A practical step-by-step guide to building a clean Power BI date table, writing better time-intelligence measures, and avoiding the most common calendar mistakes.

Add micro visuals like KPI bars, icons, and sparklines directly inside Power BI tables and matrices using SVG measures — no custom visuals needed. Includes production-ready DAX patterns.

Drillthrough is one of the most underrated Power BI features. This guide covers smart page design, DAX context tricks, tooltip integration, and real-world patterns that even experienced users often miss.

Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 Introduction Ever wondered what happens behind the scenes when you drag a visual into Power BI? That’s DAX queries at work. While most users write DAX formulas to calculate measures or columns, DAX queries go one level deeper — they let you directly query your model, test logic, and debug calculations.In this post, we’ll break down what DAX queries are, how they work, their structure, examples, pit

Hook: If your model “mysteriously” changes numbers, breaks relationships, or sorts months alphabetically—blame data types. What we’ll cover: where to define types (and why), the safest order of operations across the ETL chain, Power Query vs. Model vs. Table View, special cases (DirectQuery, currency, duration), and concrete, copy-paste examples. 1) Why data types matter (and where they live) Power Query (PQ): Data shaping stage. Types here affect folding, transformations

Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 If you’re already familiar with Power BI and Power Automate , you know how powerful it is when these two tools work together. But one of the most game-changing triggers in Power Automate is: 👉 “Run a query against a dataset” This trigger lets you execute DAX queries (Data Analysis Expressions) directly against your Power BI dataset from a flow. That means you can extract aggregated results, row

Microsoft Power BI Desktop contains a rich set of modelling and reporting features, yet many power users enhance their workflow with external tools . These tools attach to the Analysis Services instance behind a PBIX/Power BI semantic model and allow advanced editing, scripting, performance analysis and automation. The External Tools ribbon lists all registered tools, and Microsoft warns that these are produced by independent developers; editing metadata outside Power BI De

Introduction Building effective Power BI reports is not just about loading data and creating visuals—it’s about structuring your data model correctly. Relationships are at the heart of that structure. In this post, we’ll explore what relationships in Power BI are, why they matter, how to create and manage them, and some advanced tricks to avoid common pitfalls. Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 Understanding Relationships in Power

If you're a moderately experienced Power BI user, you’ve likely encountered the CALCULATE function in DAX (Data Analysis Expressions). This is one of the most powerful and essential functions in the DAX language because it allows you to modify the context in which data is filtered and calculated. In this post, we’ll break down the structure of CALCULATE, walk through practical examples, explore advanced use cases, and show you how it can elevate your Power BI reporting. Che

Goal: a fast, self-updating Power BI report that tracks earthquakes in the European–Mediterranean region (with a global table for comparison), highlights activity hotspots, and surfaces clean KPIs for decision-making. Scope: Earthquakes in the European-Mediterranean region with magnitude 4.5 or greater within the last 720 days or the last 2 years. Source: ETH Zürich - Swiss Seismological Service (HTML daily data): http://www.seismo.ethz.ch/en/earthquakes/europe/last90daysMa

Power BI is a powerful business intelligence tool. The DAX (Data Analysis Expressions) language allows users to create custom calculations on data within the application. Whether you're a beginner or an advanced user, knowing the essential DAX measures is crucial for effective data analysis. This blog post will explore a 'must-have package' of DAX measures that can be reused across various datasets. We will start from basic measures such as SUM, COUNT, and AVERAGE, and move t

Power BI's secret sauce is DAX (Data Analysis Expressions) – a formula language that lets you create dynamic calculations and advanced analytics in your reports. If you’ve ever used Excel formulas, DAX will feel familiar (think of it as Excel formulas on steroids!), but it’s built for Power BI’s relational data model and interactive visuals. In short, DAX empowers Power BI users to turn raw data into meaningful insights with custom calculations that go far beyond out-of-the