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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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.
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Five things every marketer should know about web analytics in 2026
Web analytics is changing fast. AI is moving from buzzword to actual business impact, privacy rules keep shifting on both sides of the Atlantic, and marketing teams are rethinking their tool stacks. What does this mean for analytics strategy in 2026? We asked industry experts to share their predictions.
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