Volume 15, Number 2
AI-Powered Data Management and Governance in Retail
Authors
Anant Agarwal, Manager Master Data Management (MDM) & Data Governance, USA
Abstract
Artificial intelligence (AI) is transforming the retail industry’s approach to data management and decisionmaking. This journal explores how AI-powered techniques enhance data governance in retail, ensuring data quality, security, and compliance in an era of big data and real-time analytics. We review the current landscape of AI adoption in retail, underscoring the need for robust data governance frameworks to handle the influx of data and support AI initiatives. Drawing on literature and industry examples, we examine established data governance frameworks and how AI technologies (such as machine learning and automation) are augmenting traditional data management practices. Key applications are identified, including AI-driven data quality improvement, automated metadata management, and intelligent data lineage tracking, illustrating how these innovations streamline operations and maintain data integrity. Ethical considerationsincluding customer privacy, bias mitigation, transparency, and regulatory compliance are discussed to address the challenges of deploying AI in data governance responsibly.
Keywords
Artificial Intelligence, Data Governance, Retail, Data Management, Data Quality, Ethical AI