Data Quality Monitor

About this Agent

Profiles datasets for quality issues, scores completeness, accuracy, and consistency, applies automated validation rules, and detects data drift over time.

• Profile datasets comprehensively across structure, completeness, and referential integrity
• Score data quality across completeness, accuracy, consistency, and timeliness dimensions
• Define and evaluate automated quality rules for continuous monitoring
• Detect statistical drift in data distributions and classify root causes
• Generate quality reports with actionable remediation recommendations

• 1“Profile the customer master dataset and generate a full quality scorecard”
• 2“Set up automated quality rules for our daily transaction feed”
• 3“Investigate the data drift alert on the average order value column this week”
• 4“Audit data quality across all 6 data sources feeding the executive dashboard”