Ozessa doesn't just fix what's broken; we prevent it via Predictive Maintenance. Our engines ensure your data estate remains healthy using Automated Data Checks.
ML models can predict 80% of volume-based pipeline failures.
Predictive maintenance increases system uptime to 99.99%.
Ozessa Pulse monitors "Metadata Health" in real-time.
Visible Signal
Pipelines slowly get slower until they eventually crash.
Consequence
Unplanned downtime during critical reporting windows.
Architecture Flaw
No visibility into the "Health" of the transformation logic.
Pipelines don't just break; they degrade. By monitoring metadata-like the distribution of values or the time to complete a join-we can see the "Smoke" before the "Fire".
Our architecture mandates a reliability-first approach, injecting comprehensive markers and circuit breakers into the core transformation logic.
Implementing Ozessa Pulse Monitoring.
Automated "Health Scoring" for all pipelines.
Predictive Throttling to prevent Fabric Capacity exhaustion.
Ozessa doesn't just fix what's broken; we prevent it via Predictive Maintenance. Our engines ensure your data estate remains healthy using Automated Data Checks.
Stop relying on manual spreadsheets. Establish a reliable baseline and automate your reporting.
Book a consultationStop spending weekends reconciling spreadsheets. Let us build a reliable data system you own - inside your own Microsoft workspace.
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