SAP Case Studies Avoid Unplanned Downtime with Predictive Analytics

Avoid Unplanned Downtime with Predictive Analytics

SAP
Avoid Unplanned Downtime with Predictive Analytics
Equipment & Machinery
Discrete Manufacturing
Predictive Maintenance

Objectives • Create an innovative IT environment that supports the move toward a solution-provider business model • Enhance existing business processes and leverage the power of Big Data and predictive maintenance to become more proactive, customer oriented, and competitive • Leverage the SAP HANA® platform to transform and simplify the entire SAP® solution landscape

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KAESER KOMPRESSOREN SE

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Technical implementation • Successful migration of the SAP Customer Relationship Management (SAP CRM) application to SAP HANA in just 2.5 months and with just 1.5 days of downtime • Great collaboration with SAP during all phases of the project

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Communication Performance, Downtime, Process Procedure, Speed
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Mature (technology has been on the market for > 5 years)
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[Process Optimization - Predictive Maintenance]
Foundation for predictive maintenance. Simpler and more agile IT landscape and business processes
[Efficiency Improvement - Production Uptime]
Successful and smooth production launch of SAP CRM powered by SAP HANA with just 1.5 days of downtime

5 times faster database response times

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