Data Products for Qlik Analytics - Data Quality - Advanced Data Validation Rules - Part 7

Welcome to Part 7 of the “Data Products for Qlik Analytics” series! In this episode, we take Data Quality to the next level by building advanced data validation rules using IF / THEN / ELSE logic within Qlik Analytics.

You’ll learn how to create conditional validation logic that evaluates relationships across multiple columns, enabling smarter and more dynamic data quality checks for your data products.

In this video, we cover:

• Creating advanced validation rules in Qlik Data Quality
• Using IF / THEN / ELSE logic for conditional checks
• Validating data across multiple fields and columns
• Building business-rule driven quality controls
• Improving trust and consistency in analytics-ready datasets
• Practical examples for enterprise data products

Whether you're a data engineer, analytics developer, or Qlik administrator, these techniques will help you implement more intelligent data governance and validation strategies inside your analytics environment.

Series: Data Products for Qlik Analytics
Part 7: Data Quality – Advanced Data Validation Rules

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