Maintaining accurate reference data is essential for data integrity and reliable decision-making. This video demonstrates how iceDQ’s validation rules empower you to:
Verify data against predefined values: Ensure your reference data adheres to established standards and prevent inconsistencies.
Automate data checks: Streamline data quality processes by automating reference data validation and eliminating manual verification tasks.
Identify and address data errors: Proactively identify and rectify inaccurate reference data before it impacts downstream processes.
Learn how to:
Create and configure a validation rule in iceDQ.
Set up a source connection to your reference data table.
Implement a “Contains” check to verify against expected values.
Interpret rule results and address any discrepancies.
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To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
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The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
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