Digital methods and disruptive manufacturing technologies for a future-proof corporate alignment and economic success: The industry is facing major changes with regard to digitalization and sustainability of its productions. One promising support in this development is artificial intelligence (AI). With AI, highly complex processes can be controlled and monitored. Data analyses provide the basis for increasing productivity and show intelligent objects in decentralized productions the next independent step. However, the road to meaningful and usable data is long. Every company has different data and, more importantly, different data structures. Data must reach the evaluation interface from machine, computer and paper in as high a quality as possible – e.g. correct column, same data type, same notation, etc. But how can this be realized? How should the data be handled?