In today’s data-driven world, the quality of data is paramount. Enterprises, especially those in the Fortune 500, face an ever-growing challenge: how to ensure their data is accurate, consistent, and reliable. Poor data quality can lead to misguided decisions, operational inefficiencies, and lost revenue. Fortunately, the rise of generative AI offers a powerful tool to address these challenges. By harnessing AI for data quality, organizations can revolutionize their data management...

Unlocking Data Governance: A Strategic Imperative for Performance 1. Introduction: The Hidden Shift in Governance Thinking Across industries, Data Governance (DG) has long been viewed as a regulatory safeguard—a means to ensure compliance and avoid penalties. However, as data increasingly becomes the core driver of business strategy, this perspective is rapidly evolving. My doctoral research on Indian private sector organizations reveals a compelling truth: Data Governance maturity is...

Beyond Compliance: Why Contingency  and Agency Theory  Are the Future of Data Governance By Tejasvi Addagada Why Are Most Data Governance  Initiatives Falling Short? You’ve invested significant capital, time, and talent into building a robust Data Governance (DG) framework. Yet, is it acting as a strategic driver of growth, or just another compliance bottleneck? For too many organizations, the answer is the latter. The root cause is simple: most DG models are generic. They fail because they...