We have vast experience in developing Predictive models for Life and General Insurance domains. We develop statistical models using methods like Logistic Regression, Survival Analysis, Naïve Bayes, and Support Vector Machines for:
- Identifying cross sell opportunities
- Predicting policy lapse/early claim in life insurance
- Predicting likelihood of fraudulent claim in motor insurance
- Estimating frequency and severity of active policies
We partner with insurance companies to validate all statistical models which are part of decision making process in Marketing and Risk Management.