Enabling Proactive Problem Management & Reducing Major Incidents with Data Analytics

It is Monday morning, and once again, everyone in the organization drops what they are doing to take on unplanned work due to another major incident. Sound familiar? If so, then your organization is struggling with the challenges related to systemic problems caused by technical debt, un-stable snowflake environments, and issues related to process capability.

To reverse this trend, organizations need to go on the offensive by moving from a reactive Incident approach to proactive problem identification and management. However, to do this successfully, Lean teaches that you need data since you cannot avoid a problem you cannot see.

Join Troy DuMoulin, VP of Research and Development at Pink Elephant, and Amit Shah, Director of Product Marketing at Numerify, as they discuss the critical success factors for enabling Proactive Problem Management and how data, analytics, and machine learning can enable organizations to avoid major incidents and reduce un-planned work. Topics that will be covered include:

  • Reactive versus proactive Problem Management 
  • Major Incident reviews and trend analysis 
  • Using root cause analysis techniques to improve incident prediction
  • Using risk management to manage problem backlogs
  • Using AI/ML techniques to create early warning systems 
Pink elephant IT
Featured Speaker
Troy DuMoulin, VP, Research & Development, Pink Elephant
Troy is a leading ITIL® IT Governance and Lean IT authority with a solid and rich background in Executive IT Management consulting. Troy holds the ITIL Expert certifications and has extensive experience in leading IT Service Management (ITSM) programs with a regional and global scope. He is a frequent speaker at IT Management events and is a contributing author to multiple ITSM and Lean IT books, papers and official ITIL publications including ITIL’s Planning To Implement IT Service Management and Continual Service Improvement.