From BIG DATA to Smart Data to digital twin

Today, Industrial Internet of Things (IIoT) and Industry 4.0 have become buzzwords everyone is talking about. There is an enormous pressure to follow this technical hype. While looking for a use-ful and clever way to start, enterprises are faced with a vast market of data management solu-tions. However, the promoted data volume and its colorful visualization often lack convincing ben-efits. To provide relevant results to the user, the data delivered by connected components in an IIoT-capable system have to be analyzed and placed in the right context. To increase efficiency, the precise study question must be identified first. This reduces calculation times and leads more quickly to useful information.