In industrial production, short-notice orders and uncertain revenue projections have become the new normal, and conventional production structures can
no longer keep up. The central challenge in the much discussed concept of Industry 4.0 is providing individual, customer-tailored solutions. As manufacturing slowly transitions towards Industry 4.0, the increased use of sensors and actuators in production infrastructure requires that more and more data be collected and processed. Studies agree that such data collection and analysis form the backbone of Industry 4.0 – but currently only 1 % of data collected during manufacturing is used. These data could, for example, be utilized for precise, software-assisted predictions of necessary maintenance intervals, leading to better machine use which could improve productivity by up to 30 %.