Whatever digital technologies you want to harness, data is foundational.
And not just a small sampling or a few isolated inputs. Early digital attempts have shown that piecemeal, one-off projects built on limited datasets don’t scale to deliver transformative value.
Thanks to IIoT shop-floor sensors, historians, MES, and other systems, most manufacturers have an abundance of production-related data on hand.
What they don’t have is an engine that can orchestrate and integrate it into something useful — that is, ingest, transform, and combine diverse information flows into a detailed digital representation (digital twin) of everything that happens in production.
Only then can you apply techniques like AI, advanced analytics, and machine learning to yield transformative insights.
If you have a unified data platform you can do most anything with digital. If you don’t, you can’t do very much at all.