What does a semantic layer look like in production across three different enterprises?

Slickdeals scaled analytics across finance, product, operations, and sales, serving consistent metrics into both Tableau and Excel without sacrificing domain relevance. TELUS built a centralized semantic layer using SML as the authoritative repository for KPIs, powering everything from executive reporting to engineering root cause analysis. Vodafone Portugal used AtScale to retire a legacy on-premises OLAP environment and migrate to a governed, cloud-native analytics architecture, improving performance, reducing cost, and enabling self-service access across the business.

One consistent finding: a semantic layer is the foundation that makes analytics trustworthy, portable, and scalable across the enterprise.