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IT Change Management Risk Best Practices

December 18, 2020

Organizations still struggle to manage change management risk across their IT applications and infrastructure. In today’s volatile environment, this is especially critical since change failures cause major service disruptions and significant business disruption. As a matter of fact, according to Gartner, 80% of outages are change-related. Predicting and mitigating this risk, therefore, is critical, since this can lead to:

  • Reduced revenue, degraded customer experience, and lower satisfaction: According to multiple studies, outages can cost upwards of $300,000 per hour
  • Decreased productivity: Unnecessarily lengthy Mean-Time-To-Resolve (MTTR) and effort spent on change rework
  • Limited ability to respond to market needs: Fear of change failure can result in decreased change velocity and deployment frequency


How can you leverage the power of Analytics and Artificial Intelligence (AI) to mitigate your change risk and increase your ability to respond to market needs?


Download this research paper by IT Analyst Firm Enterprise Management Associates (EMA) to learn how to:

  • Better predict change failure & mitigate the risk of change-related outages
  • Identify change-related issues before your customers find them
  • Shorten change lead times and improve change velocity
  • Increase Change Advisory Board (CAB) efficiency, free up executive time and be more responsive to business needs
  • Reduce change rework & system recovery costs by making data-driven resource allocation decisions
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