Uptime is critical for generating revenue, avoiding expensive unplanned downtime, and meeting customer expectations. Predictive failure capabilities allow issues to be identified and resolved before they occur, virtually eliminating unplanned downtime and streamlining repair processes for lower operational costs.
• Decreases failure-driven downtime that can be prevented through proactive repair or maintenance
• Determines the right time to address an issue before it becomes costly
• Accurately estimates Mean Time to Failure (MTTF) of critical assets
• Lowers total cost of ownership (TCO) and repair costs
DataV Predict helps improve the uptime of critical business assets by identifying when and how a failure may occur. By applying sophisticated data analytics on the digital twin’s historical data and other contextual data, DataV Predict identifies probable failures then determines the right time and action to remediate the issue before it happens, avoiding expensive downtime and optimizing repair processes. DataV Predict continually adapts to changing performance and environmental variables to enhance its predictive capabilities and improve its accuracy.