The problems are different. The patterns are the same.
A two-person team resolved in three weeks what AI couldn't crack in three months. The method: go to the store.
A beverage brand's analytics tiger team escaped IT governance in name only. Here's what it took to fix delivery and velocity.
How mapping human decisions before touching any technology turned a manual, invisible bid process into a real-time analytics layer for a national franchise.
How a hardware and software company built repeatable data products for Walmart, FedEx, and Lululemon by treating IoT event streams as a universal substrate.
A cloud cost POC became an enterprise BI strategy. What happens when you work at the strategic and operator level at the same time.
A global toy company wanted to prove personalization works. The catch: they couldn't afford to drive more demand. Here's how we built the test anyway.
A Fidelity subsidiary was flying blind on ARR and pipeline health. We rebuilt how they read their own data.
A 12-month data platform build was three months from failure. One developer and a Spark SQL pivot delivered go-live within 1% of historical Acxiom benchmarks.
Sixty percent of retargeting spend was hitting the same users twice. No one knew until we put all the data in one place.
