How Insurers Are Unifying Business Logic with a Universal Semantic Layer Insurers don’t lack data, they lack consistency. As core metrics like Loss Ratio and Combined Ratio are calculated differently across tools, policy data from Duck Creek, claims data from Guidewire, and billing systems remain disconnected. Business logic is locked inside legacy BI platforms such as Cognos and Qlik, while governance and access controls are fragmented across multiple systems. Over time, these issues compound into a structural barrier to reliable, trusted analytics. This whitepaper explains how leading insurers are solving the consistency problem with a universal semantic layer that unifies data logic across the enterprise. It breaks down why inconsistency emerges, how it shows up in day-to-day reporting and decision-making, and what a modern, AI-ready semantic architecture looks like in practice. You’ll learn: How a universal semantic layer connects disparate policy, claims, and billing data sources. How to standardize key insurance metrics and business rules across tools and teams. How to enable governed, scalable analytics—and prepare your data foundation for AI-driven use cases. Download the guide to see how insurers are turning fragmented systems into a single, trusted source of truth.
