PredictPulse ROI CALCULATOR
Estimate your total annual savings and investment gain with PredictPulse predictive analytics
Why Eaton PredictPulse? PredictPulse increases operational efficiency for asset management, improves repair vs. refresh decisions and reduces unplanned events and downtime costs by
predicting component failures in advance. PredictPulse enables proactive replacement of components compared to the traditional replace-after-failure service contract model.
While that all sounds valuable, this ROI tool helps you transform the benefits of predictive analytics into money saved.
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Value Proposition |
Eaton Corporation will supply a predictive analytics remote monitoring service to CUSTOMER at a price of $X and a savings of over $Y, with a Z% annualized ROI.
This service offers two primary benefits: increases operational efficiency for asset management and repair vs. refresh decisions, and reduces unplanned events and downtime costs
by predicting component failures in advance so Eaton can proactively replace components compared to the traditional replace-after-failure service contract model.
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Target Customers |
- IT Data Center Segment (Enterprise, Hyper, Colo, SMB)
- Medical and Hospital
- State, Local and Education (SLED)
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Identified and Quantified Benefits |
- 24x7 Monitoring, Real-Time Data and Reporting
- Power Expertise
- Easy to Deploy
- Security of Data and Intrusion
- Expedited Response
- Faster Repairs
- Higher Reliability
- Expert Field Techs with Van Stock Parts Inventory
- Proactive Repairs
- Risk Mitigation
- Lowers Downtime Costs by 75%
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Competitive Distinctiveness |
- Predicts Component Failures for Proactive Remediation
- Higher Reliability
- Lowers Downtime Costs by 75%
- Compelling and unique value to IT managers and data center segment
- Increased OPEX efficiency in planning repair vs. replace of assets CAPEX
- Reduced risk of downtime costs due to component failures or assets not protecting critical loads
- Reducing unplanned repair time by remotely diagnosing and expediting repairs with parts
- Increased savings by reducing unplanned maintenance and increasing planned maintenance
- Extending life cycle of components and assets
- Optimizing service level and frequency to minimize total cost of ownership based on downtime costs and availability needs
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