20 Power BI dashboard examples by department (2026)
Most "dashboard example" galleries are screenshots with no context, so you learn nothing you can reuse. This one is different. Below are 20 real Power BI examples, sorted by department, each with a note on what is worth copying, then six live dashboards you can click, followed by the main dashboard types, how to build one properly, and where a template beats custom work. If you only take one idea away, make it this: a dashboard is a decision tool, not a wall of charts.
On this page
What a Power BI dashboard actually is
A Power BI dashboard is a single interactive view that pulls your data into charts, tables and headline numbers you can filter and click into. The important word is interactive. Unlike a chart pasted into a slide, it sits on a live data model, so when the underlying data refreshes, the dashboard updates itself. Nobody re-exports anything.
People use "dashboard" loosely to mean any Power BI view, and that's fine. If you want the precise distinction between a dashboard and a report, I've written that up separately, but for the rest of this page I'll use the everyday meaning: one clear, refreshable screen that answers a question.
20 Power BI dashboard examples, by department
Some of these I built myself. Most are Microsoft's own sample reports, because they are free, they are real Power BI files you can download and open, and Microsoft refreshed several of them in 2026 with modern visuals and cleaner data models. Each card says where it comes from, and what is worth copying into your own report. Filter by department to find yours.
Business profit dashboard
Revenue, costs and profit for a small business, with quarter-by-quarter trends under three headline numbers.
Worth copying: Three KPIs, not thirteen. A leadership page should be readable in the ten seconds someone gives it before a meeting.
Corporate Spend
Planned versus actual spend by region, department and month, with the variances that need a conversation.
Worth copying: Conditional formatting that only colours the variances worth discussing, and field parameters so one visual can switch between measures.
Customer Profitability
Revenue, cost and margin per customer and segment, to find who is profitable and who only looks busy.
Worth copying: Margin per customer next to revenue per customer. Ranking by revenue alone hides the accounts that cost you money.
IT Spend Analysis
IT costs across projects, services and cost centres, built for budgeting and chargeback.
Worth copying: Plan against actual by cost centre. It is the same structure a finance team needs for any departmental budget.
Regional Sales
Revenue, pipeline and forecast by region and territory, with sales stages and geographic trends.
Worth copying: Page navigation buttons and a shape map, so a regional manager lands on their own patch in one click.
Revenue Opportunities
The open pipeline by stage and region, and which deals are worth prioritising this month.
Worth copying: A report page tooltip: hover a region and a small page of context appears, instead of yet another visual on the canvas.
Opportunity Analysis
Win rates, opportunity performance and salesperson effectiveness over time.
Worth copying: Win rate as a measure with a clear definition, so sales and finance stop arguing about which deals count.
Sales and Returns
Sales and product returns side by side, built as a showcase of report interactivity.
Worth copying: Buttons, drillthrough, a what-if parameter and custom tooltips in one file. A good place to learn the interactive features.
AdventureWorks Sales
The classic bike-shop sales model, refreshed in 2026 with a modern report design.
Worth copying: The date picker slicer for calendar, range and relative dates, which replaces a row of separate date filters.
Competitive Marketing Analysis
Sales, channels and product performance against competitors and market benchmarks.
Worth copying: The new card visual that groups several KPIs in one tile, instead of a row of separate cards that never line up.
Sales and Marketing
How campaigns feed the pipeline, conversions and revenue, with sales and marketing data in one model.
Worth copying: One shared model for both teams. Most marketing dashboards fail because they stop at clicks and never reach revenue.
Procurement Analysis
Purchasing activity, supplier performance and spend, to spot savings and supply risk.
Worth copying: Spend broken down by supplier and category on one page, which is usually where the first savings conversation starts.
Supplier Quality Analysis
Supplier defects, downtime and compliance, to decide which suppliers need attention.
Worth copying: Quality and cost on the same page. A cheap supplier with a high defect rate is rarely cheap.
Employee Hiring and History
Monthly hiring trends, tenure and a workforce matrix for HR planning.
Worth copying: Colour, line styles and custom tooltip text used to point at the trend that matters, rather than decorating every line.
Human Resources
Headcount, turnover, new hires and workforce distribution for HR reporting.
Worth copying: Turnover as a rate rather than a count, so a growing team does not look like it is losing more people than it is.
Store Sales
Store-level sales, product performance and trends for retail operations.
Worth copying: A phone layout designed on purpose. Store managers read this on a phone, not a 27-inch monitor.
Retail Analysis
Sales, stock and promotions across stores and categories.
Worth copying: This year against last year at store level, which separates real growth from a store that simply opened more days.
Artificial Intelligence
The AI visuals in one report: key influencers, the decomposition tree and anomaly detection on line charts.
Worth copying: Anomaly detection on a trend line. It flags the month worth asking about without anyone scanning every chart.
Personal finance and net worth
Income, spending, savings rate and net worth over time, for one household on one page.
Worth copying: Net worth first, detail below. Headline number on top and supporting detail underneath is an ordering I reuse in business dashboards too.
Debt payoff strategy
Every debt in one place, with snowball and avalanche strategies compared and a projected payoff date.
Worth copying: It computes a recommendation instead of listing balances. Once a page has to calculate an answer, everything rides on the model being right.
