Today’s analytics leaders face a new challenge: data trust.
When every team and every AI copilot reports a different number, the problem isn’t your dashboards. It’s your definitions.
This Field Guide shows how forward-thinking data organizations are using semantic layers to:
- Align business logic across BI, AI, and data platforms
- Eliminate metric drift and build governed self-service
- Reduce compute costs while improving performance
- Turn AI from a compliance risk into a competitive advantage
Featuring real-world examples from global enterprises and insights from the 2025 GigaOm Semantic Layer Radar Report, this playbook gives you the proven framework to move from BI optimization to AI readiness.
Analyst Validation
“AtScale’s open Semantic Modeling Language (SML) and native Model Context Protocol (MCP) support set a new standard for interoperable semantics across BI, analytics, and AI ecosystems.”
— GigaOm Semantic Layer Radar Report 2025
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