How to Get Started with Power BI Dashboards: A Four-Step Path to Early Wins

The fastest way to build momentum with data analytics is to get a working dashboard in front of the right stakeholders quickly, learn from it, and iterate. Blue Margin CEO Brick Thompson and VP of Delivery Operations Caleb Ochs walk through exactly how to do that in the podcast episode below. The four steps they outline apply whether you are building your first Power BI dashboard internally or evaluating whether to bring in an outside partner.

Step 1: Download Power BI Desktop

Power BI Desktop is a free download from powerbi.microsoft.com and is the lowest barrier entry point for anyone looking to start building BI reports. Microsoft offers free training resources and maintains an active Power BI community with documentation, templates, and support for every skill level.

If the person tasked with building dashboards already works in Excel regularly, the transition to Power BI is manageable. The code language Power BI uses for calculations, called DAX, follows a logic similar to Excel formulas and can be picked up through self-study. It is not a small learning curve, but it is approachable for someone who already thinks in spreadsheet terms. If your team is weighing whether Power BI is the right step from Excel, that article covers the tradeoffs directly.

Step 2: Connect Power BI to Your Data Sources

Through Power Query, the data extraction layer built into Power BI, you can connect directly to Excel files, databases, and software systems including Salesforce, NetSuite, and virtually any platform that exposes an API. The most important decision at this stage is which data source is most likely to have the biggest impact on your business. Start there rather than trying to connect everything at once. A focused first report built on one clean data source is far more useful than an ambitious build that stalls waiting for every system to be integrated. This is also why a managed data foundation matters so much as reporting scales: the more sources you add, the more important it becomes to have a reliable, maintained connection layer underneath.

Here is a useful Power BI tutorial for beginners from DataCamp that covers the basics of connecting to data and building your first report.

Step 3: Define the Business Need Before You Build

Before building any report, be specific about the business outcome you want to improve and the stakeholders accountable for performance toward that goal. Vague goals produce vague dashboards. A goal like “increase employee utilization by 2%” or “reduce cost per sales lead by 15%” gives you something concrete enough to design around. Once the goal is set, work backwards to identify the leading indicators that will tell stakeholders whether they are on track and what they can do to improve.

The best dashboards do not just show whether a metric is off track. They let users drill into why. If expenses are up 15% from last month, the next question is which location, which accounts, and which transactions are driving it. A report that anticipates that natural line of questioning and answers it in sequence is the kind that gets checked daily rather than opened once. This discovery and storyboarding work is also the core of a good wireframing process, and investing time there before building prevents the iterative rework that slows most BI projects down.

Step 4: Publish, Test, and Iterate

Once the report is built, publish it to Power BI Service so all stakeholders can access it from any device. Power BI Service is available per user per month at a nominal cost, making shared access straightforward even for small teams.

Give stakeholders three to five days to use the report in their actual day-to-day work before asking for feedback. This user acceptance testing phase consistently surfaces requirements that never came up during the initial design conversation. People discover what they actually need once they are using a report for real decisions rather than reviewing a mockup. Incorporate that feedback into a second iteration and the report tends to land in a much stronger place than the first build alone would have reached. Designing for adoption from the start shortens how many iterations are needed to get there.

When to Bring in an Outside Partner

Not every organization has the internal capacity to build and maintain Power BI reporting, and for companies with limited data engineering resources, an outside partner can shorten the path to working dashboards considerably. The most important thing to look for in a partner is someone who will take time to understand your business from the inside before recommending a solution, rather than simply building whatever is requested. A partner who challenges your assumptions to make sure the dashboard you are asking for is actually the dashboard you need is worth more than one who is fast at order-taking.

A few things worth screening for when evaluating vendors: a firm that insists on an elaborate back-end build before any reporting can begin is likely to delay your first win significantly, and early wins matter for building internal confidence in the BI investment. A vendor who is primarily a reseller for a specific technology may also be steering you toward a solution that serves their margin rather than your problem. Microsoft maintains a Power BI partner directory where Blue Margin is listed as a Microsoft Partner for both data engineering and dashboard development.

If you are weighing whether to build internally or bring in support, talk to one of our experts about where your team currently is and what the fastest path to a working dashboard looks like from there.