Raw data is unstructured and unformatted data that comes directly from a source. It can be in different formats, such as files, visual images, figures, database records or any other digital data. Raw data is unprocessed, not “trimmed”, unlike aggregated data, which is presented in a summarized format and limits your analytical capabilities.

Applying raw data for analysis lets you make more advanced and accurate evaluations. Exporting raw data from a web analytics platform allows you to utilize it in other tools and conduct further analysis.

To learn more about raw data in analytics, read our posts:


  • PHI and PII

    HIPAA violations and fines: What healthcare organizations need to know

    Quick summary HIPAA violations happen when a covered entity or business associate fails to meet the HIPAA Privacy, Security or Breach Notification Rule. Civil penalties range from a few hundred dollars to more than $2 million per violation, set across four tiers based on how much the organization knew.  What this guide covers: HIPAA violation…

  • The EDPB’s new data anonymization guidelines: what they mean for your analytics data

    Removing names, cookies and IP addresses is no longer enough to anonymize data. Here’s what the 2026 EDPB framework actually requires for anonymous data collection, what’s still unresolved, and how to configure your analytics to stay compliant while keeping the full view of traffic marketers rely on.