Data lineage tracking is crucial for modern businesses as it provides valuable insights into the entire journey of their data, enabling them to track where data comes from, how it has been transformed, and all the locations where it has been stored. By creating a visualization of this process, businesses can identify errors, improve data quality, ensure compliance with regulations, improve scalability, and gain better insights for making informed business decisions. Various techniques such as pattern-based lineage, self-contained lineage, lineage by data tagging, and lineage by parsing are used to track data lineage on strategic datasets. Data lineage tools like CData Virtuality can provide visibility into the impact of specific business changes, assess the impact of data errors, support data governance processes, help create visual representations of data elements and their linkages, assist with data migration, and centralize data lineage management. By implementing these techniques and tools, businesses can unlock the full potential of their data and drive growth and innovation.