One formula. Seven assumptions. No witnesses.
One chart. Twelve tweaks. Zero time left on the calendar.
The metric everyone trusts... incorrectly.
Adoption is easy. Profit is harder.
The models are powerful. The inputs are not. And somehow... this keeps being ignored.
Adoption is exploding. Costs are compounding. Somewhere between the two lies the real investment risk.
Great model performance doesn’t guarantee a business decision.
The gap between exploration and execution is where most dashboards lose trust.
Power BI didn’t create the disconnect. It revealed it.
After a decade in Data, AI, and analytics, one pattern kept repeating, and vendor decks never mentioned it.
A controversial choice. Massive impact. The moment that shifted AI from buzzword to baseline reality.
Why CEOs stall teams by oversharing context instead of delivering direction?
