This global research by Dimensional Research across 501 automation professionals investigates how companies are managing, monitoring, and observing their workload automation, delving into whether automation issues contribute significantly to SLA breaches, how frequently SLA breaches occur, and their impact on the organization. The study also examines the use of monitoring and observability tools to understand downstream effects of automation issues, and whether those tools can predict and prevent automation issues.
Using too many disconnected tools often results in "alert storms" or cascading alerts where different systems report the same issue. This obscures the root cause and increases the Mean Time to Restore (MTTR) because teams must manually correlate uncorrelated information from multiple silos.
Research shows that 98% of companies attribute SLA breaches to automation failures. These failures often stem from a lack of end-to-end visibility across hybrid environments and an inability to predict how a delay in a small automation job will impact downstream business processes.
Without end-to-end visibility, 56% of companies remain "blind" to the downstream effects of an automation alert. This makes it difficult to prioritize issues based on their actual business impact, such as delayed shipping, compliance violations, or lost revenue