Data Globalization

Companies face challenges with fragmented storage systems and inconsistent data formats from different measurement technologies and manual processes. Localized knowledge gaps and decentralized data management create traceability issues and regulatory compliance challenges, compromising the effective use of quality data for efficiency. Furthermore, the lack of timely alerts for quality issues and reliable early warning mechanisms highlights the necessity for cohesive data management strategies.

The data flood is still rising

Even more data overload arises from the ongoing trend of digitization: Manufacturers are increasingly virtualizing more steps in quality assurance to save time, reduce costs, and lower CO2 emissions. For example, they use digital twins to simulate mounting processes and to replace expensive physical inspection methods such as master jigs. But where is all this data stored? Can it be consolidated? And how can you quickly find answers when each report is 50–100 pages long?

Solution: Implement a global data pool

To trace the product and the associated measurement data along the whole production process, companies need a holistic system for relevant quality data collected on sites worldwide, with pre-programmed evaluations revealing current pain-points at first sight. Such an implementation requires a sophisticated data concept. That sounds like an incredible amount of effort – but with the right software solution, it is perfectly feasible.