Overcoming data gatekeeping in industrial manufacturing

In the industrial world, data is power. But too often, that power is locked away.

From OEMs who won’t share register maps to siloed SCADA systems, manufacturers face a persistent challenge: they can’t access their own operational data. The result is slow decision-making, stalled digital transformation, and missed opportunities for optimization.

At the IIoT World Manufacturing Day panel “The Connected Factory: Driving Real-Time Insights with OT Data and the Unified Namespace”, Arlen Nipper, co-inventor of MQTT and CTO of Cirrus Link, said it plainly:

“We had SCADA systems where engineers would say, ‘No, that’s my data. You can’t have it.’”

That’s the reality for many teams today, and it has to change.

What is data gatekeeping?

Data gatekeeping is the practice, intentional or not, of restricting access to operational data, either through vendor limitations, technological barriers, or internal silos.

It often looks like:

  • Vendor lock-in: Machines delivered without data access or transparency.
  • Siloed systems: OT data trapped in SCADA, MES, or DCS systems with no enterprise visibility.
  • Cultural resistance: IT and OT teams treating data like turf instead of a shared asset.

Gatekeeping isn’t just a technical issue, it’s a structural and cultural one. And if you don’t address it early, your digital initiatives will stall before they start.

Why it matters more than ever

Manufacturers are investing heavily in:

  • Predictive maintenance
  • Cloud analytics
  • Digital twins
  • Real-time KPIs and dashboards
  • AI and machine learning

But all of these rely on clean, accessible, contextualized OT data.

Unfortunately, many organizations follow this flawed approach:

Connect everything → Dump it into the cloud → Try to figure it out later

As Arlen warned in the IIoT World session, that leads to data swamps, large collections of raw signals that no one can use or trust.

To succeed, manufacturers must confront data gatekeeping head-on, starting at the source.

The role of machine builders and OEMs

One of the biggest culprits in data gatekeeping? Black-box machines.

Too often, OEMs deliver equipment that:

  • Comes with no documentation
  • Uses proprietary interfaces
  • Obscures critical internal tags or logic
  • Blocks integration with your broader architecture

“People are buying machines that nobody will tell them how they work. That’s got to change.”
 — Arlen Nipper

What you can do:

  • Demand open protocols (MQTT, Sparkplug B)
  • Require a browsable interface and clear register maps
  • Insist on vendor collaboration during UNS integration
  • Don’t buy a box of data, you’re buying a source of truth

Empowering non-technical teams

Even when data is available, it often remains unusable to the people who need it most.

Operational managers, quality teams, and business stakeholders can’t make decisions based on tag names like N5:40001. They need structured, human-readable information.

“Our job with the UNS is to define context at the source so a mere human can understand it.” — Arlen Nipper

Make data actionable:

  • Use Sparkplug or HighByte to model data at the edge
  • Organize your Unified Namespace to reflect real-world assets
  • Provide access via dashboards, low-code tools, or AI interfaces
  • Treat data as a product, not a byproduct

Conclusion: It’s time to democratize data

Overcoming data gatekeeping isn’t just about opening ports or enabling protocols, it’s about changing how we think about data.

  • Demand transparency from your vendors
  • Build architectures that break down silos
  • Empower teams across the business with structured, trusted data

“We can have these discussions all day long, but we do have to democratize data from everything we’re putting in our factories.”  — Arlen Nipper

Watch the full discussion

Learn more from Arlen and experts at Snowflake and HighByte in the full IIoT World Manufacturing Day panel — packed with insight on UNS, AI, and breaking down barriers to real-time OT data. Watch now.