Manufacturers have invested heavily in PLM modernization, 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, organizations 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.
