Data lineage is a crucial tool for ensuring data quality by providing insights into the origins, transformations, and consumption of data within an organization. Modern data lineage tools offer comprehensive visualizations, such as directed acyclic graphs, which allow businesses to track data flow down to the column level and understand downstream impacts of changes. This capability helps organizations address data quality issues, optimize operations, and make informed decisions, as demonstrated by companies like Spotify and Capital One, which use data lineage to enhance recommendations and lending decisions. The intrinsic link between data quality and lineage underscores the importance of building a data-driven organization on a foundation of reliable data. Implementing data lineage not only prevents potential disruptions, such as breaking changes in business intelligence dashboards, but also fosters a culture of transparency and trust in data, benefiting organizations of all sizes.