You have an Excel file that works. Someone tells you that you should “move to Power BI”. You do not know whether that is real progress or just one more complication.
The honest answer: in many cases, Excel is enough. Moving to Power BI is justified by two or three precise criteria, not by a feeling of modernity. Here is where the line sits.
What Excel does very well
Excel is unbeatable on one point: fixing things fast. You open the file, you change a value, you see the result. A pivot table takes two minutes to build and answers a one-off question.
It is also a tool everyone already has, that nobody needs to learn, and that requires neither an extra licence nor sign-off from the IT department.
For a quarterly calculation, for a simulation, to check a figure before a meeting, Excel is the right tool. Replacing it would be a loss.
What Power BI does better
Power BI becomes worthwhile when several people need to look at the same figures, regularly, without having to rebuild them.
Three situations genuinely justify it:
- Your data comes from several sources (management software, accounting, point of sale, website) and you spend time reconciling it by hand.
- The same figures are requested every month, by the same people, with the same breakdowns.
- You need to filter and explore in front of someone: by customer, by product, by period, without rebuilding a file.
At a food industry SME I worked with, the need was exactly that. The sales manager wanted to show customers their own activity during meetings: filter on one customer, see the full year and then the year to date. In Excel, that meant preparing one file per customer. This is precisely the case where Power BI changes things.
The case where I got it wrong
Worth telling, because it is instructive. On that same assignment, I delivered a clean Power BI report that answered the stated need. A few weeks later, the user was still working in his pivot table.
The report was not bad. It simply did not fit the way he worked. He wanted to change a line live during a call, test a price, add a column. Power BI does not allow that, and rightly so: that is not its purpose.
The lesson fits in one sentence. The right tool is not the most powerful one, it is the one that fits into the routine of the person using it. A dashboard nobody opens is worth nothing, even when its figures are correct.
Four questions to decide
Who looks at these figures? One person who likes to tinker, stay on Excel. Several departments, Power BI.
How often? Once a quarter, Excel. Every week, Power BI pays for itself.
Where does the data come from? A single file, Excel. Three applications to reconcile, Power BI.
Do you need to explore, or only to read? Reading a fixed figure, Excel is enough. Filtering live in front of a customer, Power BI.
If you answer Power BI to two questions out of four, the change is justified.
What the change really costs
A detail that often surprises. On a ten-day assignment, building the Power BI reports took about three days. The rest went into framing the need, obtaining access to the data and writing the calculation rules.
In other words, the tool is not the issue. What takes time is agreeing on what you are counting and connecting the data properly. That is also what separates a reliable dashboard from beautiful charts with the wrong numbers.
If you switch, start small
I taught Excel and Power BI for two years to bachelor's and master's students. What held people back was never the tool, but the absence of clear rules: what exactly are we counting, from which source, and who decides when people disagree.
So start with a single indicator, the one you are asked for most often. Connect it once, properly. Check that it comes out right for a month. Add the next one only after that.
And keep Excel. The two coexist very well: Power BI for what everyone looks at, Excel for what you need to fix or simulate.
What about you?
If you are hesitating between the two, thirty minutes is enough to decide: you show me your file and who uses it, I tell you whether Power BI would bring you anything, or whether your Excel mainly needs to be made reliable.
Would you like to see what a dashboard looks like first? The example is online, with demo data.
Alexis Zueras, independent data analyst. I make your figures reliable and readable.