Use of predictive models is becoming more common throughout the business landscape.
Underwriters need to understand the basic concepts as these models impact pricing, marketing and underwriting of life insurance products.
This primer introduces and describes predictive modeling, the development of predictive models, types of models, advantages and disadvantages of such models, and closes with a glossary of terms commonly encountered when discussing models with other professionals in your organization. The article also addresses the distinction between predictive modeling and lifestyle-based analytics.
This primer does not explore the statistical modeling mathematics in detail. Nor does it represent an endorsement for, or an argument against, any implementation or use of predictive modeling.
