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 tracking the origins of data, transformations it undergoes, and its ultimate destination within an organization. By implementing data lineage tracking, organizations can gain insights into data quality, compliance, and governance. It empowers teams to understand data dependencies, enhances trust in data-driven decisions, and facilitates impact analysis and root cause analysis. As data environments become increasingly complex, effective lineage tracking is essential for maintaining data integrity and operational efficiency.