Data-driven root cause analysis with advanced analytics and AI

In today's data-driven world, understanding and resolving problems efficiently is crucial for aerospace and defense organizations. Root cause analysis (RCA) is a systematic approach to identifying the underlying reasons behind issues and anomalies, helping organizations improve quality, optimize operations, ensure reliable production and mitigate risks. While many A&D companies already perform some form of RCA, it is often a reactive problem-solving process. From predicting failures to enabling stronger decision-making, data analytics and AI tools now allow aerospace and defense companies to move from reactive analysis to proactive problem-solving in their RCA approach.

This white paper explores key stages of RCA, discusses various analytical techniques, and highlights how data analytics and artificial intelligence (AI) software like RapidMiner® can drive more effective data-driven investigations.