What is it?

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle.

High data integrity is required for trustworthy insights.

Examples in Action

• Correct event tracking implementation
  
• Consistent metric definitions
  
• Stable data pipelines
  
• Validation and QA processes
  

Typical Outcomes / Results

• Increased confidence in reporting
  
• Reduced analysis errors
  
• Improved decision quality
  
• Stronger stakeholder trust
  

This glossary entry reflects standard data governance principles.