Authors: Nagender Yamsani
Abstract: Enterprise master data systems play a foundational role in enabling consistency, accountability, and trust across complex organizational information landscapes. As data domains expand and regulatory scrutiny intensifies, governance mechanisms embedded within these platforms must move beyond policy articulation toward operationally enforceable structures. This study argues that governance effectiveness in enterprise master data management is determined not solely by control frameworks, but by the intentional design of role delegation and approval structures that align stewardship responsibility with security enforcement. Drawing on governance practices observed across large-scale institutional environments, this paper examines how role-based authorization, structured approval chains, and separation of duties can be systematically embedded into master data workflows to balance control rigor with operational agility. The analysis emphasizes stewardship hierarchies, approver accountability, and audit-oriented process design as central mechanisms through which governance intent is translated into executable system behavior. Empirical patterns suggest that organizations achieving higher governance maturity treat role delegation as a design-time architectural decision rather than a post-implementation administrative activity. By conceptualizing governance as an intrinsic property of system design, this research contributes a structured perspective on embedding security, accountability, and transparency directly into enterprise master data platforms. The findings offer both theoretical and practical insights for architects, data governance leaders, and compliance stakeholders seeking to strengthen trust, reduce risk exposure, and sustain scalable master data operations without compromising organizational efficiency.
DOI: https://doi.org/10.5281/zenodo.18296977
International Journal of Science, Engineering and Technology