Data lineage tracks data origin, movement, and transformations. Why is it important for data governance?

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Multiple Choice

Data lineage tracks data origin, movement, and transformations. Why is it important for data governance?

Explanation:
Data lineage provides end-to-end visibility of where data originates, how it moves between systems, and how it’s transformed along the way. That visibility is essential for data governance because it supports impact analysis: when a source or transformation changes, you can see exactly which reports, dashboards, and downstream processes are affected, enabling proper risk assessment and change planning. It also underpins regulatory compliance by supplying auditable provenance and traceability of data handling, which many regulations require for data processing and reporting. Additionally, lineage helps maintain data quality by revealing where data quality issues arise in the pipeline and by enabling consistent monitoring and remediation across transformations. Because it enhances impact analysis, compliance, and quality, data lineage is a comprehensive governance capability.

Data lineage provides end-to-end visibility of where data originates, how it moves between systems, and how it’s transformed along the way. That visibility is essential for data governance because it supports impact analysis: when a source or transformation changes, you can see exactly which reports, dashboards, and downstream processes are affected, enabling proper risk assessment and change planning. It also underpins regulatory compliance by supplying auditable provenance and traceability of data handling, which many regulations require for data processing and reporting. Additionally, lineage helps maintain data quality by revealing where data quality issues arise in the pipeline and by enabling consistent monitoring and remediation across transformations. Because it enhances impact analysis, compliance, and quality, data lineage is a comprehensive governance capability.

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