Copilot in Power BI empowers both developers and non-technical users by assisting with tasks such as generating reports, writing and explaining DAX queries, and creating measure descriptions. However, a common debate revolves around the quality of its results.

In my view, the accuracy and usefulness of Copilot’s output largely depend on the quality of your data model. For example, if your model contains numerous acronyms, abbreviations, or internal definitions, Copilot may struggle to interpret them correctly, leading to less-than-ideal results.

In this blog, we’ll explore how to improve Copilot’s DAX query suggestions by enriching your model with additional metadata such as descriptions, synonyms, and sample values.

Are you struggling to manage access to sensitive data in Power BI? Many organizations face challenges with inconsistent access controls and security enforcement.

In our latest blog, we introduce Dynamic Row-Level Security (RLS) in Power BI, which simplifies data access management by filtering data based on user roles. You'll learn how to implement Power BI Dynamic Nested RLS with Multiple Hierarchies, follow best practices for data sharing, and see a real-world customer scenario. Whether for a small team or a large enterprise, our insights will help you enhance data governance and scalability in Power BI.

This blog will address the following topics:

• The current challenges customers face regarding data security when sharing reports with end users.
• Resolve these challenges with Power BI Semantic modeling and Dynamic Row-Level Security (DRLS) implementation.
• Other potential approaches can be applied in specific scenarios to resolve the Data security and sharing issue.
• Our recommendation on the best approach.
• Best practices for implementing DRLS in Power BI semantic models.

In this part we will discuss the customer's current challenges and deep dive a detailed solution approach. In Part 2, we will explore other tested approaches, specific scenarios, best practices, and our recommendations.

Microsoft is sunsetting Power BI Premium—mandatory migration to Fabric begins July 2024.

What you’ll learn:

✅Step-by-step migration guide (with automation scripts!)
⚠️Critical pitfalls to avoid (cross-region data = headache)
💡Pro tips to optimize costs in Fabric

The Numeric Range Parameter in Power BI is a powerful feature that allows users to interact with a variable through a slicer. This helps visualize and quantify different key values dynamically within reports. In this blog, we will explore how to create and use a Numeric Range Parameter to slice and analyze data effectively.