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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:

  • University website personalization: First-party data strategies for student recruitment and retention

    University websites receive millions of visits annually from diverse audiences – prospective students, admitted students weighing their options, current undergraduates, graduate students, parents, alumni, and faculty. Yet most institutions serve identical content to all these visitors, missing critical opportunities to engage each audience with relevant information.

  • Digital marketing in the energy sector: Key challenges and fixes

    Summary The European energy and utilities sector is changing quickly. Customers expect smooth digital experiences, personalized communication, and easy access to their data. At the same time, regulators continue to tighten privacy and security standards across the EU. For marketing teams, this creates a familiar dilemma – how to deliver relevant, data-driven experiences while staying…

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