12 June 2025

Qlik Trust Score™ for AI-readiness

Share this message

The latest Qlik Cloud update introduces new dimensions to the Qlik Trust Score™ to enhance how organizations evaluate the readiness and reliability of datasets for artificial intelligence applications. These additions provide deeper insight into data quality. It helps securing trustable AI outcomes and reduce the risk of bias.

Key features

  • Diversity: Measures the richness of data to be used by AI by considering how much data is available compared to expectations and how data is distributed. A high diversity score helps ensure AI systems are built on broad, balanced, and representative information.

  • Accuracy: Defines custom validation rules under the “Accuracy” category to measure data accuracy. The severity of failing rules influences the overall score, helping to quickly pinpoint the most critical issues.

  • Timeliness: Sets freshness thresholds at the dataset level to ensure data is up-to-date over time. It is calculated using an increasing function based on data pipelines updates.

Qlik Trust Score™

Bitmetric Qlik Support

Keep your Qlik environment running smoothly with proactive support that prevents issues before they appear. Available on flexible monthly plans. Learn more.

Qlik vs Power BI Series

See how Qlik and Power BI perform when theory meets reality. Three apps rebuilt, every step examined. Learn more.

How can we help?

Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you.