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Predictive Application Support

September 6, 2020

Leading manufacturing giant

Problem Statement

  • A manufacturing giant decided to build and host multiple applications in their environment
  • Some of these Apps are in test or production mode, predict feature will be deployed to help with (1) finding out App downtime (2) Event correlation and App behavior and (3) App improvement statistics



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

Business Impact

  • 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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