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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:

  • 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.

  • 4 ways to make your analytics HIPAA-compliant: Implementation guide

    Healthcare organizations have four main approaches to achieving HIPAA-compliant analytics. Each has different trade-offs in cost, technical complexity, and analytics capabilities. This guide compares all four implementation methods – from using Google Analytics with workarounds to deploying fully HIPAA-compliant analytics platforms – so you can choose the right approach for your organization’s needs and resources.

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