> ## 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 Observability Dashboards | Collate > Monitor data health, test performance, and incident metrics through Collate's Data Quality observability dashboards. # Data Observability Dashboards The **Data Quality** page under **Observability** provides a platform-level view of your data health and test performance. It helps you monitor trends, identify issues, and track how your data quality evolves over time. ## Access the Dashboard Navigate to **Observability > Data Quality** from the left navigation. The page opens on the **Summary** tab by default. ## Summary Dashboard The **Summary** tab gives you a consolidated view of platform-wide data quality metrics. Data Quality Summary Dashboard showing Data Health and Data Dimensions ### Data Health Understand the overall state of your data assets, including: * **Data Assets Coverage** — Total assets tracked vs. those not yet covered * **Healthy Data Assets** — Count of assets passing their quality checks * **Test Case Results** — Breakdown of successful, failed, and aborted test cases Data Quality Summary Dashboard showing Data Health and Data Dimensions ### Data Dimensions Analyze test results grouped by data quality dimensions such as Accuracy, Completeness, Consistency, and Integrity, helping you identify specific areas of concern. ### Test Cases Tab Switch to the **Test Cases** tab for a consolidated view of individual test case health, including recent run results and asset-level insights. Test Cases tab showing Test Case Insights with individual test results ### Test Case Status Track how your test cases are performing over time with trend charts for: * **Successful** tests * **Aborted** executions * **Failed** tests Use these trends to detect recurring issues and monitor improvements. Test Case Status trend charts and Incident Metrics ### Incident Metrics Monitor how data issues are being handled across the platform: * **Open Incidents** — Active unresolved data incidents * **Resolved Incidents** — Issues that have been closed * **Response Time** — How quickly incidents are acknowledged * **Resolution Time** — How long incidents take to resolve This helps you measure operational efficiency and improve incident management. Incident Metrics showing open/resolved incidents, response time, and resolution time ## Apply Filters Refine the dashboard view using the following filters to focus on the assets most relevant to you: | Filter | Description | | ----------------- | ------------------------------------------------------------------------------------------------------- | | **Owner** | Filter by responsible users or teams | | **Tier** | Focus on critical vs. non-critical assets | | **Certification** | Filter by certification level — Bronze, Silver, or Gold | | **Tag** | Narrow down by data classification or labels (excludes Certification tags, which have their own filter) | | **Glossary Term** | Analyze by business context | | **Date Range** | Track trends over a specific period | Filter panel with Owner, Tier, Tag, and Date Range options ## Data Observability Across Entities In addition to the platform-level dashboard, **Domain**, **Tag**, and **Glossary Term** pages each include a **Data Observability** tab. This tab reuses the same dashboard with filters automatically applied to the selected entity, letting you analyze data quality in a specific context without manually setting filters. Data Observability tab on a Domain entity page showing scoped data health metrics ## Table-Level Observability For deeper analysis at the dataset level, Collate provides enhanced observability on individual tables: * A **Data Observability** section scoped to the table * An **Overview** tab that includes: * Open incidents * Upstream failures * Quick access to lineage * Links to incident investigation This helps you move quickly from identifying an issue to understanding and resolving its root cause.