Operations intelligence, floor-level thinking, and the data questions manufacturers are actually asking.
ERP exports break in predictable ways. Here's how the OIM handles the full range of it. From encoding errors at the gate to null values that make it all the way to the dimension table.
The data exists. The model doesn't. Why I built OIM, and the philosophy that kept it from becoming another brittle framework.
A six-layer architecture that never needs its SQL touched. Here's how config-driven design, dimensional modeling, and a parametric targeting engine converge.
I picked up The Goal trying to get better at influencing executives. What I found instead was a different way of thinking about operations entirely.
I knew Power BI better than almost anyone. That's exactly why I walked away from it.
2.5M rows was the proof of concept. 50M rows in under two hours on a laptop was the proof it was real.
25 runs. 76 million rows. Zero failures. How I built the adversarial test that earns the right to call OIM production-ready.
The OIM started as a Power BI template. Power Query was the plan. Then I hit a wall and found the tool that changed everything.
IT said 4-6 weeks. My executive review was in two. So I figured it out myself. That's where the obsession started.
After a major disruption knocked out service across our territory, I ended up in a room full of executives building the report that would help us earn back customer trust. Here's what I learned.
Build for the person doing the work. Everything else follows.
One operator, 35 work orders, and a shift report that still couldn't answer a simple question. The story behind OIM.
Nobody cares how complicated your analysis was. Here's the one thing that actually gets acted on.
Dashboard graveyards exist for one reason: they don't answer the questions that drive action. Here's the test for whether yours will get used.
Most analytics tell you what happened. The ones that move organizations tell you what to do next and make sure everyone is looking at the same thing.
Why knowing what to work on next is the only thing that actually moves the needle.
Most manufacturers are sitting on years of operational data they never use. Here's what it actually takes to turn that into a clear picture of your floor.