What you got Dashboard : dropdown controls + KPI cards + 2 charts. Data : an example  90‑business‑day history laid out as Date + currency columns  (1 EUR = X). Lists : currency codes and names used for dropdowns. HowTo (in the workbook) : a copy of the key update steps. Note: The workbook ships with demo history  so everything works immediately. You can replace it with real data whenever you want. Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇

Most teams barely scratch the surface of what Power BI can do. Add custom connectors, and suddenly your IT, HR, finance, and admin workflows speak the same data language. Power BI is well known for its clean dashboards and easy-to-read charts. But if you think of it only as a sales reporting tool, you are missing most of what it can actually do. The real power — no pun intended — comes when you connect it to the systems your entire organisation already runs on every day. Cust

SharePoint can be either your best “single source of truth”… or the reason your refreshes fail on Monday morning. This guide shows how to structure SharePoint properly (sites, libraries, lists), set permissions that scale, and connect everything cleanly to Excel  and Power BI —with practical “do this / don’t do that” patterns. Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 1) SharePoint basics that matter for BI people Sites, Libraries, Lists

If you’ve ever wanted cleaner dashboards, faster “at-a-glance” reading, and less “wall of numbers” fatigue—Unicode symbols + hex colors are a surprisingly powerful combo. In this post you’ll learn practical, copy-paste-ready tricks for Excel , Power BI (DAX + conditional formatting) , and Power Query . Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 Why this matters (real-life use cases) Status columns that actually read well : ✅ OK, ⚠ Warning,

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,

Check out some of our FREE templates and materials. Jtzt Abonnie Overview When you connect Power Query / Power BI to a SharePoint site (or document library), there are (at least) two common M-functions you may see or use: SharePoint.Files(siteUrl as text, optional options as record) as table SharePoint.Contents(siteUrl as text, optional options as record) as table Although they sound similar, their behavior, performance, metadata returned, and navigation experience differ. Un

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

Hook:  Hard-coded paths are silent project killers. Move a file, share a workbook, or publish a PBIX—and boom: refresh fails. Goal:  In ~10 minutes you’ll set up robust, parameter-driven paths for Excel (Power Query) and Power BI (Desktop & Service), plus a tiny, reusable M pattern you can paste into any project. Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 1) Why hard-coded paths fail When you embed "C:\Users\Alice\Project\data.csv" in a qu

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

Excel users often seek efficient ways to retrieve data from large spreadsheets. Two powerful functions that stand out in this pursuit are...

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 Query is often seen as a tool for just loading and cleaning data — but it offers far more than the basics. Most users rely on a handful of transformations, while the UI hides powerful features that can make your workflow faster, cleaner, and easier to maintain. In this post, I’ll walk you through the best Power Query UI functions and hidden gems  — no M code required. Check out some of our FREE templates and materials. I repeat, no M-code, just UI!!! "Discover the Top 1

Power BI’s Power Query (M language) allows creating custom functions and reusable query steps to simplify common tasks. Below are five versatile M-code solutions – a mix of data transformation helpers and analysis utilities – that you can copy into your Power BI queries with minimal adjustments. Each function includes the full M code, an explanation of its purpose, and an example use case in real-world projects. Check out some of our FREE templates and materials. PRACTICE MAT

Want faster refreshes and snappier previews? Here’s a practical, no-nonsense guide to making Power Query load much  quicker using only generic patterns and examples. Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 Quick Wins Fold early, fold often:  Filter and select columns as the first steps. Prune columns:  Load only what you use. Reference, don’t duplicate:  Reuse staged queries. Avoid row-by-row custom columns:  Prefer joins, grouping, and

This post walks through the exact setup shown in your screenshots: folder-based CSV ingestion in Power Query, a tidy star schema, an FX bridge for currency conversion, a P&L layout table for the matrix, and a simple report page with monthly columns and KPI cards. No fluff—just what’s in your files. Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 What we’ll build (at a glance) Tables : dimDate, dimAccount, factGL, dimFX, dimPnL, plus your Calcula

Have you ever received an email with a link to download a CSV or Excel file, and wished it could just go straight into your Excel sheet or Power BI dashboard? Good news: it can. With Power Query , you can connect directly to these file links—whether they’re public or require Microsoft login—and automatically load them into Excel or Power BI. This blog shows how to do it step by step. Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 Why Use Power

When you're transforming data in Power BI or Excel using Power Query, you're bound to run into errors —mismatched data types, division by text, nulls, you name it. But instead of manually inspecting row by row, why not automate error detection with a custom Power Query function ? Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 In this blog post, I’ll walk you through a clean method to catch and analyze all row-level errors  using Power Query. Th

Power Query  is Microsoft’s powerhouse tool for data transformation and automation, built into Excel and Power BI. If you’ve ever spent hours copy-pasting and cleaning data manually (and let’s face it, most of us have), Power Query is here to save the day. This blog post will take a casual yet detailed dive into Power Query, its benefits, and how to use it, from basic to advanced scenarios. We’ll walk through practical examples with sales, trade, and technical data, including