International Journal of Science, Engineering and TechnologyAuthors: Nagender Yamsani
Abstract: Master data management has evolved from a supporting information technology function into a foundational enterprise capability required to sustain consistency, trust, and operational alignment across complex organizational domains. This study examines the structural and governance challenges faced by large global enterprises in managing master data that spans multiple business functions, regulatory environments, and operational systems. The research addresses the problem of fragmented data ownership, inconsistent control mechanisms, and limited cross domain accountability that undermine enterprise decision making and compliance objectives. Using a qualitative, design oriented methodology, the study synthesizes architectural patterns, governance operating models, and stewardship practices observed across large scale enterprise environments. The analysis highlights how centralized and federated master data models can be combined to support domain specific needs while maintaining enterprise wide standards. Key findings demonstrate that effective master data capability depends less on tooling choices and more on clearly defined decision rights, stewardship accountability, and integrated governance workflows. The study contributes a structured framework for positioning master data management as an institutional capability embedded within enterprise operating models rather than a standalone system initiative. The implications extend to enterprise architects, data governance leaders, and senior executives seeking to improve data reliability, regulatory readiness, and cross domain coordination. The study concludes that treating master data as a foundational enterprise capability enables sustained operational resilience, improved data quality outcomes, and stronger alignment between business strategy and information assets.
