This whitepaper explores how data lineage enables end-to-end visibility into data movement, supporting governance, compliance, and AI readiness. It highlights lineage as a strategic capability that tracks data from origin to consumption, enabling transparency, auditability, and risk detection, as described in the executive summary on page 2. The paper outlines best practices such as building metadata-driven architectures, automating lineage tracking, and integrating lineage into governance workflows. By leveraging lineage, organizations can improve data quality, enforce access controls, ensure regulatory compliance, and confidently manage AI pipelines using trusted and well-governed data.

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