Ask a finance team which tool they use for reporting and the answer is almost always Excel. Ask how long the month-end management pack takes and the answer is often "three days", most of it spent copying, pasting and checking. Power BI promises to fix that, but it is not a replacement for Excel. The real question is which job each tool should do.
What Excel is best at
Excel remains the best tool for:
- Financial models. Three-statement models, valuations, budgets and scenario analysis need the cell-level flexibility of a spreadsheet.
- One-off analysis. When a manager asks a question on Tuesday afternoon, Excel is still the fastest way to answer it.
- Working papers. Reconciliations and audit schedules where every number must be traceable.
Modern Excel is also more powerful than many users realise. Power Query can clean and combine data automatically, dynamic arrays replace many complicated formulas, and PivotTables built on the Data Model can handle far more rows than a normal worksheet.
What Power BI is best at
Power BI shines when the same report must be produced again and again for many people:
- Monthly management packs. Connect to the trial balance and budget once, then refresh instead of rebuilding.
- Dashboards for managers. Department heads can filter to their own cost centres without asking finance for another version.
- Large volumes. Millions of transactions are handled comfortably.
- Security. Row-level security means each manager only sees their own numbers from a single report.
The real comparison
| Need | Better choice |
|---|---|
| Three-statement model or valuation | Excel |
| Monthly income statement by cost centre | Power BI |
| Quick answer to an ad-hoc question | Excel |
| Interactive dashboard for 30 managers | Power BI |
| Budget input from department heads | Excel (or a planning tool) |
| Actual versus budget with drill-down | Power BI |
Most effective finance teams use both: Excel for modelling and analysis, Power BI for recurring reporting.
Shared skills make the move easier
Excel's Power Query and Data Model are the same engine that sits inside Power BI. An accountant who has learnt to clean data with Power Query and write simple DAX measures in Excel is already halfway to Power BI. That is why we recommend this path:
- Strengthen Excel fundamentals: lookups, PivotTables, dynamic arrays and Power Query.
- Learn data modelling: fact and dimension tables, date tables and relationships.
- Build a finance report in Power BI: actual versus budget, year-to-date and prior-year comparisons.
- Optional certification: the Microsoft Power BI Data Analyst exam (PL-300) is a good way to prove these skills, especially for analysts moving into FP&A or BI roles.
A quick win to try this month
Pick one report that you rebuild every month. Import its source data with Power Query instead of copying it, and note how long the next month's refresh takes. Most teams find that this single change saves hours, and it is the first step towards a Power BI reporting pack.
Courses that help
- Advanced Excel for Analysts for Power Query, the Data Model and dynamic arrays.
- Power BI for Finance Professionals for a complete finance reporting pack.
- Power BI Data Analyst (PL-300) Exam Preparation if you want the Microsoft certification.
Microsoft, Excel and Power BI are trademarks of the Microsoft group of companies. Afriskora is not affiliated with Microsoft.