Root cause analysis (RCA) is the detective work of process improvement—the methodical search for the hidden reasons behind a problem. Traditionally, tools like fishbone diagrams or process flow maps have helped us piece together the "why" behind issues. These tools are certainly useful but can fall short when dealing with today’s data challenges.
With organizations generating vast amounts of data, uncovering answers is harder than ever—complicated by noise, multicollinearity, and intricate interactions between factors —this is where machine learning excels.
Discover how integrating machine learning with traditional RCA methods can aid in your root cause discovery and even predict when things will go wrong.
