The Data Quality usage page displays the volume of data processed by Data Quality Assessment and Data Quality Pipelines alongside your allowance amounts. This information helps you monitor consumption, plan capacity, and understand your usage patterns.
The Data Quality usage page provides visibility into how much data your organization processes through Data Quality features at the workspace level. You can access the usage page from the main navigation menu by selecting .
Usage metrics
The Data Quality usage page displays two primary metrics:
| Metric | Description |
|---|---|
| Data Quality Assessment | The total number of records evaluated when running Data Quality rules to assess data quality, regardless of the outcome (pass or fail). |
| Data Quality Pipelines | The total number of records processed through pipeline transformations, including input records, intermediate transformations, and output records. |
Usage display format
Each metric displays the following information:
- Current Usage: The total volume of data processed during the current billing period, displayed in gigabytes (GB) or terabytes (TB).
- Allowance: Your subscription allowance for that metric, displayed in the same unit as current usage. Your allowance is determined by your subscription tier, custom agreements, or add-on purchases.
- Percentage Used: A visual indicator showing what percentage of your allowance has been consumed.
Usage charts and trends
The usage page includes visual charts that display your usage patterns over time, showing daily or weekly aggregations depending on your selected time range. Use these charts to identify peak usage periods, forecast future usage based on historical patterns, detect anomalies or unexpected spikes, and plan for capacity upgrades.
Understanding your allowance
Best practices for managing usage
To optimize your Data Quality usage and manage costs effectively:
- Monitor regularly: Check the usage page and charts weekly or monthly to stay informed about consumption trends and identify peak usage periods.
- Set alerts: Work with your workspace administrator to establish alerts when usage reaches a certain threshold (for example, 80% of allowance).
- Optimize rules and pipelines: Review your quality rules and pipeline configurations to ensure they are processing only necessary data.
- Schedule executions strategically: Distribute pipeline executions across different times to avoid usage spikes.
- Review entitlements: Periodically review your subscription plan to ensure it aligns with your organization's data quality needs.
- Plan for growth: If you anticipate increased data volumes, contact Precisely Support in advance to adjust your allowance.