Understanding the importance of data lineage and its dependencies is crucial for diagnosing issues and preventing future incidents. Insights into how upstream and downstream factors affect data integrity reveal the complexities behind seemingly simple metrics like customer churn. By examining the relationships and decisions that shape data, teams can better address root causes and enhance their data management practices.
