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:


  • How to use raw data in web analytics

    Raw data offers infinite potential as a resource, as it comes in diverse forms from a wide range of sources. While it is highly valuable, raw data can also be challenging to organize and understand. It takes time, resources, and technical expertise to draw actionable insights from it. Before organizations can harness the power of raw…

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  • Google Analytics 4 (GA4) problems: The state of GA4 4 months after UA sunset

    After numerous delays, the complete shutdown of Universal Analytics finally took place on July 1st, 2024, forcing users to swiftly transition to Google Analytics 4 to maintain data access and measurement capabilities. However, Google Analytics 4 (GA4) employs an entirely different measurement model than Universal Analytics. Although GA4 offers new features and approaches, a range…

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