The use of generalized linear modeling and other advanced techniques in insurance pricing has resulted in more accurate and more detailed pricing. Many companies are now looking to 3rd party data for additional signal on the assumption that the identifiable signal in their existing data has been found. This session will provide case studies of how rule induction can be used to identify signal using only currently existing fields. Examples will include cases where signal is found at the coverage level, over and above existing GLM models. The session will also show how other levels (risk or policy) can be used to extract additional information from existing databases.

Moderator/Panelist:
Christopher L. Cooksey, Senior Actuarial Consultant, EagleEye Analytics