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DATA PRODUCTS

Turn industrial data
into trusted, reusable
products

Create governed industrial information that teams, applications, analytics,
and AI can use repeatedly, without rebuilding the same data preparation every time.

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Stop rebuilding the same data over and over

A reliability team needs equipment data. Operations needs many of the same measurements.
Engineering needs them too. Then analytics and AI need them again. Traditional approaches create another pipeline, query, spreadsheet, or integration for every new requirement.
That creates duplicated work—and different versions of the truth.
DeepIQ turns those repeatable requirements into governed Data Products your organization can reuse.

How Data Products works

 

1
Connect the sources
Bring together data from historians, databases, enterprise systems, engineering applications, files, cloud platforms, and other sources.
2
Prepare the Data
Clean, transform, calculate, reconcile, validate, and enrich information using visual workflows.
3
Publish a Trusted Product
Deliver standardized data to applications, dashboards, analytics platforms, reporting systems, or AI..
4
Reuse It

Instead of rebuilding the logic for the next project, use the same governed Data Product again.

What can you build?

connect
Equipment Performance
Data Products

Combine operating measurements, asset information, maintenance history, and calculated KPIs.
data flows
Production
Data Products
Standardize production information across wells, facilities, units, or sites.
Reliability
Data Products

Prepare condition, alarm, maintenance, inspection, and operating information for reliability analysis.
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Engineering Data Products

Combine engineering calculations, equipment data, design information, and operational measurements.
DATA PRODUCTS

What is an Industrial
Data Product?

Think of it as a trusted package of information built for a specific purpose.

Instead of handing someone raw data from multiple systems, a Data Product can include:

  • Connected source data
  • Cleansing and transformation
  • Business rules
  • Engineering calculations
  • Data-quality checks
  • Governance
  • Metadata
  • Scheduling
  • APIs
  • Delivery logic

The result is information that is ready to use.

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DATA PRODUCTS

Build without
starting from code

DeepIQ's visual workflow environment lets engineering and data teams create industrial data processes using reusable components and drag-and-drop workflows.
Use visual tools when they make sense.
Use code when you need it.
The goal is to let domain experts participate directly instead of turning every data request into an IT development project.

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“DeepIQ DataStudio has enabled real-time integration between our IT and OT systems, cutting our time to insights from days to minutes. It is a key enabler for how we operate and make decisions.”
Cole NortonSenior VP of IT, Grapevine Energy Holdings

Frequently asked questions

What is a DeepIQ Data Product? A DeepIQ Data Product is a trusted, reusable set of industrial information built for a specific purpose. It brings together data from multiple sources with the transformations, business rules, quality checks, and context needed to make that information ready for operations, analytics, applications, and AI.
How are Data Products different from traditional data pipelines? Traditional pipelines move and transform data, but teams often need to rebuild the same logic for each new use case. DeepIQ Data Products package prepared information into reusable outputs that can be shared across teams and applications, reducing duplicate work and improving consistency.
What types of Data Products can we create?

Organizations can create Data Products for equipment performance, production monitoring, reliability, engineering calculations, asset information, and AI-ready operational data. Each can combine information from different systems to address a specific business or operational need.
How do Data Products work with DeepIQ DataStudio? DataStudio is where teams build and automate the workflows that connect, clean, transform, and validate industrial data. Data Products are the trusted, reusable outputs of those workflows, making prepared information available for use across the organization.
Can Data Products support our existing analytics and AI applications?

Yes.

Data Products are designed to make trusted industrial information available to downstream applications, analytics, and AI workflows. By preparing and governing data once, teams can use a more consistent foundation across multiple use cases instead of starting from raw data each time.
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From connected data to reusable industrial intelligence.

See Data Products in action