The Research On Metlife Insurance Company CRM

As rapid development of Domestic Economy since the beginning of21st Century, there has been more and more competitive within Insurance Industry. Insurance Companies are gradually realizing that they can obtain and maintain the leading positions in market only through the way of establishing advanced management strategy and core competition. Nowadays, Information Technology is supporting to Business Decision based on data analysis during Enterprise Management Activities, but its depth and extent are not enough for the requirements of ongoing and rapid development. The majority of local Insurance Companies cannot find out the valued knowledge of history transaction by data mining. However, Customer Relationship Management is a new solution to maintain relationship with customer, improve sales and make profits. The background of this thesis is to establish MetLife CRM system. It has setup data warehouse and actualized OLAP (on-line analytical processing) inquiry and data visualization, which supports to business decision. Meanwhile, this thesis uses Data Mining Technology to build Analysis Models of customer response, cross-selling, customer classification and customer retention. And it also comes up with Sales Strategies based on analyzed results and applies them into the practice. Finally, MetLife Company achieves its goal of making profits by improving sales, reducing cost and building customer loyalty.