AI workflows and business analytics, out in the real world
A few projects from the past couple of years. Each one started with a team losing time or missing visibility, and ended with a system that works for them every day.
Executive cost dashboard from raw cloud spend data
Leaders couldn't easily see cost drivers across business units. Budget and spend data lived deep in Databricks, far from the people deciding on it.
A Power BI dashboard with KPI cards, trend lines, and variance breakdowns, fed by transformed Databricks data and refreshed automatically.
Asking an AI partner about live business data, in plain English
Performance metrics across several platforms sat in a third-party data tool. Getting a quick answer meant exporting and pivoting every single time.
An MCP connector from the data platform to Claude, with OAuth configured end to end alongside the vendor's developer team.
Cross-platform spend, ROI, and KPIs in one view
Spend and results were split across platforms and brands, so nobody could compare performance on equal footing or see where budget was earning its keep.
A unified dataset and interactive dashboards showing spend and ROI trends, plus a KPI view that compares every channel side by side.
Have a problem that looks like one of these?
Tell me what's eating your team's week or what you wish you could see in one place. If AI workflows or analytics can fix it, I'll show you how.