SAS for Underwriting
Make faster, more profitable underwriting decisions with analytics.
Overview
SAS provides a comprehensive analytics platform that insurers use to enhance their underwriting processes. This is not an out-of-the-box underwriting workbench, but rather a powerful set of tools for data scientists and actuaries to build custom risk models, perform complex data analysis, and deploy predictive analytics into their underwriting workflows. It helps insurers move from traditional, rules-based underwriting to a more data-driven, analytical approach.
✨ Key Features
- Advanced predictive modeling (machine learning, AI)
- Data mining and text analytics
- Business rules management
- Real-time decision engine
- Model management and governance
- Data visualization and exploration
🎯 Key Differentiators
- End-to-end platform from data to decisioning
- Reputation for reliability, governance, and scalability in enterprise environments
- Deep industry expertise and pre-built solutions for insurance
Unique Value: Provides a powerful, governed, and scalable analytics platform for insurers to develop and deploy advanced risk models, leading to more profitable and accurate underwriting.
🎯 Use Cases (4)
✅ Best For
- Building a complex generalized linear model (GLM) for pricing commercial auto insurance.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Companies looking for a simple, pre-built underwriting user interface
- Organizations without data science or actuarial resources
🏆 Alternatives
Offers a more integrated and governed environment compared to a patchwork of open-source tools, which is critical for regulatory compliance and model management in insurance.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (Varies tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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