🚀 Leveling up my Power BI skills! Here are 16 essential DAX functions every Power BI analyst should know — from SUMX and AVERAGEX to FILTER and CALCULATE. Mastering these functions helps turn raw data into meaningful insights 📊 #PowerBI #DataAnalytics #DAX #LearningJourney #DataAnalyst

🚀 Power BI Tip of the Week 🚀 Ever wondered how to make your dashboards feel faster without changing the backend? Here’s a known quick trick I use: 🔹 Use a “Summary Table” for slicers Instead of pointing a slicer at a huge fact table, create a simple summary/dimension table with distinct values (e.g., SELECT DISTINCT). ✅ Benefits: 🔹Faster slicer loading ⏱️ 🔹Less memory usage 💾 🔹Cleaner relationships in your model 🧩 In one of my projects, switching to a distinct summary table cut slicer load times from 6 seconds to under 1 second — a small tweak, big impact! #PowerBI #DataAnalytics #BI #PowerQuery #DAX

💬 Power BI Challenge of the Day 📝❓ Question You have been tasked with optimizing the performance of a Power BI model that includes a large dataset and multiple lookup tables. Discuss the concept of Cardinality Optimization and explain how you would manage the dataset and lookup tables to improve performance. 💡 Answer Cardinality Optimization in Power BI involves managing the relationships between tables efficiently to improve query performance. This optimization is crucial when dealing with large datasets and lookup tables to minimize the number of rows scanned during queries and aggregations. ✨ Explanation To optimize cardinality in Power BI, consider the following strategies: 1. Normalize lookup tables: Reduce redundant data by normalizing lookup tables to decrease the number of rows scanned. 2. Use relationships wisely: Establish appropriate relationships

💬 Power BI Challenge of the Day 📝❓ Question You have been tasked with optimizing the performance of a Power BI model that includes multiple large datasets and lookup tables. Explain how Cardinality Optimization can help in this scenario. 💡 Answer Cardinality Optimization in Power BI involves managing the relationships between tables efficiently to improve query performance. By reducing the number of distinct values in columns used for relationships, you can optimize the model's performance, especially when dealing with large datasets and lookup tables. ✨ Explanation When tables have high cardinality

🚀 Power BI Tip That Saved Me Hours! I’ve been working on a large Power BI model connected to SQL using Import mode, and one big challenge was slow refreshes. Every refresh synced the schema and reloaded all the data, even when I only needed to update the structure (like adding new columns). Recently, I discovered Power BI Desktop’s refresh options, and it completely changed how I work 👇 ✅ Refresh schema and data – updates both structure & data ✅ Refresh schema only – updates model structure (great for adding/renaming columns or changing data types) ✅ Refresh data only – reloads data without touching the schema The best part? You can do this at the table level! Just right-click a table in the Data pane → choose Refresh schema → done. It’s a small feature, but for large models, it’s a huge time-saver ⏱️ #DataAnalyst #BusinessIntelligence #PowerBI #DataModelling #Productivity #Analytics

💬 Power BI Challenge of the Day ⚙️ Problem: You are working on a Power BI project where you need to optimize the performance of a model by implementing Cardinality Optimization techniques. Explain how you would manage large datasets and lookup tables efficiently. 📝❓ Question: How would you approach Cardinality Optimization in Power BI to enhance performance when dealing with large datasets and lookup tables? 💡 Answer: To optimize performance through Cardinality Optimization in Power BI, one should focus on reducing the number of unique values in the lookup tables, especially those used in relationships. This can be achieved by consolidating data, removing unnecessary columns, and ensuring data integrity. Additionally, implementing proper indexing can also improve query performance. ✨ Explanation: Cardinality Optimization involves managing the uniqueness of values in a column. High cardinality

💡Unlocking the Power in Power BI As I dive deeper into Power BI, I’ve realized it’s much more than just a visualization tool. A few features that really impressed me: 🔹 Power Query – Clean and transform messy datasets without writing complex code. 🔹 DAX (Data Analysis Expressions) – Unlocks powerful calculations and custom measures. 🔹 Interactive Dashboards – Filters, slicers, and drill-through make insights more engaging. 🔹 Data Connectivity – Connects seamlessly with multiple sources (Excel, SQL, APIs, etc.). 🔹 Power BI Service – Share, collaborate, and access reports anywhere. What I love the most 👉 Power BI brings clarity to data by combining transformation, analysis, and visualization in one ecosystem. The real power of Power BI lies in how it helps you ask better questions and tell stories with data. #powerbi #dataanalysis #powerquery #DAX #data #learningjourney #businessanalyst #datavisualization

Power BI Refresh Types 1️⃣ Manual Refresh You do it yourself! Click the “Refresh” button in Power BI Desktop or Service — it pulls the latest data from your source manually. Best for quick updates or testing. 2️⃣ Scheduled Refresh Let Power BI do the work automatically! You set a schedule (daily/hourly) in the Power BI Service, and it refreshes data at those times. Best for reports that need regular updates. 3️⃣ Automatic Page Refresh Used with DirectQuery mode. The visuals automatically refresh every few seconds/minutes — no manual effort needed. Best for real-time dashboards. 4️⃣ Incremental Refresh Instead of reloading all data, it only updates new or changed data. Saves time and improves performance. Best for large datasets. #PowerBI #BusinessIntelligence #DataAnalytics #PowerBIDesktop #PowerBIService #DataRefresh #MicrosoftPowerBI

Please find frequently used important Text Functions in Power BI (DAX) that you can use as a quick reference. Github Link- https://lnkd.in/gauWFV4X #powerbi #textfunctions #functions #dataanalytics #dataanalyst #like #share #businessintelligence #bi #notes #microsoftpowerbi

🧩 𝑷𝒐𝒘𝒆𝒓 𝑸𝒖𝒆𝒓𝒚 𝒊𝒏 𝑷𝒐𝒘𝒆𝒓 𝑩𝑰  Before creating any report or dashboard, your data needs to be clean, structured, and ready to use. That’s where Power Query plays a big role. 💪 With 𝐏𝐨𝐰𝐞𝐫 𝐐𝐮𝐞𝐫𝐲, you can: ✨ Transform and clean your data 🔄 Remove errors and duplicates 🔗 Combine data from different sources It’s the place where raw data becomes reliable — setting the foundation for accurate analysis and smooth reporting. Once you’re comfortable with the basics, Advanced Power Query helps you take things further. 🚀 You can: 🔹 Merge or append queries to combine multiple tables 🔹 Use parameters to make your process flexible 🔹 Explore the M language to automate and customize your data transformations Power Query isn’t just a step in the process — it’s the engine that makes your Power BI workflow efficient and consistent. The better your data prep, the better your insights! 💡 #PowerBI #PowerQuery #DataAnalytics #DataPreparation #BusinessIntelligence #DataTransformation #MomPharmacy