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Avoid Unplanned Downtime with Predictive Analytics

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 Avoid Unplanned Downtime with Predictive Analytics - IoT ONE Case Study
Applicable Industries
  • Equipment & Machinery
The Customer
Kaeser Kompressoren SE
About The Customer
The Challenge

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

The Solution

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

Data Collected
Communication Performance, Downtime, Process Procedure, Speed
Operational Impact
  • [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
Quantitative Benefit
  • 5 times faster database response times

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