← Back to Agenda

Most data teams still measure success with stale, one-size-fits-all SLAs – “five nines” uptime, vague data-quality thresholds. The result? You find out something’s broken when a business user does, and by then it’s already costing time, money, and credibility.

This session shows why those legacy SLAs miss the mark and lays out a fail safe approach that combines Pantomath’s real-time pipeline observability to automate data operations. You’ll see how automated lineage, anomaly detection, and root-cause analysis trigger ITSM workflows the moment an issue appears, routing context-rich incidents to the right owner and kicking off self-service fixes. The outcome is a living SLA that adapts to workload priority, business impact, and governance requirements – no more static targets, no more firefighting.

Speaker

Paul Walker

Head of GTM, Pantomath