Help your team understand and trust your data.
Manufacturers have spent years inside systems that treat their operational data as a vendor asset. Understand it, protect it, and build on it. Without a data team, without cloud dependency, without giving up control.
Whether the data is mid-move, just landed, or running your floor every day, the question is the same: can you trust the numbers your business runs on? Find the work that fits where you are right now.
An independent spot-check of your most-watched operational metrics, established to a recognized standard and documented so the result is defensible.
What OIM Verify is →Full, field-by-field validation across the move, with the metrics that run your plant checked on both sides before you sign off on cutover.
What OIM Validate is →The operations-intelligence layer on top of your ERP. Your data, your hardware, your model, translated to every level of the organization.
What The OIM is →Ownership. Confidence. Understanding. Agency. Accessibility.
These are not features. They are what manufacturers have been denied, and what the work is for.
The same convictions run through all three engagements. They are why the work looks different from the software you have been sold before.
The work runs on hardware you already have. Your data lives with you, not on my servers, and there is no per-seat fee or vendor lock waiting on the other side. You own what gets built.
The person who built a number cannot certify their own work. The value is in an outside check that holds up in front of leadership, which is the one thing an in-house analyst structurally cannot give you.
Enterprise-grade modeling, made accessible to manufacturers who never had a data department. This level of intelligence was never supposed to be only for the companies that could afford to build it.
Twenty-five consecutive runs, 75 million rows, 76 minutes total. Zero failures. No infrastructure, no intervention. If it survives that on a laptop, it runs on whatever you already have.
“I migrated 30,000+ orders feeding five public-facing metrics. Being wrong wasn’t an option.”
I’ve spent more than fifteen years at a major electric utility, over a decade of it in operations: designing work orders, coordinating with operations teams, running planning and scheduling. Along the way I built and delivered data products that gave entire organizations a shared view of the truth. I know what it costs when the numbers don’t survive a system change, because I’ve been the one accountable for them.
That’s why the work starts with proof, not a pitch. The numbers have to be trustworthy before anything gets built on top of them.
Short, opinionated writing from someone who’s actually run operations.
Read the Dispatch →The migration vendor confirmed the data loaded. That is not the same thing as your metrics surviving the move. Why independent verification matters, even when the same person architected both ends.
I’ll tell you exactly what I can do and what I can’t. Fair value exchange starts with the first conversation.
Practical takes on manufacturing data, ERP analytics, and the real work of turning messy source systems into something you can trust.