White Papers & Reports

Predictive analytics for insurance

Predictive analytics for insurance

Don’t look in the rear-view mirror. Use predictive analytics to focus on the road ahead. 

Today’s insurance companies face daily challenges such as customer churn and fraudulent claims that can lead to losses for insurance providers. How can insurers cope with the volatility and real-time demands of customers? 

IBM predictive analytics utilizes advanced algorithms to process historical data and to create models that help organizations make predictions about future outcomes. In this white paper, discover key use cases such as customer retention and growth, fraud detection and prevention, customer experience, agent management and risk-based pricing.