Data-Driven Maintenance is a maintenance strategy that uses data to inform decisions about maintenance operations and management. It involves collecting and analyzing data from various sources, such as sensors, equipment, and other systems, to identify patterns and trends that can be used to optimize maintenance activities. DDM enables organizations to make more informed decisions about when and how to perform maintenance, resulting in improved efficiency, cost savings, and increased reliability. DDM can also be used to identify potential problems before they occur, allowing proactive maintenance and reducing the risk of costly downtime.
