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Device fingerprint tracking

A device fingerprint is data that was gathered about the hardware and software of computers, smartphones, and tablets. This data allows you to distinguish the user during an interaction with the web browser of said device.

Device fingerprints could include information such as:

  • IP address
  • location & time settings
  • audio settings
  • battery status
  • screen resolution
  • fonts (Flash or JavaScript)
  • operating system

Device fingerprint tracking enables you to use all this digital fingerprints to identify users across various devices such as desktop or mobile devices. It has been developed as an alternative to tracking via cookies as it works where cookies can’t.

More about the device fingerprint tracking on Piwik PRO blog:

  • 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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