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Intro
Data lineage underpins trust in AI outputs.
1. What is it?
It describes the origin, movement and transformation of data.
2. What problem does it claim to solve?
It enables traceability and auditability.
3. Where does it typically appear in organisations?
Reporting, ERP integrations and AI pipelines.
4. What can go wrong if it is misunderstood or misused?
Outputs may be untraceable or unverifiable.
5. Who is accountable, and what oversight is required?
Management must ensure lineage; auditors and boards rely on it.