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Industrial Data Maturity Model

Read this white paper published by Amazon Web Services (AWS) and HighByte to assess the current stage of your organization’s digital maturity. Learn how to advance your industrial data management initiatives.

Download the White Paper

SEPTEMBER 2026

A Maturity Model for Industrial Data Management

Manufacturers are under growing pressure to adopt advanced analytics, AI, and autonomous systems—but many initiatives stall because the underlying industrial data isn’t ready. Fragmented data sources, inconsistent context, and lack of governance prevent organizations from turning data into outcomes.

The Maturity Model for Industrial Data Management, developed by AWS in collaboration with HighByte, provides a structured, three-stage framework to assess your current data capabilities and build a scalable, AI-ready foundation for your operations.

Download this white paper to understand:

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How the Industrial Data Management Maturity Model defines stages of maturity across use cases, deployed technology, role-based processes, and data governance.
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Why Industrial DataOps is required to support advanced analytics, generative AI, and agentic AI use cases.
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How the AWS Industrial Data Fabric supported by partner solutions like HighByte Intelligence Hub enables secure, scalable industrial data integration across edge and cloud environments.
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How to assess data readiness, identify capability gaps, and prioritize investments using a structured, maturity-based approach.

The Three Stages of Industrial Data Maturity

Stage 1: Foundation.

Foundation

Establish data awareness and connectivity by moving from manual processes to reliable, digitally supported data collection and operations.
Stage 2: Intelligence.

Intelligence

Use data-driven insights and advanced analytics to enable visibility, prediction, and optimization across the enterprise. 

Stage 3: Transformation.

Transformation

Leverage integrated data and advanced technologies to enable continuous innovation and competitive advantage.