issued and renewed insurance policies Are.
The main objective of this paper is to design and develop an intelligent decision support system, or in other words the representative for insurance companies is an intelligent system to help executives in the industry to select quality members.
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