Data lineage tracking refers to the process of monitoring and visualizing the flow of data as it moves through various stages of a data pipeline. This includes capturing the origins of data, transformations it undergoes, and its ultimate destination within an organization. By implementing data lineage tracking, organizations can enhance data governance, ensure compliance with regulations, and improve data quality. It empowers teams to understand data dependencies, facilitates impact analysis, and supports informed decision-making. As data environments become increasingly complex, effective lineage tracking is essential for maintaining trust and reliability in data-driven processes.