For decades, data-driven decisions have become the core of quality improvements. A new paradigm has been introduced for digitalization of quality management with “Quality 4.0”. Automatic data and information exchange are the essential steps of Quality 4.0 paradigm to achieve automation of the manufacturing systems. The goal of this paper is to design and manage the database of the automated system as the first stage of data preparation for quality management. For this stage, we use the Entity Relationship (ER) modeling technique to develop conceptual and logical models. This technique is used in a real case study to organize and manage the database of inspection and repair processes in the aerospace manufacturing. The real merit of the developed models is to create a well-structured database that describes the system’s data flow with high data quality.