Improving Master Data Governance Processes Within Supply Chain Management

The subject of this research is the improvement of master data governance within the supply chain of Company X, a pharmaceutical company. Effective master data governance is crucial for ensuring data quality, consistency, and accuracy, which are vital for decision-making and maintaining regulatory compliance. This research focuses on the processes of master data governance because Company X faces challenges with its master data management, including data inconsistencies, manual data entry processes, and inadequate utilization of their enterprise resource planning (ERP) system, SAP S/4HANA. These issues lead to operational inefficiencies and potential delays in the supply chain. The following research question is addressed in this thesis: ’’How can the master data governance processes be improved to enhance supply chain management efficiency?’’