Blog | 23 April 2026
Sitevision launches AI-driven analytics assistant – makes advanced analytics accessible to more people
We are now introducing the analytics assistant which, with the help of AI, makes it easy to understand and act on data directly in the editorial experience. By moving analytics from external tools to where the work actually happens, data-driven decisions become a natural part of everyday work, without requiring specialist expertise.
Organisations today collect large volumes of data about how their digital services are used. At the same time, analytics is often perceived as complex, time-consuming and dependent on specialist expertise – which means it is rarely fully used in everyday work.
With the AI analytics assistant, we are changing this. Instead of analysing data in external dashboards, analytics is moved directly into the editorial experience. By integrating AI with Sitevision Web Analytics, which can be powered by for example Piwik PRO, users can ask questions in natural language and receive clear answers, explanations and recommendations based on real user behaviour.
– The goal is to make analytics accessible to more people and a natural part of everyday work. We want to help our customers not only collect data, but actually understand what drives results and how they can improve their digital experiences, says Andreas Astlind, Product Manager Customer Experience at Sitevision.
From numbers to concrete decisions
The analytics assistant represents a clear shift in how organisations work with data:
- from expert-driven analytics to enabling more people to work data-driven
- from reports after the fact to decisions in everyday work
- from numbers alone to concrete recommendations and next steps
Traditional web analytics often stops at clicks and traffic. The analytics assistant helps users understand why it happens and what they should do about it. It interprets complex data and turns it into actionable insights. This makes it easier to understand what is happening, why it matters and what should be done next.
It is about understanding what drives conversions and completed tasks, how users move through key flows and where friction occurs. The result is that more people, regardless of role or background, can work more data-driven and make well-informed decisions, without relying on specialist expertise.
Do you want to know more about the analytics assistant?
Andreas Astlind, Product Manager Customer Experience
