Ask an IT director and an OT engineer at the same plant to describe the state of their data, and you will often get two completely different answers — not because either one is wrong, but because they are looking at two systems that were never designed to talk to each other. The PLCs and SCADA systems on the floor speak in real-time signals measured in milliseconds. The ERP and business intelligence tools upstairs work in daily and weekly batches. Between them sits a gap that forces someone to manually export, reformat, and re-key data just to get a production number into a report that leadership actually reads. An IT/OT integration hub closes that gap permanently by giving every system, from PLC to ERP, one unified data layer to read from. See how this connects your existing systems at iFactory's integration hub page.
Your Floor Speaks Milliseconds. Your ERP Speaks Days. Something Has To Translate.
A unified IT/OT integration hub connecting PLCs, SCADA, historians, MES, and ERP into one live data layer — no more manual exports, no more stale reports.
Why the IT/OT Divide Still Exists in Most Plants
The divide is not a failure of planning — it is a natural result of two engineering disciplines evolving separately for decades. OT systems were built for determinism and uptime, with vendors like Rockwell, Siemens, and Schneider designing protocols optimized for control-loop reliability rather than enterprise connectivity. IT systems were built for scale, security, and reporting, with a completely different set of assumptions about how data should move. Neither side was wrong to prioritize what it did, but the result is a plant where the floor and the front office run on separate clocks.
The cost of that separation is not abstract. It shows up as a production report that is two days stale by the time it reaches a planning meeting, as a quality issue that is not visible in the MES until someone manually keys it in from a paper traveler, and as an ERP demand forecast that has no idea what is actually happening on the floor right now. A unified data layer does not replace either system — it gives both a common language to exchange information in real time.
What the Integration Hub Actually Does
At its core, the hub sits between the floor and the enterprise and performs three jobs continuously: it speaks every protocol your equipment already uses, it normalizes that data into a consistent model regardless of source, and it makes the result available to any system upstream that needs it — without anyone touching a spreadsheet in between.
Curious what a live data map of your current systems would look like? Book a walkthrough and we'll sketch it with you.
Every Protocol Your Floor Already Speaks
Plants rarely run one clean, uniform protocol across every machine — most floors are a mix of equipment purchased across fifteen or twenty years, each generation speaking whatever was standard at the time. Ripping that out and standardizing is neither realistic nor necessary. The hub is built to read from whatever is already installed, which is why integration timelines are measured in weeks rather than the multi-year re-platforming projects IT/OT convergence used to require.
| Protocol / Source | Typical Equipment | Connection Method |
|---|---|---|
| OPC UA | Modern PLCs, SCADA historians | Native client connection |
| MQTT / Sparkplug B | IIoT sensors, edge gateways | Broker subscription |
| Modbus TCP/RTU | Legacy PLCs, VFDs, meters | Polling gateway |
| EtherNet/IP | Rockwell/Allen-Bradley controllers | Native driver |
| Profinet | Siemens controllers and drives | Native driver |
| REST / SQL | MES, ERP, quality databases | API or direct query |
The Reference Architecture, ISA-95 Aligned
Most industrial data architects reference the ISA-95 model when designing how information should flow between the plant floor and the enterprise, and the hub is built to sit exactly where that model calls for a connecting layer — bridging level 2 control systems with level 3 manufacturing operations and level 4 business systems. Following that standard model rather than inventing a proprietary structure means the resulting data layer is compatible with the reporting and planning tools your team already understands.
What Changes Once the Data Actually Flows
The practical difference between a plant with and without a unified data layer shows up in how quickly a question gets answered. Before integration, "what was our actual yield on Line 2 yesterday" might require pulling a report from the historian, cross-referencing it against a manually keyed MES entry, and waiting for someone with database access to run a query. After integration, the same question is answered by a live dashboard that has already been updating all day.
Frequently Asked Questions
Bridge The Gap Between Your Floor And Your Front Office
Bring a list of the systems you currently run — PLCs, SCADA, MES, ERP. We'll map out what a unified data layer would look like for your specific plant.
