Meet the judges of the four qualifying rounds of the 2025 Power BI DataViz World Championships: Andrei Khaidarov, Elena Drakulevska, and Shannon Lindsay.

Data protection is very important in today's data-driven environment. To achieve this,  organizations must apply specific policies and restrictions to maintain data integrity and confidentiality. In Power BI, we have data protection policies like sensitivity labels which allow organizations to classify and secure data in alignment with their company policies.These labels ensure that data is appropriately governed, controlled, and handled with care throughout its lifecycle. In this blog we will discuss on how Power BI’s data protection policies, like sensitivity labels, can help organizations meet their security needs while enabling efficient and responsible data collaboration

This article walks you through the submission process.

Did you know you can supercharge Power BI by integrating Python with Power Query? Imagine having customer reviews in multiple languages and needing to detect them automatically. While Power Query offers great features, it's Python that provides the ultimate solution for this task!

Organizations often juggle vast amounts of Power BI content - reports, dashboards, datasets designed for sharing and reuse. With so much content available, how do users pinpoint trustworthy, high-quality resources? That’s where endorsement comes into play. This feature helps streamline the process by marking specific Power BI content as reliable and authoritative. These blog provides the closer look at how Power BI content can be certified and endorsed for building trust and fostering in smarter decision-making.

In this blog we will go through an issue I had with a table and I needed to exclude it from the report refresh so that the report could refresh normally for the other tables until the issue was fixed on the backend.

Since I didn’t have the SQL credentials, I had to exclude it from the report refresh without using Power Query, as that would require credentials.

Luckily, I was able to do this using the TMDL view introduced in the January 2025 update. Here’s how:

Welcome to the first week of the qualifying rounds for the Power BI DataViz World Championships! Read on to learn what the featured data is for the week, the requirements for your build, and how to submit.

You ask, we answer! This is a list of some of the frequently asked questions about the upcoming Power BI DataViz World Championships.

How can we use variables effectively while creating custom columns in Power Query?

In this blog, we will explore how to make your Power BI report publicly accessible and embed it on a web page using Power BI’s Publish to Web feature.

In this blog, we’ll explore how to use the NETWORKDAYS DAX function in Power BI to calculate the number of working days between two dates, excluding weekends and optionally specified holidays.

Simplify your data models and reduce redundancy in Microsoft Fabric by using a bridge table—a lightweight connector that links multiple fact tables without duplicating dimensions. Learn how to implement this powerful technique in Lakehouse and Power BI for improved performance and scalability.

Discover how Power BI Copilot is revolutionizing the way businesses gain insights and make informed decisions. Explore step-by-step solutions to overcome common challenges faced when integrating Copilot with existing Power BI models. With practical tips and strategies, this blog will guide you on maximizing the benefits of Power BI Copilot, ensuring quick wins and long-term success.

The Journey

In this blog, we will cover our customer’s Power BI Copilot journey in the following areas:

1. Model Building and Copilot Performance: How the model was built and how Copilot performed on top of it.
2. Identifying and Addressing Accuracy Issues: Uncovering why less accurate answers were generated and optimizing the model to address these issues.
3. Fixing Model Aspects: Addressing relationships, synonyms, linguistic modeling, unused measures, naming conventions, and more.
4. Testing and Prompt Engineering: Our methods for testing and improving accuracy through prompt engineering.
5. Learnings and Recommendations: Insights and recommendations to enhance the Copilot experience.
6. Investment in this Technology: How to get the best value from reports by combining traditional reporting with Copilot.
7. Is it worth the development effort?: Is it worth investing time in finetuning the model to enable this technology? How will it unlock various aspects in the future?
8. Future of Reporting: The roadmap for Copilot in Power BI and how the future of reporting will change in the coming years.

Did you know that Power BI offers multiple ways to display hyperlinks in a table or matrix visual? You can show hyperlinks as the full URL, an icon, or even format text from another column to include the hyperlink. These hyperlinks can direct users to a website or navigate to a different page within the same or another Power BI report.