Assessing the Effectiveness of Metadata Management Systems in Enhancing Data Governance: A Primary Study of IT and Data-Driven Organizations
DOI:
https://doi.org/10.5281/zenodo.16792143Keywords:
metadata management systems, data governance, data quality, information architecture, IT organizations, data-driven enterprises, data lineage, compliance, data stewardship, digital transformationAbstract
In the era of digital transformation, data has become a critical asset for organizations, necessitating robust data governance frameworks. Metadata management systems (MMS) have emerged as essential tools for ensuring data quality, traceability, compliance, and overall governance. This study investigates the effectiveness of metadata management systems in enhancing data governance practices within IT and data-driven organizations. Through a combination of qualitative interviews and quantitative surveys conducted across multiple industries, the research identifies key functionalities, adoption challenges, and measurable impacts of MMS on data governance maturity. Findings indicate that organizations utilizing advanced MMS experience improved data lineage tracking, policy enforcement, and stakeholder collaboration. However, integration complexity and lack of skilled personnel remain barriers to full implementation. This paper contributes to the understanding of MMS as a strategic enabler for data governance and offers recommendations for organizations aiming to optimize their metadata practices.
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References
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Copyright (c) 2025 Vrushali Yadavrao Ahire
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Research Articles in 'Management Journal for Advanced Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
