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Discover How Leading Insurers Are Solving the Consistency Problem with a Universal Semantic Layer
Insurers already have the data they need. What they don’t have is consistency.
- Inconsistent Metrics: Loss Ratio, Combined Ratio, and other core metrics are calculated differently across tools
- Disconnected Systems: Policy data (Duck Creek), claims data (Guidewire), and billing systems don't integrate
- Logic Locked in Tools: Business rules are embedded in legacy BI platforms like Cognos and Qlik
- Fragmented Governance: Security and access controls are managed separately in each tool
Over time, these issues grow, becoming a structural barrier to reliable analytics.
This guide breaks down why this happens, where it shows up, and how leading insurers are using a modern solution to unify data logic across their organization.
Learn how a universal semantic layer connects data sources, standardizes metrics, and enables governed analytics at scale.
Featuring real-world stories by insurance leaders:
Inside this guide:
- How Helsana reduced 2,000 reports to 200 (90% reduction, CHF 1.3M saved)
- How Fannie Mae eliminated manual reconciliation in risk reporting
- How Amica consolidated fragmented BI environments
- How SAVA enabled fraud detection with governed definitions