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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM36709
Volume:
8 |
7 |
Jul 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This research paper introduces the need for the robust framework of methodologies in Master Data Management. MDM stands as an important aspect across corporate organizations toward the achievement of consistency, accuracy, and governance within an organization. The above objectives, as a result, are satisfied as the proposed framework endeavors to assess key components of MDM. These are data governance, data quality management, data integration, and data modeling. The work further investigates the challenges associated with the implementation of MDM and also tries to identify best practices toward successful deployment. The paper therefore attempts to provide actionable insights into the optimization of MDM strategies for improved data-driven decision-making and operational efficiency through a systematic analysis. The conceptual framework will be validated by case studies and practical examples in a variety of organizational settings.
KEYWORDS
Publication Date
7/22/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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