Examples for Data Quality Validator

Validates customer master file with excellent data quality. Demonstrates handling of clean datasets with 100/100 quality score, showing positive confirmation messaging and migration approval process. Illustrates perfect completeness, valid formats, and no critical issues detected.

Validates inventory management data containing negative stock levels, out-of-stock conditions, missing quantities, and future restock dates. Demonstrates range validation capabilities and business-context remediation recommendations for operations scenarios requiring immediate action on stock discrepancies.

Validates sales transaction data containing critical issues including negative amounts, duplicate order IDs, missing values, and invalid email formats. Demonstrates severity classification, revenue impact quantification, and prioritized remediation recommendations for business reporting scenarios.