What is a key benefit of implementing data lineage in an enterprise?

• A. To accelerate model training without data quality checks
• B. To enrich the data inventory and determine data sensitivity and criticality
• C. To reduce data storage costs
• D. To eliminate the need for data governance

Answer: (B)

Data lineage provides visibility into where data originates, how it moves through systems, and how it’s transformed along the way. That clarity lets you build a richer data inventory by linking datasets to their sources, transformations, and downstream uses, so your data catalog doesn’t just list what exists but also shows how data is connected and why it matters. With this map, you can accurately determine data sensitivity (which data contains PII or regulated information) and data criticality (which datasets drive essential business processes and decisions). In short, lineage makes provenance and risk visible, enabling proper classification and governance.

Other options miss the main point: lineage isn’t primarily about speeding up model training without quality checks, nor is it a direct way to cut storage costs, and it doesn’t replace the need for data governance. It supports governance and quality in context, with enrichment of the inventory and risk assessment as the strongest, most direct benefit.