Infrastructure Failure Prediction

Share on twitter
Share on facebook
Share on linkedin
Share on whatsapp
Share on email

A leading global manufacturing company

Problem Statement

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

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

    XTechalpha: Launching a “next-in class“ platform of exponential technologies: AI, Blockchain, Cloud, Cybersecurity, IoT & emerging segments: GCCs, Startups and Academic Institutions & Edtech accentuated with an enviable line up of proven and seasoned thought leaders bringing together and ensemble, curated content, networking interventions and learning enhancement. A must visit primer for GIC heads, Technology leaders, Exponential technologies enthusiasts, Academic deans and Entrepreneurs.

    Watch the Launch video:

    XTechalpha: reimagine your THINKING