Techniques for effective data governance implementation in analytics platforms

Authors

  • Lekshmi Pillai Independent Researcher Tripunithura, Kochi, India (IN) – 682301 Author

Keywords:

Data Governance, Analytics Platforms, Data Quality, Compliance, Simulation Research, Statistical Analysis, Organizational Change, Author Name, Scopus, Springer, Journal Name, Wissira, Journal Short Form, Wissira Press, Wissira Research Lab, Research Gate, SSRN, ISSN, Academia, UGC Care, PubMed, WOS

Abstract

Effective data governance is a critical requirement for modern analytics platforms as organizations increasingly rely on data-driven decisions. This manuscript explores a range of techniques and best practices for implementing data governance within analytics environments. We discuss the theoretical underpinnings, present a comprehensive literature review, and outline a practical methodology that integrates policy frameworks, technological solutions, and organizational change management. Statistical analyses and simulation research validate the proposed governance techniques, demonstrating improved data quality, compliance, and operational efficiency.  The study concludes with recommendations for practitioners and directions for future research, underlining the need for agile and scalable data governance frameworks. 

References

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Published

2025-10-02

How to Cite

Techniques for effective data governance implementation in analytics platforms . (2025). International Journal of Engineering Research in Robotic Intelligence, 2(4), Oct (1-7). https://ijerri.org/index.php/ijerri/article/view/39