Research Article

Data Governance, Master Data Management, and Modern Solutions for Enterprise Data Trust

Authors

  • Jyoti Maheshwari Independent Researcher, USA

Abstract

Preserving information reliability throughout corporate systems while satisfying oversight mandates creates significant difficulties for today's institutions. Inadequate management frameworks produce functional breakdowns, decision errors, and regulatory vulnerabilities. This insightful reflection on how coordinated governance systems paired with reference data administration techniques resolve these limitations through organizational design, executive support, and technical implementation. Successful implementations establish definitive information sources through designated accountability, formalized guidelines, and proportionate oversight mechanisms. Contemporary technologies, including graph-based data models, standardized system interfaces, and programmatic quality verification, enhance these practices by incorporating controls into operational processes. Entities adopting these methodologies exhibit enhanced analytical precision, functional effectiveness, and regulatory alignment. This coordinated strategy both safeguards critical enterprise information and facilitates innovation in increasingly data-dependent commercial environments.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (8)

Pages

786-792

Published

2025-08-11

How to Cite

Jyoti Maheshwari. (2025). Data Governance, Master Data Management, and Modern Solutions for Enterprise Data Trust. Journal of Computer Science and Technology Studies, 7(8), 786-792. https://doi.org/10.32996/jcsts.2025.7.8.92

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Keywords:

Data Governance, Master Data Management, Enterprise Data Trust, Data Stewardship, Regulatory Compliance