After delivering Power BI workshops to finance teams across Malaysia, I keep seeing the same five mistakes. Not because finance professionals aren't smart — they are — but because Power BI was built for business intelligence teams, not finance analysts. The thinking is slightly different.
Here is what I see most often, and what to do instead.
1. Building reports before cleaning the data
Most teams connect Power BI directly to their GL export and start building visuals immediately. The report looks fine until someone notices the account codes are inconsistent, or last year's chart of accounts doesn't match this year's.
Fix: Spend time in Power Query first. Clean, validate, and structure your data before you build a single visual. A clean data model takes an afternoon to set up and saves you hours of rework every month-end.
2. Writing measures as calculated columns
Calculated columns are computed row by row and stored in the model. Measures are computed at query time, based on the filter context. For finance reporting — where you constantly slice by entity, period, cost centre — measures are almost always what you want.
Fix: Understand filter context before you write DAX. Ask yourself: "Does this calculation depend on the row I'm on, or on what the user has filtered?" If it's the second, it's a measure.
3. Using the wrong visual for financial comparisons
Bar charts for budget vs actual. Line charts for trends. Tables for detailed trial balances. I see finance teams use pie charts for profit breakdowns (don't — the slices are unreadable past five segments) and waterfall charts without a clean data structure underneath them.
Fix: Match the visual to the comparison. Budget vs actual → bar chart or bullet chart. Trend over time → line chart. Variance by cost centre → sorted horizontal bar. Cumulative cash flow → area chart.
4. Showing too much data to decision-makers
The CFO does not need 47 pages. They need five: P&L summary, balance sheet highlights, cash flow, top variances, and a forward view. Everything else is supporting detail that should be one click away, not on the first screen.
Fix: Design for the reader's job, not for your data. Ask: "What decision does this person need to make?" Then show only what feeds that decision. Use drill-through pages for the detail.
5. Not thinking about who updates the report
A beautiful Power BI report that only you can refresh is a liability, not an asset. When you are on leave, or when you move on, someone else needs to keep it running.
Fix: Document your Power Query steps with clear step names (not "Changed Type1", "Changed Type2"). Parameterise your data source paths. Write a one-page refresh guide. Treat the report like a system, not a one-time project.
These five fixes come up in every Power BI Financial Dashboards workshop I run. If your team is building dashboards but struggling to turn them into reports the CFO actually reads, get in touch about an in-house workshop.