Quality & Observability
"Know the health of your data at every moment"
Automated testing, anomaly detection, and lineage tracking give teams early visibility into data health, so issues surface promptly and confidently. Trust in data is built one contract at a time.
What we deliver
Data contracts & tests
Schema, freshness, volume, and value tests in CI.
Anomaly detection
Statistical and ML-based detectors that surface subtle issues automatically.
Lineage tracking
End-to-end column-level lineage across pipelines and warehouses.
Service-level objectives
Freshness, completeness, and accuracy SLOs with budgets.
Quality dashboards
Single pane covering pipeline health, SLO status, and incidents.
Incident response
On-call rotation, RCA template, and structured post-incident reviews.
Working lifecycle
Define SLOs
Agree freshness, completeness, accuracy targets per dataset.
Add tests
Contracts and tests run on every pipeline change and on schedule.
Wire observability
Lineage and quality metrics into a single dashboard.
Operate
On-call, RCAs, and continuous improvement of the test bench.
Related sub-services
Talk to us about Quality & Observability
Tell us about your data estate and the outcome that matters. We will reply with a scoped plan.