Power BI vs Excel: which does your business need?
I build both, so I've no reason to talk you into the more expensive one. Here's the honest version — when Excel is genuinely the right answer, and when Power BI earns its keep.
This isn't really a competition
Power BI gets marketed as the grown-up upgrade from Excel, and sometimes it is. But I've seen plenty of businesses pushed into a Power BI build that a well-structured Excel workbook would have done just as well, at a fraction of the ongoing cost. I'd rather tell you that up front than build the more expensive option and let you find out later.
The honest position: they solve different problems, and the right tool depends on who's reading the report, how often the data changes, and who has to look after it once it's built — not on which tool sounds more modern.
The comparison, factor by factor
| Factor | Excel usually wins when… | Power BI earns its keep when… |
|---|---|---|
| Number of readers | It's one person, or a handful who already have the file | Several people, across teams, need their own filtered view |
| Refresh frequency | Monthly or less, or updated by hand when needed | Daily, weekly, or on a schedule with no one touching it |
| Data volume | Comfortably fits on a worksheet without lag | Large enough that Excel starts to slow down or hit row limits |
| Who maintains it | The person using it can also edit the formulas | A separate model needs to be maintained centrally, once, for everyone |
| Licensing | Already covered by the Microsoft 365 licence you have | You've budgeted for the per-reader or per-capacity licence it needs |
| Sharing | Emailing or saving a file is genuinely fine for this audience | People need to open a live view rather than a static copy |
| Version control | One current file, one owner, low risk of conflicting copies | Several editors, or history of the same file with different formulas |
When Excel is genuinely the better answer
Excel is still the right tool more often than the marketing suggests. It wins when the report is used by one or two people who understand it, updated less than daily, and small enough that formulas calculate instantly. A well-built workbook — clean formulas, a documented structure, a totals row that reconciles — can do everything a small business actually needs from a report, without adding a licence cost or a second piece of software to learn.
It's also the right answer when the report needs to be edited by the person reading it. If someone routinely wants to add a column, test a scenario, or drop in a note next to a figure, that's Excel's home ground — Power BI reports are built to be viewed and filtered, not edited on the fly by whoever's looking at them.
When Power BI earns its licence cost
Power BI starts to earn the extra cost once a report needs to serve more than a handful of people, each wanting their own slice of the same underlying numbers — one region's manager filtering to their region, another to theirs, without either of them needing their own copy of a spreadsheet. It also earns its keep once refreshing the report by hand becomes the bottleneck: a model connected directly to your data sources can refresh on a schedule with nobody touching it, which a manually updated spreadsheet can't do on its own.
Large or fast-growing datasets are the other trigger. Once a workbook is slow to open, recalculates for several seconds after every change, or is bumping into row limits, that's usually the point where a proper data model — built for volume — starts to pay for itself in time saved rather than time lost waiting for it to catch up.
Bear in mind that Power BI reports are usually viewed rather than edited by most of the audience, and viewing them beyond a small circle typically needs a licence — either per person or through a shared capacity — on top of whatever you already pay for Microsoft 365. That's a real, ongoing cost, and it should be weighed against what it replaces before committing to it.
The "both" answer
A lot of businesses end up using both, and that's not a compromise — it's often the right structure. Power BI can hold the live, shared model that several people filter and explore day to day, while Excel still does the jobs it's genuinely better at: a one-off analysis, a working model someone needs to edit directly, or a simple export for someone outside the business who just needs the figures, not the tool.
The two aren't in competition for the same job. The question worth asking isn't "which is better", it's "which job is this, and who's doing it."
A quick self-check
If you want a rough steer before talking to anyone, three questions cover most of the decision. First: does more than one person need to filter the same report to their own slice of it, rather than everyone reading the same fixed view? Second: does the report need to refresh itself on a schedule, or is updating it by hand, occasionally, genuinely fine? Third: is anyone actually willing to pay an ongoing licence cost for the convenience, on top of what you already spend on Microsoft 365?
Answer "no" to most of those and Excel is very likely the right call, at least for now — it can always be revisited later if the report's audience or data volume outgrows it. Answer "yes" to most of them and Power BI is probably worth the cost, because what it buys — a live, shared, self-filtering model — is exactly what those answers describe needing.
What this means for you
If you're not sure which side of this your own reporting falls on, that's a perfectly normal place to start from — most people building a report for the first time haven't had to think about it before. Tell me who reads it, how often it changes, and how big the underlying data is, and I'll give you a straight answer, including telling you if Excel is genuinely the cheaper and better fit.
Get in touch via the contact page, or look at Power BI reports and Excel reporting to see what each looks like in practice.
Tell me the job, and I'll tell you the tool.
Describe who reads the report and how it's used today — I'll say honestly whether Power BI is worth it or whether Excel would do the job just as well.