Download PDF
SAP > Case Studies > Avoid Unplanned Downtime with Predictive Analytics
SAP Logo

Avoid Unplanned Downtime with Predictive Analytics

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

Related Case Studies.

Contact us

Let's talk!

* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.