White Paper

Trust in Data: Strategies to manage data quality, integrity, and transparency

Trust in Data: Strategies to manage data quality, integrity, and transparency

Pages 14 Pages

Palantir’s Trust in Data framework addresses the challenges of ensuring data quality, integrity, and transparency across the lifecycle. Poor or inconsistent data undermines decision-making, so Foundry equips engineers and users with tools for data lineage tracking, automated health checks, anomaly detection, and ad hoc analysis. Features include metadata visibility, source tracking, issue tagging, and visual lineage to trace origins and transformations. By pairing rigorous validation with full transparency, organizations can build trust internally and publicly, enabling informed, accountable, and high-impact decisions.

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