Case Study Deskcasestudydesk.com
Financial ServicesSourced

Case Study: BMO slashed root-cause analysis time 80% with Dynatrace Grail

BMO Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
BMO
Industry
Financial Services
Challenge
Slow log analytics across hybrid infrastructure
Headline result
BMO used Dynatrace Grail and causal AI to cut root-cause analysis time by 80% and eliminate about 60 hours of manual log toil per team each month.

Key results

80%
Reduction in root-cause analysis time
60 hours
Manual log-analytics toil eliminated
Per team, monthly
40 hours
Additional team time freed
Per team, monthly

The challenge

BMO, a North American bank, needed automated, AI-powered observability across its hybrid on-premises and cloud infrastructure to identify and resolve issues quickly. The goal was to support a data-driven, digital-first strategy while reducing manual log-analytics work.

The solution

BMO adopted the Dynatrace platform, using the Grail data lakehouse, causal and predictive AI capabilities, and AutomationEngine to run log analytics at scale and automate incident response and ITSM routing.

The combined power of Dynatrace's Grail and its causal and predictive AI capabilities has enabled our team to fully embrace the principles of SRE and respond with record speed when issues occur.

RS
Rohan Shah
Senior Manager for Site Reliability Engineering, BMO

The results, in context

BMO slashed root cause analysis time by 80% and eliminated around 60 hours of manual log-analytics toil per team every month. The approach also freed up approximately 40 hours of additional time for each team every month.

Products used

Dynatrace Dynatrace platformDynatrace GrailDynatrace AutomationEngine