A clear, shared view of the floor. One you actually own.

The OIM takes the raw operational data your ERP already produces and builds it into a real model. A Kimball dimensional model on a medallion architecture, with ISO 22400 / SMRP-aligned metrics: throughput, OEE, downtime, reliability, quality. Not a report someone else built and handed you, but a foundation you own, understand, and can defend.

It runs local-first, on hardware you already have. No cloud dependency, no vendor access to your production data, no IT team required to stand it up. The same intelligence enterprises pay data teams to build, made accessible to a plant that doesn’t have one.

OIM is where the work leads once the data is sound. OIM Verify and OIM Validate prove your numbers survived a move. OIM is what you run on afterward, with the same numbers translated to every level of the organization.

Before any operational insight can matter, someone has to build the model. Take the raw export, define what “downtime” means for this floor, map the reason codes, decide which timestamp to trust. That work is unglamorous and rarely talked about, and without it nothing else works. Most manufacturers never get it, because it was only ever built for companies with a data team.

The payoff is a single shared truth. The same data model speaks to every level. Operators see what they need, plant managers see theirs, executives see theirs, and no reconciliation meeting is needed to argue about whose number is right. That is the difference between a black box you inherited and a system you can reason with.

1. Map what your data means. Walk your tables field by field, confirm what each one represents, and flag what diverges from the standard. A one-time setup, after which OIM learns your system so you don’t have to re-explain it.
2. Schedule it, then leave it. Once mapped, OIM refreshes on a schedule you control. No manual exports, no re-loading files. Your view stays current on its own.
3. Translate to every level. One data model, rendered for the people who need it: the operator’s view, the plant manager’s, the executive’s. No one reconciles three versions of the same number.
4. Show the data quality alongside. OIM scores what’s missing, inconsistent, or needs attention next to the dashboards, not as an afterthought. You trust the output because you’ve seen the input.