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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Anonymous website visitor tracking: How to do useful analytics without personal data [Updated]
Regulations worldwide, like GDPR or the ePrivacy Regulation, set a high bar for collecting user data. For one, GDPR requires consent to process the data if it’s reasonably likely that such data could be used to identify an individual. The problem is that consent opt-in rates typically vary between 30% and 70-80%. The solution? Anonymizing…
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What is PII, non-PII, and personal data? [UPDATED]
Personally identifiable information (PII) and personal data are two classifications of data that often confuse organizations that collect, store and analyze such data. Both terms cover common ground, classifying information that could reveal an individual’s identity directly or indirectly. PII is used in the US, but no specific legal document defines it. The legal system…
Other definitions
Recent posts from Piwik PRO blog
- Anonymous website visitor tracking: How to do useful analytics without personal data [Updated]
- What is PII, non-PII, and personal data? [UPDATED]
- What is first-party data and how does it benefit your marketing strategy [Updated]
- Digital marketing analytics: The beginner’s guide to data-driven marketing success [Updated]
- We’re introducing Piwik PRO MCP Beta – get answers from your data without building a single report
- Google is changing how GA4 and Google Ads share data: Here’s how it puts your compliance at risk
- HIPAA-compliant analytics for healthcare systems: How hospital marketing teams can measure what matters
- Privacy by design in practice: How “just enough” data beats “just in case” collection