Maciej Bober

Ever had a report 𝗚𝗢 𝗟𝗜𝗩𝗘 after testing, only to have end users 𝗿𝗲𝗽𝗼𝗿𝘁 𝗶𝘀𝘀𝘂𝗲𝘀 that could have been caught earlier? Frustrating, right? Let’s talk about how to avoid it. This is a common challenge in many organizations: the 𝗹𝗮𝗰𝗸 𝗼𝗳 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗽𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀 before deploying Power BI solutions to production. Too often, we rely on superficial checks and subjective approvals ("𝗫 𝘀𝗮𝗶𝗱 𝗶𝘁 𝗹𝗼𝗼𝗸𝘀 𝗴𝗼𝗼𝗱") instead of systematic, repeatable verification. Traditional Power BI testing often involves 𝘃𝗶𝘀𝘂𝗮𝗹 𝗶𝗻𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻𝘀 and 𝗯𝗮𝘀𝗶𝗰 𝗱𝗮𝘁𝗮 𝘀𝗮𝗺𝗽𝗹𝗶𝗻𝗴, usually limited to new features. While these methods catch obvious errors, 𝘁𝗵𝗲𝘆'𝗿𝗲 𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝗯𝘆 𝗵𝘂𝗺𝗮𝗻 𝗳𝗮𝗹𝗹𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗽𝗿𝗲𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝘀, inconsistent application, and inability to scale. 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: humans tend to skip re-checking things they’ve already reviewed ("I don't need to look at this as I've checked it before..."). This is where 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 is useful. It provides a 𝘀𝘆𝘀𝘁𝗲𝗺𝗮𝘁𝗶𝗰, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 that ensures comprehensive coverage across all new and old (regression testing) features. In the latest article of the series, I dive into 𝘁𝗵𝗿𝗲𝗲 𝗸𝗲𝘆 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗼𝗳 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗶𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜:  📌 𝗠𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆   📌 𝗜𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝘀   📌 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗰𝗹𝗶𝗲𝗻𝘁 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 Want to learn more about the link between 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻, 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻 𝗼𝗳 𝗗𝗼𝗻𝗲, and 𝟭𝟬 𝘄𝗮𝘆𝘀 𝘁𝗼 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗗𝗔𝗫 𝗤𝘂𝗲𝗿𝘆 𝗩𝗶𝗲𝘄 for automated testing? Check out the full article (𝘭𝘪𝘯𝘬 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘮𝘮𝘦𝘯𝘵𝘴). ✅ 𝗔𝗹𝗹 𝘀𝗰𝗿𝗶𝗽𝘁𝘀 𝗮𝗻𝗱 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗮𝗿𝗲 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗳𝗼𝗿 𝗳𝗿𝗲𝗲 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯. Let’s keep the discussion going: 𝗛𝗼𝘄 𝗮𝗿𝗲 𝘆𝗼𝘂 𝘂𝘀𝗶𝗻𝗴 𝗗𝗔𝗫 𝗤𝘂𝗲𝗿𝘆 𝗩𝗶𝗲𝘄 𝗳𝗼𝗿 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗱𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴? #PowerBI #DataQuality #Automation #DataAnalytics #DAX DECILIA

105

5 komentarzy

🌟𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐒𝐞𝐫𝐢𝐞𝐬 – 𝐍𝐨𝐨𝐛 𝐭𝐨 𝐏𝐫𝐨, 𝐏𝐚𝐫𝐭 𝟐 𝐢𝐬 𝐇𝐞𝐫𝐞!🌟 🌟 ᴛᴜʀɴɪɴɢ ᴅᴀᴛᴀ ɪɴᴛᴏ ᴅᴇᴄɪꜱɪᴏɴꜱ, ᴏɴᴇ ꜰᴏʀᴍᴜʟᴀ ᴀᴛ ᴀ ᴛɪᴍᴇ!🌟 Welcome to Part 2 of our Power BI Noob to Pro series! This chapter dives even deeper into the magic of DAX functions—the ultimate tools for transforming data into insights. Whether you’re just starting out or already on your way to mastery, these tips will take your skills to the next level. Let’s dive in! 🎉 🧮 𝐒𝐔𝐌: 𝐁𝐞𝐜𝐚𝐮𝐬𝐞 𝐃𝐚𝐭𝐚 𝐂𝐚𝐧’𝐭 𝐀𝐝𝐝 𝐈𝐭𝐬𝐞𝐥𝐟! 🔑 Why It’s Cool: Quickly calculate totals like sales or revenue. 🔥 Fun Twist: It’s like adding up your shopping bill after a spree—who doesn’t love seeing the grand total? 🛍️ 🤖 𝐒𝐔𝐌𝐗: 𝐖𝐡𝐞𝐧 𝐘𝐨𝐮 𝐍𝐞𝐞𝐝 𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐒𝐮𝐦𝐦𝐚𝐭𝐢𝐨𝐧! 🔑 Why It’s Cool: Row-by-row calculations for dynamic insights. 🔥 Fun Twist: Think of it as calculating cookie revenue per jar and adding it up for all the jars. 🍪✨ 🌟 𝐀𝐕𝐄𝐑𝐀𝐆𝐄: 𝐁𝐞𝐜𝐚𝐮𝐬𝐞 𝐌𝐢𝐝𝐝𝐥𝐞𝐠𝐫𝐨𝐮𝐧𝐝 𝐌𝐚𝐭𝐭𝐞𝐫𝐬! 🔑 Why It’s Cool: Find typical values like average sales or ratings. 🔥 Fun Twist: Imagine a referee calculating the average score of players in a game. ⚽ ⛰ 𝐌𝐀𝐗 / 𝐌𝐈𝐍: 𝐓𝐡𝐞 𝐏𝐞𝐚𝐤𝐬 𝐚𝐧𝐝 𝐕𝐚𝐥𝐥𝐞𝐲𝐬 𝐨𝐟 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚! 🔑 Why They’re Cool: Identify the highest and lowest performers. 🔥 Fun Twist: Picture a basketball team—MAX picks the tallest player, MIN the shortest. 🏀 📋 𝐂𝐎𝐔𝐍𝐓𝐑𝐎𝐖𝐒: 𝐁𝐞𝐜𝐚𝐮𝐬𝐞 𝐑𝐨𝐰𝐬 𝐌𝐚𝐭𝐭𝐞𝐫! 🔑 Why It’s Cool: Quickly check the number of rows in your table. 🔥 Fun Twist: Imagine counting the number of cookie jars on a shelf! 🍯 🏆 𝐑𝐀𝐍𝐊𝐗: 𝐀𝐧𝐝 𝐭𝐡𝐞 𝐖𝐢𝐧𝐧𝐞𝐫 𝐈𝐬… 🔑 Why It’s Cool: Create leaderboard-style rankings for your data. 🔥 Fun Twist: Think of ranking players based on their scores in a game—you decide the MVP! 🎮 ✨ From Noob to Pro—Master the Art of Data Storytelling! 📣 𝐘𝐨𝐮𝐫 𝐓𝐮𝐫𝐧: What’s your favorite DAX function for unlocking insights? Share your thoughts and let’s learn together! Don’t forget to like, comment, and tag your fellow data enthusiasts. Let’s make data analytics a blast! 🚀 𝓐𝓬𝓴𝓷𝓸𝔀𝓵𝓮𝓭𝓰𝓶𝓮𝓷𝓽𝓼:🙏 Special thanks to the incredible support from Codebasics , Hemanand Vadivel,Dhaval Patel , Singaram Harish Kumar, Shashank Singh 🇮🇳 ,Saddam Ansari , Pradeep M,Data Defenders #PowerBI #NoobToPro #DataAnalytics #DAXFunctions #DataVisualization #BusinessIntelligence #LearningJourney #DataStorytelling #CareerGrowth #TechWithFun Let’s grow together, one function at a time! 📊✨

