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Service Provides Predictive Data Center Analytics - EATON - Facility Management Product Release
PredictPulse Insight is a cloud-based analytics service for data center infrastructure to help predict the failure of power components. The service adds predictive analytics to Eaton’s PredictPulse remote monitoring service, shifting power monitoring from a reactive to a proactive model. Using innovative algorithms and predictive modeling, the service continuously assesses the likelihood of component failures in uninterruptible power systems (UPSs), helping reduce the risk of downtime in data center infrastructures.
PredictPulse Insight collects and analyzes data from the UPS and, using proprietary modeling and advanced algorithms, attempts to identify component failures ahead of time. This enables Eaton’s certified technicians to proactively remedy issues and replace essential UPS components rather than reacting should one of these components fail. The service bridges Data Center Infrastructure Management (DCIM) and traditional operational tools to reduce the risk of downtime and allow facility managers to focus on other initiatives that strategically impact the business.
With PredictPulse Insight, users receive real-time information using an online dashboard so operators can monitor what is happening with their power infrastructure and connect quickly to an Eaton monitoring specialist. Users can view real-time device details, alarms, key performance metrics, service history and contact information from their online dashboard to remain up to speed on the status of their power infrastructure and any trends that develop. Additionally, the service’s mobile app shows alarm status, saving valuable time during a critical event where users may be away from their dashboard.
PredictPulse Insight installs using standard Eaton network cards and can be customized to meet specific end user needs, including changing or deleting devices, adjusting coworker access and setting escalation preferences. Users receive monthly email reports that summarize the past 30 days of status, performance and alarms, upcoming maintenance and personalized energy savings summaries. Ultimately, the service uses detailed algorithms and expertise to help protect mission critical operations and improve business continuity.
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