The freshness of your data in analytics describes how long it takes to collect, process and deliver data to your reports. If that process takes 1 hour, then data freshness equals 1 hour.

Different types of reports have different requirements for data freshness. If you are, for example, measuring ad performance on your website or app, daily updates might be sufficient.

Fresh data will help you better monitor your site’s performance and identify trends, patterns, and interesting changes much closer to when they happen, so you can make faster decisions. The freshness of your data is an important aspect of data quality.

For example, with a platform like Google Analytics 4, you wait up to 8 hours for your reports. And, you can expect sampling, which can hurt your reports.

In Piwik PRO you can count on data freshness every 2 hours. There is no sampling. In other words, even if your website records hundreds of millions of actions per month, you still have smooth access to complete and quality analytics data sets.


  • 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.