29

2 komentarze

We’ve gathered our 8 best tips for writing DAX UDFs 🎁  Although they might seem simple – maybe even common sense – adhering to these 8 principles will make your functions better.  Some highlights from the list include:  1️⃣ Be careful with parameter types and evaluation  3️⃣ Add comments and descriptions  8️⃣ Be careful when using AI to generate functions  Check out our blog for the complete list:  🔗 https://lnkd.in/gbrr6Fqc  #TabularEditor #DAXUDFs #PowerBI #UserDefinedFunctions 

37

Feature Challenge: Default Slicer Selections Driven by Logic 💡 Power BI Users… ever wish slicers could read your mind? You open a report, and bam — everything's reset. Again. You just wanted “Last Month’s” numbers, not a trip down memory lane setting filters... every. single. time. 😩 You’re not alone. A highly upvoted Reddit thread nailed the issue : “Dynamic slicers if we can set the default view to be based on rules similar to how RLS is implemented.” 🎯 The Gap : By default, slicers in Power BI don’t support dynamic default values—each time users open a report, they often have to manually reset filters. This can be frustrating, especially when you want slicers to default to “Last Month”, specific categories, or context-sensitive values. 🛠️ Quick How-To: 1️⃣ Create a Parameter Table Include values like “This Month”, “Last Month”, “YTD” let users choose! 2️⃣ Build Smart DAX Logic Tie the selection to your data model so it dynamically filters based on logic (as shown in the image) 3️⃣ Apply Filters with Control Use a flag like InDefaultSelection = 1 to define what loads by default boom! 📌 Bonus: This works at visual or page level — total control, total clarity. No more manual resets. Just smart, context-aware slicers that work the way your users expect. Have you tried this in your reports yet? Curious how you’re managing dynamic views in Power BI — let’s swap tips in the comments! 👇 #PowerBI #DataViz #Analytics #PowerBITips #DAX #BusinessIntelligence #FieldParameters #UX #PowerBICommunity #MicrosoftPowerBI #DataStrategy #PowerBITips

26

𝗡𝗮𝘁𝗶𝘃𝗲 𝗩𝗮𝗿𝗶𝗮𝗻𝗰𝗲 𝗖𝗼𝗹𝘂𝗺𝗻 𝗖𝗵𝗮𝗿𝘁 𝗶𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝚗̶𝚘̶𝚝̶ 𝗣𝗢𝗦𝗦𝗜𝗕𝗟𝗘 If you check the Power BI Community forum for Column Variance chart implementation, you'll be told to use 𝗰𝘂𝘀𝘁𝗼𝗺 𝘃𝗶𝘀𝘂𝗮𝗹𝘀 and that it's 𝗻𝗼𝘁 possible natively. Here's the thing though - it 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗶𝘀 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲. Using careful visual context management and some clever tricks, you can create dynamic variance column charts using 𝗼𝗻𝗹𝘆 𝗻𝗮𝘁𝗶𝘃𝗲 𝘃𝗶𝘀𝘂𝗮𝗹𝘀. No custom components needed. 🎬 Video tutorial dropping next week. #PowerBI #DataVisualization #PowerBITips #BusinessIntelligence #DataAnalytics #MicrosoftFabric #DataReporting #Analytics #BI #DataScience #PowerBICommunity

48

8 komentarzy