Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management

Digital twin technology is becoming important for the realization of Industry 4.0 using cyber-physical systems (CPS) and information technology. CPS form the backbone to support the creation of a network for decentralized and autonomous decision-making. The design principles for Industry 4.0 serve as guidelines for virtualization concepts that are virtual copies of the physical world and create a link between the real and virtual worlds to collect data and monitor processes, the so-called digital twin. In this book, a theoretical digital twin-driven decision-making model has been developed that combines corporate data quality management, a process digital twin, and a model-driven decision support system. It leverages the benefits of the digital twin to create, test and build a process in the virtual world that supports decision making by combining data, analytics and visualization of insights to help managers make better decisions

Introduction.- Literature Review.-  Objectives.- Materials And Methods Of Dissertation.-  Results And Evaluation .- Conclusions And Recommendations.- New Scientific Results.

Dr. Florian Blaschke leitet das Team „Controlling – BI Consulting Data Quality Management” von Lidl. Aktuell beschäftigt sich das Team mit der Sicherung und Verbesserung der Datenqualität, dem Aufbau eines Data Quality Monitorings für die Reporting-Systeme sowie der Einrichtung von transparenten Data Catalogs im Controlling Bereich.