10 Power BI Dashboard Examples for Business Teams

What a Power BI dashboard is, and what makes one good

In Power BI, a report is a set of pages you build in Power BI Desktop. A dashboard is a single canvas of tiles pinned from those reports in the Power BI service. In everyday speech people call both a dashboard, and this guide does too.

A good dashboard passes a simple test. A new viewer should understand the main message within about five seconds, and know what to do next. That means a clear question, a handful of numbers that matter, one or two charts that show direction and a way to click into the cause when something looks wrong.

Microsoft also publishes built-in sample reports, including a Sales and Marketing sample, which are useful to explore before you build your own. The ten examples below show what to put on screen for common business needs.

10 Power BI dashboard examples for business teams

These professional Power BI dashboard examples include a Power BI sales dashboard, a Power BI financial dashboard, a Power BI HR dashboard and KPI Power BI dashboard examples for executives. Each one lists the question it answers, the visuals that work best and the data it usually needs. You can build any of them with Power BI Desktop and a connection to your own systems.

1. Sales performance dashboard

Question: Are we on track to hit our target, and where is the pipeline weak?

Visuals: Cards for revenue, target and gap. A line chart of revenue by month against last year. A funnel of deals by stage. A bar chart of top accounts and reps. A map or matrix by region.

Data: Your CRM, plus a target table from finance. If your CRM and ERP are separate, our guide to CRM and ERP integration shows how to link them.

Choose it if sales leaders review the pipeline weekly. Watch for stale CRM data. A dashboard is only as honest as the records behind it.

2. Marketing performance dashboard

Question: Which channels bring leads and customers at a cost we can afford?

Visuals: Cards for spend, leads and cost per lead. A stacked bar of leads by channel. A trend line of spend against leads. A table of campaigns with return on ad spend.

Data: Ad platforms, web analytics and your CRM. Our guide to the most important metrics in Google Analytics helps you pick the web numbers.

Choose it if you run several channels and need one view. Watch for mixing attribution methods. Use one rule and state it on the page.

3. Financial dashboard

Question: Is cash healthy, and are we on budget?

Visuals: Cards for revenue, gross margin, operating cash and runway. A waterfall chart for profit. A bar chart of budget against actual by department. A table of overdue receivables.

Data: Your accounting system. See our financial dashboard examples for more layouts.

Choose it if finance reports to leadership monthly. Watch for late closes. Show the date of the last update on the page.

4. Executive scorecard

Question: How is the whole business doing against its goals?

Visuals: Six to eight cards, one for each company goal, each with a trend and a red, amber or green status. A short list of exceptions below.

Data: A few metrics from sales, finance, operations and customers. Our executive dashboard examples show how to choose them.

Choose it if leaders want one page for the weekly meeting. Watch for too many cards. Pick the numbers the team will act on.

5. Online store dashboard

Question: How are sales, conversion and repeat purchases trending?

Visuals: Cards for orders, average order value and conversion rate. A line chart of revenue by day. A bar chart of top products. A cohort table for repeat customers.

Data: Your store platform and web analytics. If you sell on Shopify, our Shopify development services team can connect store data to Power BI.

Choose it if you sell online and want more than the built-in reports. Watch for mismatched numbers between tools. Define sales, refunds and returns once.

6. Inventory and supply chain dashboard

Question: What will we run out of, and what is sitting too long?

Visuals: Cards for stock value, days of supply and stockouts. A bar chart of items by stock status. A table of slow movers. A line chart of supplier on-time delivery.

Data: Your ERP or inventory system. See our guide to ERP system examples if you are choosing one.

Choose it if stock levels drive sales or cash. Watch for averages that hide problems. Show the worst items, not only the overall number.

7. HR and workforce dashboard

Question: Are we hiring fast enough, and who is leaving?

Visuals: Cards for headcount, open roles and attrition rate. A line chart of hires and exits by month. A bar chart of time to hire by department. A table of absence trends.

Data: Your HR system. Limit access to people who need it, because this data is personal.

Choose it if HR reports to leadership on a regular cycle. Watch for privacy. Use row-level security so people see only their own area.

8. Customer service dashboard

Question: Are customers getting fast, good answers?

Visuals: Cards for open tickets, first response time and resolution time. A line chart of volume by day. A bar chart of tickets by topic. A satisfaction score trend.

Data: Your help desk. Our guide to how AI impacts customer service shows where automation can lower the load.

Choose it if support volume is growing. Watch for chasing speed alone. Pair response time with satisfaction.

9. Project delivery dashboard

Question: Are projects on time and on budget?

Visuals: A table of projects with a status color. A bar chart of budget against actual. A burn-down chart of remaining work. A list of top risks and blocked tasks.

Data: Your project tool and time tracking.

Choose it if you run many projects at once. Watch for subjective status. Base the color on rules, such as days late.

10. Operations and production dashboard

Question: Are we producing what we planned, with the quality we expect?

Visuals: Cards for output, yield and downtime. A line chart of output against plan by shift. A bar chart of defects by cause. A table of machines or lines with alerts.

