A practical checklist and evaluation guide to choose or build data observability tooling and integrate it into incident and triage workflows.
A structured, interactive RFP and vendor evaluation checklist tailored to data observability needs (lineage, checks, alerts, integrations) with fields to capture vendor responses, per-criterion scores, category weightings, and a vendor scorecard to support objective selection and comparison.
An operational runbook that classifies common data anomalies, provides concrete detection recipes (including example SQL checks and statistical methods), a practical triage playbook, common fixes and automation patterns, communication templates, and recommended alert prioritization to reduce noise. Also includes a short vendor-selection checklist and key metrics to measure observability effectiveness.
A practical, decision-focused matrix that classifies data incidents by impact and urgency, prescribes standardized triage steps, provides notification templates and SLA targets, and includes example incidents and run‑through scenarios to speed response and clarify ownership.