Discover how to create a fully customized 100% stacked bar chart using Python visuals inside Power BI!
✔ Total values at the end of bars
✔ Interactive filtering with a slider
✔ Clean, publication-ready styling

Whether you're answering tough stakeholder questions or just tired of default visuals, this walkthrough is for you.

👉Dive into the full blog and see how it’s done step by step!

This post focuses on one of the most frequently asked questions: What is the Microsoft Fabric licensing model? and provides comparison with the Power BI licensing structure to highlight their similarities and differences

Working with Tabular Model Definition Language (TMDL) provides a powerful way to define and manage your Power BI semantic models through scripts. But before applying any script, especially one copied or adapted from another source, it's crucial to understand its potential impact.

That’s where the TMDL View Preview comes in.

In this blog, we’ll walk you through how TMDL preview works, how it helps you understand script changes before applying them, and what to keep in mind while using it.

Learn how to build Custom Column and Conditional Columns in Power BI; in this concise tutorial I walk you through the Power Query Editor step by step.

Learn how to bring version control, collaboration, and CI/CD into your Power BI workflow using the Power BI Desktop Projects (.pbip) and Git integration. This guide walks you through the setup, benefits, and real-world examples. plus a demo video in Arabic.

Source Control + Versioning + Team Collaboration = Better BI Development

Power BI is often seen as a reporting tool. But what if we viewed the data model not just as a technical structure, but as the foundation of user experience (UX)? In this post, we’ll explore how treating the Power BI semantic layer as a product interface can lead to more intuitive, sustainable, and user-friendly analytics solutions.

Microsoft Fabric is creating a buzz in the data world, promising to bring all your data tools into one seamless platform. If you’re a Power BI user, understanding how Microsoft Fabric fits into your data analytics journey can unlock new possibilities. In this blog, we’ll break down what Microsoft Fabric is, how it enhances Power BI, and practical tips to get started—all in simple terms.

When Power BI reports run slowly, the issue often lies not in the visuals, but in the data model itself. Focusing solely on DAX formulas isn’t enough to solve performance problems. In this post, I’ll share three powerful yet often overlooked techniques to optimize your data model and boost report performance.

Note: This may not be a typical community blog discussing DAX techniques or visualization tips. Instead, it reflects observations from working with data in finance roles, specifically around master data maintenance and its downstream impact on Power BI reporting.

In many organizations, the process for maintaining master data—cost centers, chart of accounts, vendor codes, and the like—follows a seemingly structured flow. Requests are submitted, routed to the appropriate approvers (often Finance leadership), and entered into the system upon approval. On the surface, this appears to tick the box of SOX compliance.

We're thrilled to announce the winner of the May Community DataViz Contest.

I've launched a new open-source project, an extension of the Power BI Cleaner solution. Over the years since the original solution was launched, I've added a few components to my own edition, including a "Usage" page. This is very handy as a quick reference to the connections between Pages, Visuals, Tables, Fields and Measures in any Power BI report.

Power BI continues to reshape the world of data analytics with its monthly updates. The May 2025 release brings groundbreaking improvements in user experience, modeling, and visualization. In this post, we’ll explore three powerful features that haven’t yet been deeply covered in the community blog—but are sure to make a big impact.

Meet the judges of our May dataviz contest!

A Loan Calculator in Power BI allows users to explore different loan scenarios by adjusting key inputs such as loan amount, interest rate, and loan term. By using What-If Parameters, users can instantly see how changes affect monthly payments and total repayment amounts, enabling dynamic decision-making and clear financial insights—all in an interactive report environment.

You can find the data source file, along with Power BI files containing both solutions and those without, at the following link:

Study Materials 

Power BI in Fabric provides developers with multiple options for selecting a semantic layer. Various considerations can help you choose the appropriate semantic modelling strategy to meet your business objectives. The choice of semantic modelling strategy involves several factors. This discussion will examine the implications of each mode for both BI and Excel users.