This white paper focuses on the strategic value of data lineage in modern data-driven organizations. It explains how understanding data origins, transformations, and dependencies enables better decision-making, improved trust, and regulatory compliance. The paper outlines business use cases for lineage, including impact analysis, root-cause analysis, audit readiness, and change management. It emphasizes that end-to-end lineage, combining technical and business context, helps organizations reduce risk, improve data quality, and accelerate analytics and AI initiatives by ensuring stakeholders understand how data flows across systems and processes.

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