> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getcollate.io/llms.txt
> Use this file to discover all available pages before exploring further.
# Data Quality Observability Guide
> Step-by-step guidance for data quality observability using Collate. Learn key actions, features, and best practices.
# Data Quality and Observability
Collate gives you everything you need to monitor and maintain data quality — without writing a single line of code. Use built-in tests, real-time observability metrics, incident management, and AI-powered root cause analysis to keep your data reliable and trustworthy.
When something goes wrong, Collate helps your team detect it fast, understand why it happened, and fix it. You get full visibility into data flows and test results in real-time, plus [alerts and notifications](/ai-2-0/how-to-guides/data-quality-observability/alerts-notifications/data-observability-alerts) so the right people know the moment quality drops.
Set up no-code tests, triage failures, and resolve incidents end-to-end.
Configure the data profiler to track column statistics and spot anomalies.
Route quality alerts to the right people at the right time.
Track, triage, and resolve data incidents in one place.
Automatically detect unusual patterns and open incidents before they cause problems.
Monitor pipeline runs, schedules, and health across your data platform.