Data mining can be defined as the process of selecting, exploring, and modeling large amounts of data to uncover previously unknown patterns. In the insurance industry, data mining can help firms gain business advantage. For example, by applying data mining techniques companies can fully exploit data about customers' buying patterns and behavior and gain a greater understanding of customer motivations to help reduce fraud, anticipate resource demand, increase acquisition, and curb customer attrition. This paper discusses how insurance companies can benefit by using modern data mining methodologies and thereby reduce costs, increase profits, retain current customers, acquire new customers, and develop new products.

数据挖掘可以被定义为选择、探索和建模大量数据的过程，以发现以前未知的模式。在保险业，数据挖掘可以帮助公司获得商业优势。例如，通过应用数据挖掘技术，公司可以充分利用有关客户购买模式和行为的数据，并对客户的动机有更多的了解，以帮助减少欺诈，预测资源需求，增加收购，并遏制客户流失。本文讨论了保险公司如何通过使用现代数据挖掘方法获益，从而降低成本，增加利润，保留现有客户，获得新客户，并开发新产品。