Data backtracking is a method for tracing data lineage to identify origins and changes over time. It is used to audit errors, verify compliance, and improve model accuracy by reversing data transformations. Analysts, data engineers, and auditors benefit from enhanced transparency, error correction, and trust in decision-making processes.
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