Unraveling the Nexus: Enhancing Data Governance through Comprehensive Data Lineage

The research provides the intertwined realms of Data Lineage and Data Governance, two crucial facets of contemporary data management within organizations. Collectively, they ensure data quality, security, compliance, and transparency, all of which are essential for informed decision-making. Data Lineage, as the flow and transformation of data through pipelines, is explored in tandem with Data Governance, which provides the principles and frameworks for effective data management. Data lineage assures data accountability by showing who is responsible for various data sets and how data is managed across different processes and systems. The article elucidates the prerequisites for successful data governance, highlighting the pivotal role played by executive support, clear business objectives, comprehensive data inventories, and robust security measures. The research further discusses how Data Lineage aligns with the fundamental principles of Data Governance, including data transparency, accountability, quality assurance, security, and regulatory compliance. By tracing the origin and evolution of data, Data Lineage ensures that data is trustworthy and can be relied upon for informed decision-making. The research suggests that data lineage complements the applicability of data governance. The objectives required from data lineage must align with the data governance principles developed by individuals.