The study is about exploring the possibility of a strategic merger of Master Data Management (MDM) and Enterprise Resource Planning (ERP) systems into a well-organised data governance structure to deal with ongoing problems of data fragmentation, redundancy and inconsistency as Companies integrate numerous modules. MDM addresses the problem of conflicting information by implementing a single, authoritative source of truth in some of the most important areas such as customer, product, supplier and location data. ERP and MDM interactions are made possible through data management policies, data stewards and compliance measures that achieve accuracy, regulatory and real-time data reliability. This research is multi-method qualitative research that used systematic literature review, enterprise-wide surveys, and in-depth interviews with senior data leaders in a variety of industries. The focus is put on multi-domain MDM, Data Quality as a Service (DQaaS), and real-time synchronization as the capabilities allowing the businesses to react promptly to the environment changes. The results indicate that ERP-MDM integration under the leadership of governance brings quantifiable values, such as efficiency of operations and decision-making as well as readiness to regulatory comply. According to a case study of one of the largest manufacturing businesses in the world, it was shown that modular MDM-ERP integration that involves the use of AI to drive data stewardship led to an accuracy in data improvement of 45 percent and substantially reduced the time of supplier onboarding. Among the future trends, there are AI-supported proactive quality governance, edge-centric governance of an IoT data stream and composable data architecture of scale-friendly adaptability. Its findings offer Enterprise architects and data governance executives a blueprint that is both technical and strategic offering modernization of digital practice, scaling up of master data capacities and an embedding of intelligence in core business processes through master-governed ERP-MDM synergy.
Chandra Bonthu (Sat,) studied this question.