
All maintenance organizations have work history data that is dirty. Mining this data, regardless of the data condition, will provide value to the organization and is the first step in the process of turning data into actionable information to improve equipment strategies. At a minimum, the information gained from mining work history will provide work order trends, provide focus on which parts of the work history data need improvement, identify parts usage, etc.