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Power BI, Tableau or Qlik: which do you choose?
If your organisation already runs on Microsoft, Power BI is in practice the cheapest and best-fitting choice: licensing, permissions and storage are already in place. The differences in capability between the tools are smaller than the differences in what you already manage. And the model underneath matters more than the choice itself.
What the choice is really about
- What does your organisation already manage? Permissions, sign-in and storage only need setting up once.
- Who will maintain it? A tool nobody in-house works with is a problem in two years.
- Where does your data live? The distance between source and reporting layer decides more of the speed than the tool does.
- How many people will look? That drives the licence form, and with it most of the cost. See which licence you need.
Why the tool is rarely the bottleneck
Dashboard projects rarely fail on what the tool can do. They fail on definitions that were never agreed, on data that does not hold, and on a model that does not grow with the business. All three show up identically in every tool.
Half an hour is enough to know whether we fit
No slide deck and no quote at the end. We walk through your sources, your definitions and your biggest frustration.
Book half an hourFrequently asked questions
Power BI, Tableau or Qlik: which do you choose?
For an organisation already running on Microsoft, Power BI is in practice the cheapest and best-fitting choice, because the licensing, the permissions and the storage are already there. The differences in capability between the tools are smaller than the differences in what your organisation already manages.
Does the tool choice change the outcome much?
Less than people think. A good model in a mediocre tool beats a poor model in the best tool. Most dashboard projects do not fail on the tool but on definitions that were never agreed and data that does not hold.
When is Power BI not the best choice?
If your organisation has no Microsoft environment and is not going to get one, or if you have a very specific visualisation need that is standard elsewhere. Then the convenience of the existing environment does not outweigh managing a separate chain.
Can you switch later?
Switching reporting tools is possible, provided your logic does not live inside the report. If the definitions and the data layer stand apart, you rebuild the visualisation and keep the meaning. If everything sits in the report file, you start over.
Do you advise if we have nothing yet?
Yes. In half an hour we walk through your sources, what you want to know and what already exists. That tells you whether you need a dashboard, the layer underneath, or first an agreement on definitions.