Microsoft samples: names and descriptions from Microsoft Learn, checked October 2026. The sample workbooks and data are provided by obviEnce ©. The "worth copying" notes are mine.
Six live dashboards you can click (web, not Power BI)
Screenshots only go so far. These six are working dashboards on sample data for made-up companies. They are built as web apps rather than in Power BI, but they use the same patterns: a headline number on top, a clear question per page, filters that change everything at once. Pick one, switch the period and hover the charts.
What makes a good Power BI dashboard
After 5+ years as a Power BI data and business analyst, I see the dashboards that succeed all share the same handful of traits, and the ones that get abandoned fail the same way. Here's the short version.
- It answers one question. Before any chart goes down, name the decision the page supports. "Are we on track to hit the quarter?" is a dashboard. "Show me everything about sales" is a data dump.
- The model is clean underneath. Trustworthy numbers come from a proper star schema and correct DAX, not from the visuals on top. This is the invisible 60% of the work.
- It uses restraint. A few well-chosen visuals beat every chart type Power BI offers. White space is a feature.
- Hierarchy is obvious. The most important number is the biggest and highest. The eye should know where to land without being told.
- It's honest. No dual axes that exaggerate a trend, no pie chart with eleven slices. If the design flatters the data, it's lying.
The test I use: if someone has to ask what a number means, the dashboard has failed, however good it looks. Clarity is the job.
The main types of Power BI dashboard
Most business dashboards fall into a few families. Each has its own conventions, so it's worth knowing which one you're building before you start.
Sales dashboard
Pipeline, revenue, win rates and rep performance, built to answer one question: are we going to hit target?
Guide coming soonKPI dashboard
A tight set of headline metrics against targets, for a leadership team that has ten seconds.
Guide coming soonFinancial dashboard
P&L, cashflow, budget vs actual and runway: the reporting backbone a finance team runs on.
Guide coming soonPower BI vs Tableau
Which tool wins on price, learning curve and visuals, and when Tableau is genuinely the better call.
Read the comparison →Excel or Power BI?
When a spreadsheet is genuinely enough, and the moment it starts costing you more than a dashboard would.
Read the comparison →How to build a Power BI dashboard
Here's the process end to end, the same one I use on client work. This is the shape of it.
- Define the decision. Write down the one question the dashboard must answer and who's asking it. Everything else follows from this.
- Connect and clean the data. Pull your sources into Power Query and fix the mess (types, duplicates, inconsistent labels) before you model anything. Rubbish in, rubbish on a nice chart.
- Build the data model. Arrange your tables into a star schema with facts in the middle and dimensions around them. This is what keeps the numbers fast and correct.
- Write the measures. Create your DAX measures for totals, comparisons and time intelligence. Test each one against a number you already trust.
- Design the page. Lead with the headline number, group related visuals, and cut anything that doesn't serve the decision. Restraint, again.
- Add interactivity and security. Slicers, drill-through, and, if different people should only see their own numbers, row-level security.
- Set up refresh and hand over. Schedule the refresh so it stays current on its own, then document it so the team can actually use it.
If it turns out slow when you're done, and that's a common surprise on a first build, the fix is almost always in the model rather than the visuals. I've written up the usual suspects behind a slow report and how to clear each one.
Templates vs custom: which do you need?
You don't always need a bespoke build. A well-made template gives you a working layout and data model to drop your own numbers into, which is perfect for common cases. Custom work earns its price when the data is the hard part.
| Start from a template if… | Go custom if… |
|---|---|
| Your data is fairly tidy and lives in one or two places | Your data is messy or spread across many sources |
| Your use case is common (finance, sales, KPIs) | You need automated refresh, security or bespoke logic |
| You want something working this week on a small budget | The dashboard is client-facing or business-critical |
If you're weighing the spend, what a dashboard actually costs breaks down every tier. Not sure which way to go? Tell me about your data and I'll give you a straight answer, even if the honest answer is "a template will do."
Frequently asked questions
What is a Power BI dashboard?
A single, interactive view that pulls data from one or more sources into charts, tables and KPIs you can filter and drill into. Because it sits on a live data model, it updates when the data refreshes, so the numbers are current rather than a snapshot pasted into a slide.
What makes a good Power BI dashboard?
It answers a specific decision on one screen, sits on a clean data model so the numbers are correct, and shows restraint: a few well-chosen visuals rather than everything at once. If someone has to ask what a number means, the dashboard has failed, however good it looks.
What's the difference between a dashboard and a report?
In everyday use, people say "dashboard" for any interactive Power BI view. Strictly, a report can be many pages built on a dataset, while a dashboard is a single pinned canvas in the Power BI service. What matters to most businesses is the outcome: one clear, refreshable view of the numbers behind a decision.
Can I start from a template instead of building from scratch?
Yes, and often you should. A well-built template gives you the layout and a working model to plug your numbers into. Go custom when your data is messy, spread across sources, or needs security and automated refresh.
Where can I download free Power BI dashboard examples?
Microsoft publishes free sample reports as .pbix files on Microsoft Learn and GitHub, covering sales, finance, HR, retail, procurement and AI visuals, and several were refreshed in 2026 with modern design and cleaner models. Open one in Power BI Desktop to see the model, the measures and the visuals together. The cards above link to each one.