SAP Case Studies Avoid Unplanned Downtime with Predictive Analytics

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	Avoid Unplanned Downtime with Predictive Analytics SAP

Avoid Unplanned Downtime with Predictive Analytics

SAP

Applicable Industries	Equipment & Machinery
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 Read More
About Customer	- Read More
Customer Name	Kaeser Kompressoren SE Read More
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 Read More Log in to view content
Data Collected	Communication Performance, Downtime, Process Procedure, Speed Read More Log in to view content
Contents

Applicable Industries

Equipment & Machinery

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

About Customer

Customer Name

Kaeser Kompressoren SE

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

Impact #1	[Process Optimization - Predictive Maintenance] Foundation for predictive maintenance. Simpler and more agile IT landscape and business processes
Impact #2	[Efficiency Improvement - Production Uptime] Successful and smooth production launch of SAP CRM powered by SAP HANA with just 1.5 days of downtime

Impact #1

[Process Optimization - Predictive Maintenance]
Foundation for predictive maintenance. Simpler and more agile IT landscape and business processes

Impact #2

[Efficiency Improvement - Production Uptime]
Successful and smooth production launch of SAP CRM powered by SAP HANA with just 1.5 days of downtime

Benefit #1	5 times faster database response times

Benefit #1

5 times faster database response times

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Overview

Avoid Unplanned Downtime with Predictive Analytics

Operational Impact

Quantitative Benefit