How to Perform Data Validation for Numeric Patterns?

This video explores how to leverage regular expressions (regex) for pattern matching, allowing you to validate data like ZIP codes and phone numbers against predefined formats.

Data validation safeguards the quality of your data by verifying its accuracy and completeness. This video focuses on numeric patterns, ensuring your numbers adhere to specific formats.

iceDQ empowers you to define custom data validation rules using powerful regular expressions (regex). You’ll see how to create patterns for ZIP codes and phone numbers, specifying the expected format (e.g., 5-digit ZIP code with optional hyphen and 4-digit extension).

The video demonstrates the process of building validation rules and applying regex patterns to your data. By successfully executing the rule, you can identify any discrepancies between your data and the predefined format. This helps maintain data consistency and prevents errors in analysis and reporting.

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