Winning the battle against root causes requires a multifaceted approach that combines traditional methods with cutting-edge data analytics. By leveraging data-driven techniques, organizations can identify and address underlying issues that may have been overlooked through manual analysis alone. However, it is crucial to prioritize data quality and reliability, as inaccurate or incomplete data can lead to misinformed conclusions. Moreover, a balanced approach must be adopted, where domain-specific expertise is integrated with data analytics to avoid misunderstandings of complex systems. Effective implementation of root cause analysis demands a proactive, adaptive, and data-centric strategy.