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Achieving Proactive Asset Management through Predictive Maintenance leveraging SAP HANA and the Internet of Things

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Achieving Proactive Asset Management through Predictive Maintenance leveraging SAP HANA and the Internet of Things
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In any industry that operates “machinery” such as manufacturing, transportation, construction, or any machine-heavy field, downtime and shrinking MTBF (mean time between failures) are the enemies, topped only by outright system failure. All three greatly increase overhead, and, combined with crisis maintenance, can result in significant losses for companies that need to be operating smoothly. How can organizations better handle their assets and ensure that operations are functioning and production is intact?

The answer is predictive maintenance: the shift in maintenance practices from reactive to proactive, increasing productivity and reducing downtime. The benefits — lower costs, better-functioning machines, and consistent production and delivery — are obvious, but getting there can be challenging. IT can help the operations department by providing it with predictive analytics, whereby operations can collect and analyze information to identify risks and opportunities and ensure that predictive maintenance is a reality.

Predictive Analytics: The Key to Proactive Maintenance

Read the entire article here, Achieving Proactive Asset Management through Predictive Maintenance leveraging SAP HANA and the Internet of Things

via the fine folks at Dell

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