This datasheet focuses on how Spotfire enables proactive and predictive maintenance using machine sensor data. It describes use cases including root cause analysis, failure prediction, and optimization of maintenance strategies to minimize downtime and cost. Spotfire integrates real-time sensor streams with historical performance, ERP maintenance costs, and environmental data to model asset reliability and detect deviations from normal behavior. Predictive models trigger automatic alerts before failures occur, allowing just-in-time maintenance instead of reactive or over-serviced approaches. The datasheet highlights reduced unplanned downtime, extended asset lifecycles, improved safety and compliance, and measurable cost savings through data-driven maintenance decisions.

Join for free to read