Operations Intelligence Model

Your floor runs on instinct.
It shouldn't have to.

OIM delivers manufacturing operations intelligence your team will actually use — built on your data, running on your hardware, answering questions your ERP never could.

Local-first. No cloud dependency.
ISO 22400 & SMRP metrics embedded
CSV to dashboard by end of week
Built by an operator, for operators

CSV in. Answers out.
Same week.

No implementation project. No consultants. Drop your production exports and OIM builds a dimensional model, validates your data quality, and delivers dashboards — fast.

Demo · CSV → dimensional model → dashboard

Enterprise-grade analytics.
Without the enterprise price.

EOD
Friday

Go from raw CSV exports to operational dashboards inside a single week

0
Cloud dependencies

Your data stays on your floor. No subscriptions, no lock-in, no IT project

ISO
22400 + SMRP

Industry-standard metrics embedded in the model — not bolted on after the fact

1→∞
Integration path

Start with CSV. Grow into SQL, MES, and IIoT on your timeline, not a vendor's

Four steps from data
to decision-ready.

OIM is designed to be deployed, not implemented. Here's what the first week looks like.

01 — Ingest

Drop your exports

Drag production, downtime, and quality CSV exports into OIM. No ETL pipeline to configure. No data engineer required.

02 — Validate

Know what you have

Before any analysis, OIM surfaces data quality issues — what's missing, what's broken, where to focus cleanup. You trust the output because you've seen the input.

03 — Analyze

Operations dashboards by Friday

OEE, throughput, downtime paretos, quality trends — built on your actual data. Designed for the people running the floor, not just analysts and executives.

04 — Expand

Grow when you're ready

SQL connection, MES integration, IIoT data — OIM's architecture meets your team where you are and expands as you're ready. No rip-and-replace.

Designed from the floor up.

Most operations intelligence tools are designed for analysts and sold to executives. OIM is built for the people actually running production.

Local-first architecture

Runs on hardware you own. No cloud dependency, no vendor access to your production data, no recurring SaaS fees on top of your license.

Operator-readable SQL

The schema is readable. The logic is auditable. No black boxes you can't explain to your team. If you want to understand what OIM is doing, you can.

Data quality first

OIM tells you what's wrong with your data before it tells you anything else. The scout layer is foundational — you can't build reliable intelligence on unreliable inputs.

Enterprise modeling, accessible cost

Medallion architecture, Kimball dimensional modeling, ISO 22400 metrics — the same architectural foundations used by enterprise platforms, without the enterprise price tag.

"I built this because I needed it. The enterprise options were either unaffordable or unusable by the people doing the actual work."

I've spent 13 years managing large-scale manufacturing and utility operations — building intelligence tools out of necessity, on top of systems that weren't designed to answer the questions operators actually ask.

OIM is what I wish I had. The analytics are sophisticated. The interface is not. It's designed to be used by the person running the shift, not just the analyst preparing the weekly report.

Built for
  • Discrete manufacturers running Epicor or similar ERP
  • Operations teams who've outgrown spreadsheets
  • Plants that can't justify a $500K analytics implementation
  • Aerospace, automotive tier 2/3, precision machining
  • Metal fabrication and medical device manufacturing
  • Mid-market manufacturers ($150M–$500M revenue)

Let's find out if
this solves your problem.

Not a sales call. I'm looking for manufacturing ops leaders who'll tell me honestly whether I've built the right thing — and what they'd pay for something that did.

david@345intelligence.com
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