With Watson AI incorporated into Intellimagic we would like the following two scenarios included in comparative analysis and root cause analysis after a major mainframe incident

Why is it Useful?

• Whenever we have major Mainframe Incidents so many teams are researching, reporting and analyzing their siloed areas with their own reporting, methods and toolsets. 
• Time to complete the reporting and analysis takes time and when all the siloed areas report their information to a central location then it takes time to assess to determine what correlates to major incident time and then determine sequence of events before coming, up with potential root cause analysis.  All this takes time and then to pull all this information together takes more time and then to figure out how to report out this information to substantiate the findings again all takes time.
• If the following ideas are considered then potentially all customers will benefit and an industry standard could be developed for reporting out rapidly utilizing Intellimagic AI capabilities to quickly determine changing patterns for all subsystem areas and workloads and correlate all this information to determine potential root cause with Intellimagic AI reporting out formerly the findings with accurate data and correlation to substantiate the root cause findings.

Who would benefit from it?

• All Intellimagic Customers

How Should It Work?

• Intellimagic you can compare two different days side by side with very busy graphs reporting multiple LPARS or multiple workloads and Intellimagic AI could automatically tell us in seconds where the significant variation occurred both drop-off or increase with exact details
• With a major incident Intellimagic AI could help traverse the Intellimagic Subsystem components rapidly to determine any significant issues occurring at the same timeframe as the major incident.  Reporting both significant utilization patterns is of value, however reporting significant response time issues and workload degradation analysis is critical and understanding exactly which subsystem components were impacted is critical.
• Can elaborate further if needed!