Self-serve analytics with Metric Store
Self-serve analytics at Porter: a Metric Store and Semantic Layer
- SQL-to-insight time
- 4d → 2h
- Dashboard build time
- 7d → 2d
- Ad-hoc report requests
- −90%
Analytics
Analytics work, with results
Four case studies on self-serve analytics, AI-native analytics, data governance and BI at scale. Each one covers the problem, what I built, my role and the result.
AI-native analytics with MCP
AI-native analytics: grounding LLM agents in governed metrics with MCP
Data platform and governance
One source of truth: data platform and governance at Porter and Zepto
- Data accuracy (Zepto)
- +40%
- Source of truth across all business lines (Porter)
- 1
BI platform at scale
BI platform at scale: 1,500+ users and 270+ KPIs at Zepto
- Platform users
- 1,500+
- Standardized KPIs
- 270+
- Data accuracy
- +40%
Building or scaling an analytics function?
Let’s talk about building your team, making business metrics reliable or improving access to analytics.