International Journal For Multidisciplinary Research

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

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Impact of Subpar Master Data Quality on Business Operations and Decision-Making

Author(s) Arun Chinnannan Balasubramanian
Country USA
Abstract In the digital age, data is a critical asset that drives business operations, strategy, and innovation. Master Data—core business data shared across the organization—forms the backbone of any data-driven decision-making process. However, subpar Master Data Quality (MDQ) can disrupt business processes, undermine decision-making capabilities, and lead to significant financial and reputational risks. This paper explores the impact of subpar MDQ on business processes and decision-making, providing a comprehensive analysis of common data quality issues explaining through the scenarios that happens in an organization that operates with 3PL on its logistics, their consequences, and recommendations to enhance data governance and quality.
Keywords Master data quality, Business partner, master data duplicates, Redundancy, Bank duplicates, supplier duplicates, Hazardous materials, sensitivity, inconsistency, inaccuracy, incompleteness, redundancy, replication issue, upstream, downstream, MDQ issues, sub-par master data, planning data missing, data missing, MDG, MDM, supply chain common issues, data stewards, stewards training, Financial loss due to master data, cost center, profit center replications, customer experience issue due to master data, delays due to master data.
Published In Volume 4, Issue 5, September-October 2022
Published On 2022-10-19
Cite This Impact of Subpar Master Data Quality on Business Operations and Decision-Making - Arun Chinnannan Balasubramanian - IJFMR Volume 4, Issue 5, September-October 2022. DOI 10.36948/ijfmr.2022.v04i05.10881
DOI https://doi.org/10.36948/ijfmr.2022.v04i05.10881
Short DOI https://doi.org/g8q253
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