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:
Raw data analysis
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Piwik PRO recognized as the Emerging Partner of the Year by Acquia
Organizations in regulated industries face a persistent challenge: they need sophisticated analytics and personalization to stay competitive, but must also meet strict requirements around data protection and user consent. For teams using enterprise digital experience platforms, this often means choosing between powerful marketing tools or compliance-first approaches. We’ve been working to solve this through our…
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Banking website analytics for financial services: Tracking without compromising customer trust
You don’t have to choose between insights and trust – modern banking analytics can deliver both when implemented correctly. This article explores best practices and recommended steps for banking website analytics, as well as ways to avoid common pitfalls to ensure compliance without sacrificing the quality of insights.
Other definitions
Recent posts from Piwik PRO blog
- Piwik PRO recognized as the Emerging Partner of the Year by Acquia
- Banking website analytics for financial services: Tracking without compromising customer trust
- Five things every marketer should know about web analytics in 2026
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- University website personalization: First-party data strategies for student recruitment and retention
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- From Customer Data Platform to Data Activation: Why we’re evolving our approach
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