Why Engineering Data Breaks, and How Leading Manufacturers Are Fixing It

Seven places where data interoperability breaks and how engineering data management supports digital transformation in manufacturing.

Manufacturers have invested heavily in PLM modernisation, digital twins, simulation, automation and model-based engineering. Yet one challenge continues to undermine these initiatives: engineering data still struggles to move reliably across the systems, teams and suppliers that depend on it.

As engineering ecosystems become increasingly complex, organisations must preserve engineering intent, geometry and metadata as information moves throughout the product lifecycle. When data continuity breaks down, the result is rework, delays, duplicated effort and reduced value from digital transformation investments. 

What You'll Learn

This paper explores:

• The hidden cost of engineering data fragmentation across modern manufacturing environments.
• Seven common points where data interoperability breaks down, from CAD exchange to PLM migration and supplier collaboration.
• How manufacturers are improving engineering data continuity across the digital thread.
• Why trusted engineering data is becoming essential for AI-driven engineering, industrial automation and autonomous manufacturing.
• Practical principles for building more resilient engineering data management strategies.