International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Identifying and Handling Data Redundancy: Strategies for Better Data Quality and System Efficiency in Today's Data Environment

Author(s) Vijayalakshmi Duraisamy
Country United States
Abstract In today's data environment, characterized by rapid growth and diverse sources, data redundancy poses a significant barrier to effective data management. This common issue, defined by unnecessary duplication of data within an organization, takes a toll on data quality, consistency, and overall system performance. This paper examines the different forms and causes of data redundancy and offers a range of strategies for preventing and addressing it effectively. We will look at foundational preventative measures, such as careful database design and normalization principles, as well as reactive methods like data deduplication techniques and merge-purge operations. A key point throughout this discussion is the need for a complete approach, which combines modern technology solutions with strong data governance practices. Our primary goal is to assist organizations in reducing redundancy, enhancing data integrity, and significantly improving their operational efficiency. A conceptual flowchart visually represents the typical process of identifying and resolving data redundancy, providing a helpful guide.
Keywords Data Redundancy, Data Quality, Database Normalization, Data Deduplication, Data Governance, Data Integrity, System Efficiency, Data Management.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-19
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.64194
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E-ISSN 2582-2160
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