The more I work with Power BI and dive into community articles, the more I notice a gap. There are certain small, practical techniques that have made a huge difference in my day to day work, yet they rarely seem to be mentioned. These aren’t advanced tricks or hidden features – they’re simple, effective changes that I think deserve a spotlight. So here’s my take on the tools and approaches that have helped me the most.
When I first started working with Power BI, version control was… well, let’s just say it wasn’t ideal. My workflow consisted of saving files as V1, V1_final, V1_final_final, and so on. There was no Git integration, no pull requests, and no practical way to collaborate or track changes-just binary .pbix files that couldn’t be meaningfully compared.
PBIP + Git: Smarter Collaboration
That’s changed.
With the introduction of PBIP (Power BI Project) and PBIR (Power BI enhanced report format), it’s now possible to break down a report into readable, text-based components- like measures, tables, and metadata- stored as individual files. This means your work can live comfortably in a Git repository, making pull requests, change tracking, and team collaboration not only possible, but efficient.
Microsoft has officially backed this approach, and with Azure DevOps or GitHub integration, you can push changes directly to your repo, sync with your Power BI workspace, and use a standard Git flow in your BI projects. No more final_final_FINAL.pbix madness- just clean, manageable, trackable development.
Write Once, Use Everywhere: M Code Reuse
In the early days of building Power BI dashboards, I found myself repeatedly jumping through the same hoops- especially when switching environments. Every time I deployed a report, I had to manually change the database connection string in multiple queries. It was tedious, error-prone, and far from scalable.
Eventually, I discovered parameters, and it was like turning on the lights. By using parameters for things like server name, database, and schema, I could switch environments in seconds rather than minutes. But that was just the beginning.
What really unlocked productivity was realizing how much of the M code behind my queries was identical- except for a single table name. Instead of clicking through the UI to create new connections each time, I began reusing a base query that included the core connection logic, and simply referenced it with the table name as a variable. This made adding new data sources dramatically faster.
Reusing of connection and duplicating it – DRY!
By structuring your queries this way:
- You write your connection logic once.
- Any future changes (host, schema, credentials) only need to be made in one place.
- Your queries stay DRY (Don’t Repeat Yourself), and far easier to maintain.
This approach has become our team’s standard. It not only reduces the risk of inconsistencies, but also makes on-boarding smoother- new team members don’t have to figure out where and how connections are defined across multiple queries.
Power BI’s UI is great, but when you start working at scale, using the power of M code can make a huge difference. Reusing logic and parameterizing your inputs helps you build cleaner, more flexible reports – faster.
Familiar UI = Better Dashboards
Power BI gives us a rich toolbox for building interactive, visually engaging dashboards- but that doesn’t mean we should reinvent the wheel every time. One of the most effective ways to improve usability is by designing reports that feel familiar to users. The less time people spend figuring out how to use the dashboard, the more time they spend getting value from it.
Think about how users interact with apps and websites every day. They expect things like collapsible menus, tabbed navigation, modal pop-ups, and toggle switches. These patterns are part of their digital muscle memory- so why not bring those same experiences into Power BI?
That’s where bookmarks become an essential tool. With bookmarks and buttons, you can replicate familiar interactions:
- Switch between views (e.g., summary vs. detail)
- Expand or collapse panels
- Simulate tabs or step-by-step flows
Using these patterns not only improves the user experience- it makes your reports feel intuitive, even for first-time users.
To take it a step further, consider creating standard layout templates or a design system your team can reuse across reports. Consistency in layout, colors, filters, and interaction patterns helps users adapt faster, especially in organizations where multiple teams build dashboards.
Remember: good design isn’t just about looking polished- it’s about helping users access insights without friction. If a user knows where to look, how to interact, and what to expect, they’ll trust the report more and get value from it faster.
Flexible Dashboards for Different Preferences
Not all users are the same- and neither are their preferences when it comes to consuming data. Some users feel most comfortable with detailed tables, while others prefer charts or summaries. One person might want numbers rounded to thousands, while another insists on seeing every decimal. Some want the big picture, others want precise control.
As dashboard creators, it’s our job to support all of them.
Trying to show everything to everyone at once often leads to cluttered, overwhelming reports. Instead, Power BI gives us powerful tools like bookmarks, parameters, and even personalized visuals to create dashboards that adapt to different user needs- without duplicating pages or visuals unnecessarily.
For example:
- Bookmarks can toggle between different layouts, such as a chart view and a table view.
- Field parameters can allow users to select which metric or dimension to analyze.
- Personalized visuals (for advanced users) let individuals adjust visual formatting to suit their own preferences.
These features empower users to control what they see and how they see it- without losing sight of the story you’re telling. It also means you can maintain a clean, focused design while offering flexibility under the hood.
User-centric design isn’t just about making things look good- it’s about meeting people where they are and giving them tools that work for them. A little flexibility can go a long way toward making dashboards not only more useful, but more impactful.
Slightly enhanced Microsoft report. Now it allows users to control what and how they consume
Wrapping It Up
Power BI is a powerful tool that constantly evolves, offering solutions to challenges we may not have even recognized. However, with its vast array of features, it’s easy to overlook key functionalities that can significantly enhance our workflow. By leveraging version control, parameterized connections, reusable design principles, and efficient SQL practices, we can streamline development, improve collaboration, and create more user-friendly reports.
May the DAX be with you!
