Learn the difference and what it takes to transition to Fabric successfully!

In this article, we’ll explore the power of X-Functions like SUMX, AVERAGEX, and more, and how they can transform your data modeling in Power BI. Let’s clarify what we mean and dive into practical examples to enhance your analytics workflows.

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How the Text Slicer Works
The text slicer enables the user to input his specific text. He then specifies which particular data field would be filtered. As soon as one types the text in the slicer's input box, the information will automatically reduce to showing only those data where the text has been located. It is beneficial when dealing with huge lists because speed and accuracy must be delivered quickly on the filter.

Managing stock levels dynamically is essential for effective inventory management. A crucial aspect of this task involves calculating cumulative quantities to track the balance of products over time. In this example, we have Sales and Purchasing tables, and we aim to create a Matrix visual in Power BI to display the purchased and sold quantities accurately. The ultimate goal is to dynamically track the stock balance (leftover products) at any given point by calculating the difference between cumulative purchases and cumulative sales.

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In this newsletter, we’ll dive into hierarchical directories and how they’re used in analytics. Let's clarify what we mean.

Downloadable Materials 

Power BI can connect to, transform and visualise data. Which is great but how do we get that modified data out?

One way is using a Power Automate flow to connect to the published Power BI dataset.

In this video we discuss how to manage a notebook PySpark code throughout the deployment pipeline stages, so that it adjusts dynamically to each deployment stage without needing manual interaction.

All About Power BI Metrics, A hidden Gem

It's a great external tool to generate developer documentation for our reports with a single click, and we want to have a report or document that documents the entire process from data import to Power BI, and from Power BI report authoring to delivery.

In the process, we'll have a lot of pages, measures, parameters, calculation groups, even Power Query queries, and so on. Sometimes we need something to be able to visually observe it and count this information, so the tool shared today will be able to help you!

Custom Sorting with Power BI

Custom sorting in Power BI can significantly enhance the clarity and impact of your data visualizations. However, users often encounter several challenges when setting up custom sorts. Here’s a look at some of the common hurdles and how to overcome them:

Step 1

Create a Custom Table with all the category either manually in Power Query or read from source.

Create a new column beside and provide the number in the order you want to arrange.

Step 2

Create a relationship between the column in actual table to the custom sort table.

Step 3

Create a column in Actual table with an expression.

Sort order = RELATED(CustomSortTable[Sort])

Step 4

Select the column you want to sort, and a “Column Tools” menu bar will appear at the top. Now Select the “Sort by column” and select the sort order column.

In this blog, we'll explore how to display the previous 6 months of data based on a single slicer selection in Power BI.

Learn how to design a medallion architecure in Fabric!

Designing effective Power BI reports isn't just about data accuracy—it’s also about creating a visually clean, user-friendly experience. When it comes to color, less is often more. This article will guide you through the benefits of using a single color or a few complementary shades in Power BI, highlighting how this minimalist approach can improve readability, reduce cognitive load, and help users focus on insights instead of aesthetics.

In this guide, we’ll cover how to bring task data from Microsoft Planner into Power BI for analysis, using Power Automate and SharePoint as intermediaries. Since Power BI currently lacks a direct Planner connector, Power Automate lets us fetch the data from Planner and save it to SharePoint as a JSON file, enabling Power BI to access it on a scheduled basis.

Have you ever worked in Power Query editor and you had to create lot of "helping" queries to achieve your goal? Usually you started to have lot of queries with similar names and majority are just disabled for loading?

Well actually there is an old trick, where you don't need to do that (in majority of cases) and you can just do "self reference" your existing query.