Christopher Schnur, Tanja Dorst, Kapil Sajjan Deshmukh, Sarah Zimmer, Philipp Litzenburger, Tizian Schneider, Lennard Margies, Rainer Müller, Andreas Schütze

A high-quality database must be given to fully use the potential of artificial intelligence (AI). Especially in small and medium-sized companies with little experience with AI, the underlying database quality is often insufficient. This results in an increased manual effort to process the data before using AI. In this contribution, the authors developed a concept to enable inexperienced users to perform a first data analysis and record data with high quality. The concept comprises three modules: accessibility of (meta)data and knowledge, measurement and data planning, and data analysis. The concept was implemented as a front-end demonstrator on the example of an assembly station.