| Insurance industry serves the risk management needs | | | | strategies based on the segments. By using simple |
| of all types of organizations, individuals or group of | | | | market segmentation techniques Insurers can segment |
| individuals. In doing so, it develops various insurance | | | | the market based on some criteria pre-decided by |
| products meeting various insurance needs and try to | | | | them. But, they can not be sure that the criteria |
| provide these products to various individuals or groups. | | | | selected by them is the best one. Clustering used as |
| Thus, there are retail markets for insurance products | | | | part of Business Intelligence Technique mines the data |
| through which insurance companies do significant part | | | | and identifies valuable clusters which otherwise might |
| of their business. | | | | have been ignored. |
| Understanding the customers or group of customers | | | | Similarly, there may exist various hidden association |
| and approaching them with appropriate products in | | | | patterns in the data. It may be that if a set of |
| effective way are critical success factors in retail | | | | conditions are met the chance of meeting some other |
| insurance marketing. Business Intelligence techniques | | | | set of conditions are very high. Such patterns can be |
| help in doing these. | | | | converted to association rules and used in insurance |
| Business Intelligence techniques are actually | | | | product design, services packaging, customer |
| mathematical and statistical techniques that are used in | | | | relationship management etc. |
| business. Analytical techniques have been in use in | | | | Business Intelligence techniques, if properly applied in |
| business for quite long time now. But Business | | | | retail Insurance marketing can lead to a situation in |
| Intelligence techniques differ from them. While using | | | | which each customer can feel that the insurance |
| analytical techniques, users have some questions or | | | | policy has been designed keeping his requirements in |
| requirements in mind and they apply the techniques to | | | | mind. Customers can get the feeling that they are |
| get the answer to those pre-decided questions. | | | | individually being cared. Insurance companies can |
| However, in case of Business Intelligence techniques | | | | design and launch various Insurance products |
| users are not clear about the questions itself. These | | | | customized to the requirements of various market |
| techniques find valuable hidden patterns in the data | | | | segments. Any significant change in customer |
| that can be used in taking business advantage. | | | | preferences can be quickly identified and Insurance |
| Using these techniques one can cluster the retail | | | | companies can get prepared to handle that. |
| customers and formulate marketing strategies suitable | | | | There are various Business Intelligence tools available |
| for different clusters of customers. Insurance | | | | as integrated part of the software used by Insurance |
| professionals specially working in retail insurance or | | | | companies. These tools can be effectively put on use |
| micro insurance sector know the importance of | | | | to take the above business advantages. |
| market segmentation and formulating various | | | | |