Your dashboard works and answers plenty of recurring questions. But good insights also raise new, more specific ones. Before long, the IT or data team receives requests for extra pages or reports. Or someone carries on in Excel. The need for more insight ends up causing duplicate work, delays and less oversight.
A good Power BI report gives everyone the same starting point. KPIs, definitions, trends and exceptions come together in one familiar view. That covers many recurring questions. Yet not every new business question can or should be built into a dashboard in advance.
As soon as someone wants to dig deeper, there are usually two routes. The IT or data team gets a new request, or the analysis moves to Excel. The first route keeps filling reports with unnecessary content. The second takes a lot of time, often stays out of sight of others and has to be redone for the next report. AI opens up a third route: analyse directly from the same data and definitions, without turning every question into a dashboard.
In this webinar, we show how data visualisation and AI together make that third route possible. We start with the bigger picture: what role will dashboards keep, and where does AI add value? This makes clear why the question is never Power BI or AI, but how you use them together.
Then we make it practical. You’ll see how to connect AI to your business data, how to ask focused questions you can verify, and what it takes to trust the answers you get. So you can get started right after the session.
We look at every topic from two angles: the end user who wants to analyse independently, and the developer who wants to stay in control of data, definitions and access.