Clarivant

Clarivant rebuilds mid-market data platforms when the stakes are highest: a license sunset, a migration mandate, or an "LLM on our data" initiative with no one to build it. The principal — not a bench of juniors — does the work: previously senior data/analytics roles at P&G and eBay, co-author of a published System Dynamics Society paper on supply-chain dynamics.

Documented outcomes: $84M in revenue validated to 0.002% accuracy for a global cloud-security SaaS (surfacing 15 silent production bugs and a $472K undocumented rate anomaly); 377 legacy BI objects migrated to 51 tested dbt models in 45 days — 606% Year 1 ROI, 86% complexity reduction, 24–48× faster deployments; and the complete modern data stack (Snowflake, dbt, Tableau) for Grupo AFAL — Carl's Jr Mexico, 100+ locations.

Engagements start with the Data Stack Diagnostic: a fixed-scope 2–3 week assessment ending in a full inventory, findings, and a fixed-price quote for the rebuild.