Quality Dashboard
The Quality Dashboard provides a centralized view of data quality health across your space. It aggregates check execution data into interactive charts, KPI cards, and product breakdowns — giving data stewards and governance leads a clear picture of quality trends over time.
Accessing the Dashboard
Navigate to Quality Engine → Dashboard from the main sidebar. The dashboard loads data for the current space and defaults to a 30-day view.
KPI Cards
Four headline metrics appear at the top of the dashboard:
| KPI | Description |
|---|---|
| Current Health | Percentage of checks currently passing (color-coded: green ≥ 80%, amber ≥ 50%, red < 50%) |
| Total Executions | Total number of check executions in the selected date range |
| Pass Rate | Overall pass rate across all executions |
| Avg / Day | Average number of check executions per day |
Dashboard Sections
The dashboard is organized into toggleable sections. Use the Sections bar at the top to show or hide individual panels.
For run-level triage, open Quality Execution History. For contract SLA compliance, use the SLA Dashboard.
Quality Trend
An area chart showing how quality metrics evolve over time. This is the primary visualization for tracking improvements or regressions.
Metric Selector
Switch between four metrics using the segmented control:
- Health % — Overall health percentage (0–100 scale)
- Total — Total check executions
- Passing — Number of passing checks
- Failing — Number of failing checks
Group By
Control how data is aggregated:
- Aggregate — A single line showing the combined metric across all products and checks
- By Product — One line per product, with a clickable legend to show/hide individual series
- By Check — One line per quality check
When viewing grouped data, click legend items to toggle individual series on or off. This is useful for isolating a specific product or check that is affecting overall health.
Execution Volume
A stacked bar chart showing daily execution volume broken down by outcome:
- Passing (green) — Checks that met their threshold
- Warning (amber) — Checks that are close to failure
- Failing (red) — Checks that breached their threshold
This chart helps identify spikes in failures or periods of low check activity.
Product Breakdown
A detailed table showing per-product quality metrics:
| Column | Description |
|---|---|
| Product | Data product name |
| Type | Product type (e.g., Table, Dashboard) |
| Checks | Total number of quality checks |
| Pass | Number of passing checks |
| Fail | Number of failing checks |
| Warn | Number of checks in warning state |
| Health | Visual health bar with percentage |
Products are sorted by health percentage, making it easy to identify the products most in need of attention.
Filtering
The filter bar allows you to narrow the dashboard view across multiple dimensions:
| Filter | Description |
|---|---|
| Date Range | Time period for trend and volume data (7 days, 30 days, 90 days, etc.) |
| Product | Focus on a specific product |
| Product Tags | Filter by product tags |
| Check Tags | Filter by check-specific tags |
| Check Type | Filter by check type (e.g., freshness, completeness, uniqueness) |
Filters apply to all sections simultaneously. Click Clear Filters to reset.
Best Practices
Review Weekly
Schedule a weekly review of the quality dashboard during your governance meeting. Focus on the trend chart to spot regressions early.
Use Tags for Focused Views
Tag critical products and their checks with consistent labels (e.g., critical, pii). Then use the tag filters to create focused dashboard views for specific compliance or risk areas.
Investigate Declining Trends
When the health trend shows a decline, use the By Product group-by to isolate which products are causing the drop, then navigate to those products to review individual check configurations.
Learn More
- Quality Checks for configuring and running quality checks.
- Quality Execution History for recent run investigation across the space.
- SLA Dashboard for contract freshness and quality compliance.
- Quality Management Overview for quality management concepts.