Data Quality Alerts

Data Quality workflows help monitor the health of your data feeds and trigger alerts based on custom thresholds. You can proactively detect issues by defining alerts tailored to specific business contexts and data conditions. Create customized workflows to identify and respond to data quality issues before they impact downstream processes.

Example use cases include:

• Alert when CrowdStrike data is missing for more than three days

• Alert when CrowdStrike event errors exceed five percent

• Alert on data lake connection failures

For each data feed, the Data Quality side panel displays both built-in alerts and custom alerts generated through workflows.

Creating a Data Quality Workflow

To create a new data quality workflow, follow these steps:

1. Navigate: Go to the Data menu and select the Data Quality Alerts tab under Workflows.

   

2. Create New Workflow: Click the Add Workflow button.

   

3. Choose Workflow type: click on Choose Data Quality Workflow.

   

   Note:

   You can also access the “Create Workflow” page by navigating to Compliance > Remediation Actions > Add Workflow.

4. Create New Data Quality Workflow: Fill in the fields with suitable data.

   • Name: provide a suitable name for the workflow.

   • Description: provide a description for the workflow.

   • Severity: select the severity ranking for the workflow from the drop-down list.

   • Data Sources: select the onboarded data sources to which you want this workflow to apply.

     

   • Metric Type: select the metric type to evaluate from the drop-down list.

   • Threshold: enter the percentage value that triggers the alert.

   • Frequency: select how often DataBee checks for the defined conditions.

   • Output: select the workflow integration from the drop-down list.

     

5. Save: Click Save to activate the data quality workflow.

Managing Data Quality Workflows

Once the workflows are configured, you can monitor and manage them within the DataBee console:

• Workflows Overview:

  • Navigate to the “Manage Workflows” page for a holistic view of all data quality workflows.

  • Review details such as the output, last run time and current status.

    

• History:

  • Click the History button for any action to access a detailed history table.

  • View information including the source, output, and current status.

  • Use filtering and search options to analyze specific workflows.

    

  This visibility ensures you can track the performance and effectiveness of your automated responses.