Fares Kamal

Mercedes‑Benz Korea runs its business on a rich set of sales and steering KPIs maintained in Power BI semantic models and a central Master KPI catalog. Over time, this BI‑centric implementation made it hard to reuse KPI logic for new AI experiences and across platforms. To enable “Talk to Your Data” on top of governed KPIs, Mercedes‑Benz Korea partnered with Databricks to move KPI logic into the Databricks Lakehouse and Unity Catalog. In this session, we show how we developed an automated DAX‑to‑SQL transpiler that converts existing DAX measures into Unity Catalog Metric Views, while preserving semantic parity with legacy reports. We’ll walk through the architecture, how we use the Master KPI List as the semantic contract, and how we tuned Databricks Genie with KPI‑aware metadata and instructions. Finally, we’ll share lessons from making AI agents production‑ready—from handling complex DAX patterns to rolling out self‑service “talk to your KPIs” capabilities across markets.