A leading global manufacturing company
Build a analytics capability around its IT infrastructure support center:
- To predict potential outages causing business impact
- To integrate all the data pieces into an environment to generate insights
- Unstructured legacy data available, but no periodic analytical trends or analytical insights
Analytics Led Approach
- Provided segment alerts based on the business impact perspective, to identify most critical ones
- Developed outage prediction models based on historical data collected in the system
- Reporting hub generating periodic and specific reports as requested giving insights
- One single hub giving all business insights helping in better performance and management
- Faster resolution and decision support for the participating teams
- Proactive knowledge of outage enabled better planning which in turn reduced business impact due to those outages
Critical Success Factors
Intelligent alert system based on business impact and assigning priority levels to the critical alerts
Outage tracking and failure prediction mechanism based on IT support center’s ticket data
Periodic on demand reports generated by the mechanism
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