Data: Production systems, spreadsheets or sensors. If the data lives in several places, a data model that joins them is the first job.

Choose it if you run production, logistics or field work. Watch for slow refresh. Decide how fresh the numbers must be before you build.

Power BI dashboard examples at a glance

Power BI dashboard design rules that get dashboards used

• Start with the question, then pick the visuals. Do not start with a chart type.
• Show comparisons. A number alone means little. Add a target, last period or last year.
• Use one color for meaning. Reserve red and green for status, so they stand out.
• Limit each page to about six to eight visuals, and use drill-through for detail.
• Label units and dates. Show the last refresh time so viewers trust the numbers.
• Design for the screen it will be seen on. Check the phone layout if executives read on mobile.
• Remove what nobody uses. Review usage every quarter and drop unused pages.

Most dashboards fail for three reasons: nobody agreed on the question, the data is unreliable, or the page is too crowded to read. Fix those before you polish colors.

What Power BI costs, in short

Power BI Desktop is free and lets one person build and view reports on their own machine. To share dashboards with colleagues, you need a paid license. Third-party sources report Power BI Pro at $14 per user per month and Premium Per User at $24, after a 2025 increase from $10 and $20, and note that viewers generally need a license too unless you buy capacity. Pro is reported to allow eight scheduled refreshes a day.

Prices and limits change, so confirm them on Microsoft’s pricing page before you plan a rollout.

How to build your first Power BI dashboard in 6 steps

1. Write the question and the audience. “Which products are low on stock?” for the operations manager.
2. List the five to eight measures that answer it. Define each one in a sentence.
3. Connect and clean the data. Pull from the source system, fix dates and names, and remove duplicates.
4. Build a simple data model. Link tables such as customers, products and dates, so numbers add up correctly.
5. Create the visuals and test them. Check totals against a report you already trust.
6. Publish, set a refresh and ask for feedback. Review it with real users after two weeks and adjust.

If your data is scattered or you want predictions, our predictive analytics services and AI automation teams can add forecasts and alerts on top of your dashboards.

Frequently Asked Questions

Where can I find free Power BI templates?

Power BI includes sample reports you can open and explore, and many community sites share free template files. Check the license of any template, remove sample data before you share it and rebuild the data connections to your own sources.

What is the 5 second rule for dashboards?

It says a viewer should grasp the main message of a dashboard within about five seconds. To meet it, put the headline numbers at the top, use clear labels and remove anything that does not support the main question.

Is Power BI outdated?

No. Power BI is actively developed and sits inside Microsoft’s wider data platform. Whether it is the right choice depends on your data sources, budget and skills, so compare it with other tools on your own use case.

What are the four types of dashboards?

The four common types are strategic dashboards for leaders, operational dashboards for day-to-day monitoring, analytical dashboards for deeper exploration and tactical dashboards that track progress on projects or campaigns. A single tool can build all four.

Which tool is best for dashboards?

It depends on your data and team. Power BI suits Microsoft-heavy companies, Tableau and Looker Studio are common alternatives, and some teams use built-in reports. Choose by data sources, cost per viewer and who will maintain it.

Are dashboards outdated?

Dashboards are not outdated, but poorly designed ones are. Teams still need a shared view of key numbers. The trend is toward shorter, question-led dashboards with alerts and, increasingly, plain-language search on top of the data.

What should a good dashboard look like?

A good dashboard has a clear title and question, a few headline numbers with targets, one or two trend charts and a way to drill into the detail. It uses consistent colors, shows the last update time and avoids clutter.

Why do most dashboards fail?

Most fail because the question was unclear, the data is unreliable or the page is too crowded. They also fail when nobody owns them. Name an owner, agree on definitions and remove pages that nobody opens.

Is Power BI free?

Power BI Desktop is free for building reports on your own machine. Sharing dashboards with others requires a paid license such as Pro, or a capacity plan for larger deployments. Check Microsoft’s pricing page for current prices.

How long does it take to build a Power BI dashboard?

A simple dashboard on clean data can take a few days. Most of the time goes into agreeing on the question, cleaning data and checking numbers, not into drawing charts. Complex models across several systems take longer.

Bottom Line

The best Power BI dashboards are simple. Pick one question, show a few numbers with a target and a trend, and make sure the data behind them is trusted. Start with the example closest to your biggest decision, then expand.

If you want a team to build and maintain dashboards on your own systems, explore our business intelligence dashboard services.

Hardik Surana

Customer Success Manager

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As a Customer Success Manager, I specialize in bridging the gap between structured execution and long-term strategic growth. Drawing on my extensive background in traditional project management and account oversight, I ensure our clients don't just hit milestones, but achieve measurable business outcomes. My approach is rooted in providing a seamless transition from implementation to partnership, leveraging my technical discipline to anticipate challenges before they arise. I am committed to acting as a dedicated advocate for my customers, turning complex requirements into streamlined paths for success. By blending operational rigor with a relationship-first mindset, I focus on driving the continuous value that keeps our partners thriving.