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Raw data analysis

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:

  • HIPAA-compliant analytics for healthcare systems: How hospital marketing teams can measure what matters

    Patients now research symptoms, compare providers, and book appointments entirely online before ever contacting a hospital. Healthcare marketers need to adapt to digital-first patient journeys, run campaigns for numerous service lines, manage hospital marketing analytics across multiple locations, and prove ROI to administrators. For nonprofit hospitals, the picture is broader still — donation tracking is…

  • Privacy by design in practice: How “just enough” data beats “just in case” collection

    While collecting more data “just in case” feels safer, according to Matt Gershoff, it’s also one of the biggest sources of unnecessary compliance risk, analytical noise, and wasted organizational resources in the analytics industry today. His approach of “just enough” data collection is more intentional, more aligned with privacy regulation, and often more analytically effective.

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