Decision Trees are predictive analytics tools used in Maintenance Operations and Management to help identify the best course of action for a given situation. They are graphical representations of possible solutions to a problem, based on a set of conditions and criteria. Decision Trees are composed of nodes, branches, and leaves. Nodes represent a decision point, branches represent the possible outcomes of the decision, and leaves represent the final outcome. Decision Trees are used in Predictive Maintenance (PdM) to analyze data and identify patterns, allowing maintenance teams to make informed decisions about how to best address a given issue. They can also be used to identify potential risks and develop strategies to mitigate them.