Quality Data Management (QDM) Best Practices for Preserving Data Integrity

Author(s)	Rameshbabu Lakshmanasamy
Country	USA
Abstract	Today in data-driven retail landscape, maintaining high-quality data is not optional but a mandatory practice that is the top priority. Data Integrity is crucial for making informed decisions, customer experience improvement, staying ahead of competition. This article outlines the best practices for quality data management in the IT organization, especially based on our real-time experiences from retail realm. Being given the responsibility of data quality of data marts and data warehouse, here am trying to capture the practices that we implemented and that helped us mitigate the risks and prevent any dangers of corrupt data. Let’s dive into and explore what helped us in our journey of preserving quality data.
Keywords	QDM, Data Integrity, Data Governance, Compliance, Risk mitigation, Automation, Best practices.
Published In	Volume 3, Issue 6, November-December 2021
Published On	2021-12-28
DOI	https://doi.org/10.36948/ijfmr.2021.v03i06.4372
Short DOI	https://doi.org/g82h7f

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International Journal For Multidisciplinary Research