Business intelligence tools are evaluated on features and abandoned for other reasons. Six months after launch, the dashboards nobody opens outnumber the ones that changed a decision, and the licence renewal becomes an awkward conversation.
The strongest predictor of adoption is whether business users can answer their own follow-up question. A dashboard that shows last month's revenue is interesting once. A dashboard that lets someone break that revenue down by region without filing a ticket becomes part of how they work. Test this specifically during evaluation, with an actual business user rather than an analyst.
Licensing models differ enough to change the answer. Per-user pricing gets expensive when you want everyone to have access, which is usually the point. Capacity-based pricing is predictable but front-loaded. Open-source options such as Metabase and Superset remove the licence entirely and add hosting and maintenance, which is a real cost that is easy to leave out of the comparison.
Microsoft Power BI is often the default in organisations already on Microsoft 365, and the bundling makes it hard to beat on price. It is genuinely capable, and its weakest point is usually governance — the ease of creating reports means a proliferation of them, each with slightly different definitions.
That governance problem is the one to plan for. Metrics should be defined once, in the warehouse or a semantic layer, not redefined in each dashboard. Without that, the tool becomes an efficient way to generate disagreements about numbers.
Finally, check what happens when a query is slow. Some tools push computation down to the warehouse, some extract data into their own engine, and the difference shows up as either a large warehouse bill or a stale dashboard. Neither is wrong, but the choice should be deliberate rather than discovered.
