iFIX (GE Vernova) connector

Use your iFIX data for reporting, automation and AI.

Data Panda brings your iFIX tag, alarm and historian data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.

Data Panda Reporting Automation AI Apps
iFIX (GE Vernova) logo
About iFIX (GE Vernova)

The HMI/SCADA platform that started life as Intellution FIX.

iFIX is an industrial HMI/SCADA platform first built as FIX by Intellution, a Massachusetts vendor founded in 1981 by Steve Rubin. FIX 1.0 shipped in 1983 as one of the first PC-based HMI/SCADA products. The line evolved through FIX DMACS, FIX Hawaii and the 32-bit FIX32, then was re-released as iFIX once Windows NT was fully 32-bit. Intellution moved to GE in the early 2000s, became part of the Proficy family under GE Fanuc and later GE Digital, and now sits inside GE Vernova, the energy spin-off GE listed as a separate company on the NYSE on 2 April 2024.

What iFIX manages is a tag database of process variables read from PLCs, drives and field devices, with a Scan Alarm and Control engine on top, alarm and event handling, recipe management, a process database for distributed SCADA and tight pairing with Proficy Historian for time-series capture. It runs in water and wastewater, food and beverage, pharma, power generation, oil and gas, chemical and discrete manufacturing. The point of pulling iFIX out of the control room is not that the operator screens are bad. It is that tag history, alarm streams and batch records sit in OT formats the rest of your business never sees. Margin per batch, OEE that matches finished-goods yield, alarm fatigue versus actual incident rate, the lot trace from raw material through ship, all live across iFIX, the historian, the LIMS and the ERP. In a warehouse the OT and IT data finally read on the same timeline.

What your iFIX (GE Vernova) data is for

What you get once iFIX (GE Vernova) is connected.

Plant-and-business reporting

Tag history, alarms and batch records next to the ERP and quality data, not five operator screens stitched together by hand.

  • OEE per line, shift and product, against finished-goods yield in the ERP
  • Alarm rate per area and operator, with nuisance alarms separated from real incidents
  • Batch genealogy from raw-material lot through process step to shipped pallet

OT-to-IT automation

Move signal from the iFIX tag database into the ERP, MES and quality system without bolting another point-to-point on the control network.

  • Production counts and downtime reasons posted to the work order in the ERP
  • Recipe parameters from iFIX into the MES batch record on every run
  • Critical alarms routed to the maintenance tool with the right asset and area code

AI workflows

Use historian time-series and alarm streams to predict failures, score recipes and find the deviation that mattered.

  • Failure prediction on motor, pump and valve tags with maintenance history alongside
  • Recipe scoring against quality and yield results from the LIMS
  • Anomaly detection on alarm flood patterns to surface the root signal in seconds

Custom apps on your data

Small tools on iFIX data for people who do not need an HMI station to do their job.

  • Plant manager dashboard with OEE, downtime and yield in one screen
  • Quality lead app that ties out-of-spec tags to the batch and the customer order
  • Energy view per line and product, joining iFIX tags with utility meter data
Use cases

Use cases we deliver with iFIX (GE Vernova) data.

A list of concrete reports, automations and AI features we have built on iFIX (GE Vernova) data. Pick the one that matches your situation.

OEE vs ERP yieldPlant OEE on iFIX next to finished-goods yield in the ERP, on one timeline.
Downtime by reasonStop reasons rolled up per line, shift and product family.
Alarm rate per areaAlarms per hour per zone, with chattering and stale alarms separated.
Nuisance vs realOperator-acknowledged alarms against alarms that drove an actual response.
Batch genealogyForward and backward trace from raw lot through process to shipped pallet.
Recipe vs yieldRecipe parameter set per batch against quality result and finished yield.
Energy per unitUtility meter consumption joined to product output per line.
Asset health trendVibration, current and temperature tags trended against work-order history.
Deviation per shiftOut-of-spec tag minutes per shift, area and product.
Cost per batchMaterial, labour and energy cost layered on the batch record.
Real business questions

Answers you will finally get.

Why does the OEE on the iFIX dashboard not match finished-goods yield in the ERP?

Plant OEE is built from iFIX tags counting good parts and runtime, while finished-goods yield in the ERP is built from posted production receipts after QA release. We pull both into the warehouse so the gap shows up by line, shift and product, with the in-process scrap, the QA holds and the rework loops named, instead of arguing across two screens.

How many of last quarter's critical alarms drove a real operator response?

