Semantic layer for governed self-serve analytics
Problem: Analytics consumption needed to scale without metric drift, duplicated logic, or disconnected AI experiences.
Impact: Stronger metric consistency, better self-serve foundations, and a clearer path for AI agents to work from governed analytics assets.
- Established reusable modeling and data-asset maturity standards.
- Designed semantic layer patterns for BI tools, business systems, and AI agents.
- Connected governance practices to how teams define, discover, and reuse business logic.