Insurance Analytics
Saama Is Accelerating Digital Data Transformation in the Property & Casualty Insurance Industry.
Insurance is a competitive business with regulated services that require effective operational management & strategy to ensure optimal risk management. Diverse data sources can serve as fuel for acquiring new/retaining existing customers and will enable the best experience for customers. Modern data & analytics can work as an engine to unlock valuable new insights across all insurance business functions.
Gain an Operational Edge with Saama Insurance Analytics
Modern data and analytics can unlock valuable insights across all insurance business functions, for more informed decision-making and sustainable growth. Partnering with Saama delivers:
- Analytics-driven underwriting, claims, sales, and servicing
- Cross-sell/up-sell automation
- Robust customer acquisition and retention enhancements
- KPI as a Service with near-real-time predictions

Insurance Data and Analytics on Cloud (IDAC)
Saama’s primary offering is an encapsulated data and analytics platform that enables rapid digital transformation and an optimal customer experience. Using intuitive, self-service analytics, IDAC offers a strategic view into disparate data sources through a unified data hub, for extremely efficient data management and modeling.
Features include:
- Intelligent data ingestion
- Custom-built metadata repository
- Actionable insights across business functions
As a Snowflake Center of Excellence, Saama insurance Analytics can help you leverage Snowflake’s unique architecture for unlimited scalability and compelling performance.
Insurance Customer Acquisition, Augmentation, and Marketing (ICAAM)
Predictive analytics has the power to help insurance companies develop stronger pricing and risk management strategies to assist marketing and sales. ICAAM is an API-driven, AI-powered platform that reduces customer churn, boosts policy renewal rates, and improves cross-sell and up-sell efforts by up to 40%.
ICAAM analytics make it easy to identify:
- At-risk customers who need timely, personalized attention
- Policy renewal probability
- Cross-sell and up-sell propensity
- Cost-effective package recommendations
- Customer segments for a more targeted marketing strategy