Alarm history from iFIX joined to operator acknowledgement, the work order opened in maintenance and the downtime logged for the same minute. The board sees the share of alarms that turned into real action against the share that the team has trained itself to ignore, which is the data that drives a real alarm rationalisation pass.

If a customer reports a defect, which batches and raw lots are in scope?

Forward and backward genealogy from the iFIX batch record and the historian time-series back through the raw-material lot, and forward to every shipped pallet that came out of the same process window. The recall scope is the actual list of customers, not a wider conservative pull because the trace stopped at a missing entry.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Plant-floor cost lands in the same view as the GL: material, labour and energy per batch, OEE versus standard, scrap charged where it happened. Standard cost variance gets a real driver instead of a single line at month-end.

For sales leaders

Promised dates that account for what the line really runs, not the planning ideal. Stock and lead time at quote stop being a guess once the iFIX downtime and yield trend land in the same view as the order book.

For operations

OEE, downtime, alarm rate and recipe parameters on one screen, joined to ERP yield and LIMS quality. Production, planning and quality argue from the same dashboard, and an alarm rationalisation pass is a query, not a six-month project.

Ideas

What you can automate with iFIX (GE Vernova).

Pair with SYSPRO

Bridge iFIX shop-floor signal into SYSPRO work orders

Production counts, scrap and downtime reasons captured in iFIX post against the SYSPRO work order in real time, with material issues and labour bookings reconciled against what the line really ran. Plant managers and the controller see the same OEE versus BOM-cost picture, instead of arguing across an operator screen and a SYSPRO variance report a week later.

Pair with MS Dynamics 365 Finance and Operations (AX)

Reconcile iFIX OEE against Dynamics 365 F&O production yield

Plant OEE, downtime and recipe parameters from iFIX land in the same warehouse as F&O production orders, item costs and finished-goods receipts. Group operations sees yield gaps per line and product across legal entities, with the in-process scrap and the QA holds named, so the multi-site close reconciles to one number instead of fourteen.

Pair with MS Dynamics 365 Business Central

Connect iFIX line counts to Business Central production orders

For smaller manufacturers running Business Central as the ERP, iFIX feeds production output, downtime reasons and per-batch energy use into the BC production order. The plant manager and the bookkeeper see the same per-batch margin, instead of a finished-good consumption journal that always shows up off by a few percent.

Pair with Exact Online

Land iFIX batch cost in the Exact Online ledger

For Belgian and Dutch manufacturers running Exact Online as the local ledger, iFIX batch records and energy consumption flow into Exact as cost-per-batch postings against the right cost centre and project. The plant cost the controller sees in Exact reconciles to what the line really did, instead of a flat overhead absorption that nobody on the floor recognises.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your iFIX (GE Vernova) data lives.

Power BI logo
Power BI Microsoft
Microsoft Fabric logo
Fabric Microsoft
Snowflake logo
Snowflake Data warehouse
Google BigQuery logo
BigQuery Google
Tableau logo
Tableau Visualisation
Microsoft Excel logo
Excel Sheets & pivots
Three steps

From iFIX (GE Vernova) to answers in three steps.

01

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

02

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

03

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

  • iFIX (GE Vernova) connector configured and running
  • Warehouse set up in your cloud account
  • Clean access for your Power BI, Fabric or Tableau team
  • Documentation on what's in the data model
  • Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

  • Everything in Self-serve
  • Dashboards built to the questions your team actually asks
  • Automations between your systems
  • AI workflows scoped to real tasks your team runs
  • Custom apps where a dashboard does not cut it
  • Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

Do you read iFIX tags directly, or only through Proficy Historian?

Both, depending on what is available. iFIX has its own process database for live tag values and a tight pairing with Proficy Historian for time-series capture. Where Historian is in place we read the historian extract for high-resolution trend data; where it is not, we collect the iFIX tag, alarm and event tables directly. The warehouse model is the same either way, so reports keep working when Historian is added later.

Our iFIX runs on an isolated OT network. How does that work?

iFIX deployments usually sit on a controlled OT segment behind a DMZ, separated from the IT network on purpose. We deploy the collector inside the OT zone or inside the DMZ depending on the site's reference architecture, push to the warehouse one-way, and never open inbound paths to the control system. Plant IT and OT review the integration before go-live.

GDPR-compliant
Data stays in the EU
You own the warehouse

A first deliverable live in four to six weeks.

We review your iFIX (GE Vernova) setup and the systems around it. Together we pick the first thing worth building.