Challenges of data management in industry 4.0: A single case study of the material retrieval process

The trend towards industry 4.0 amplifies existing data management challenges and requires suitable data governance and data quality measures. Although these topics have been previously discussed in literature, companies are still struggling to cope with the resulting challenges and fully exploit the benefits of industry 4.0. In this paper, we conducted a single case study in an automotive company. We exemplary used the material retrieval process in automotive manufacturing to uncover what challenges there are hindering the utilization of industry 4.0. We were able to identify six major challenges in the domains of data quality and data governance.