What does data lineage refer to in analytics?

• A. The History of Data Including Origin, Movements, Transformations, and Destinations.
• B. The data's current storage location only.
• C. The data ownership assignments.
• D. The data's encryption status.

Answer: (A)

Data lineage is the complete trail of data as it moves through analytics processes: where it originates, every system it passes through, the transformations applied, and where it ends up being stored or used. This full history is crucial for understanding data quality, tracing errors back to their source, assessing the impact of changes, and enabling reproducible analyses. It goes beyond simply knowing where data sits right now, and it’s not about who owns the data or whether it’s encrypted—that information describes governance or security, not the data’s path. By mapping the origin, movements, transformations, and destinations, you gain visibility into how data becomes the final analytics output.