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To master Cognos 11, we are going to follow a "Value-First" approach. We’ll start with the high-impact visual tools and work our way down into the complex data modeling and professional report writing. Lets begin: Step 1: Navigating the "Glass" UI When you log in, you’ll see the Welcome Portal. • The Switcher: At the top center, you can see which assets (reports/dashboards) you currently have open. • The Sidebar: This is your lifeblood. It contains "Search," "My Content" (your private folder), and "Team Content" (publicly shared items). Step 2: Uploading Your First Dataset Cognos 11 is famous for "Personal Data Upload," which lets you skip the IT queue. 1. Download a sample "Sales" CSV or Excel file (or use your own). 2. Click the + New button on the bottom left. 3. Select Upload Files and choose your file. 4. Once uploaded, look at the bottom of the screen. Cognos will notify you when the file is "Success." Step 3: Conversation with the Assistant Now, let's use the 2026-era AI capabilities. 1. Click the Assistant icon in the sidebar (it looks like a small robot/chat bubble). 2. Type: show data — This will list your uploaded file. 3. Type: show [Your Measure Name] by [Your Dimension Name] (e.g., show revenue by region). 4. The Magic Step: Type create dashboard while your data is selected. Cognos will instantly generate a multi-tab dashboard for you.

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Successful Power BI adoption starts with planning. Learn how to manage data sources and licensing the right way. #PowerBI #BusinessIntelligence #DataManagement #RealityTech

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🚀 Big News for the Power BI Community – 𝗨𝘀𝗲𝗿-𝗗𝗲𝗳𝗶𝗻𝗲𝗱 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 (𝗨𝗗𝗙𝘀) are now available in DAX! This is a true game changer. Until now, writing #DAX often meant repeating the same logic across multiple measures. If something changed, you had to update it in every place – tedious and error-prone. 𝗪𝗶𝘁𝗵 𝗨𝗗𝗙𝘀 𝗶𝗻 𝗗𝗔𝗫, 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗻𝗼𝘄: ✅ Write your calculation once ✅ Reuse it across multiple measures ✅ Centralize business logic for easier maintenance 📊 In the example below, I created a CAGR function. Instead of rewriting the CAGR formula for Sales, Net Income, and Cashflow, I defined it once as a function. Then, I simply call it with the measure I want: This centralizes the logic – if the calculation changes, I only update the function, and all dependent measures update automatically. 💡 For anyone managing complex financial or business models, this means cleaner code, faster development, and fewer errors. I believe this update is one of the biggest leaps forward in #DAX productivity we’ve seen in years. Download the latest #powerbi desktop and try it out! Jeroen (Jay) ter Heerdt #PowerBI #DAX #DataAnalytics #BusinessIntelligence #CAGR #daxudf

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Power BI July 2025 Update Highlights This month's release brings powerful features to elevate your Fabric workflows: 🔄 Direct Lake support for mirrored & SQL databases in Desktop 🎯 Verified Copilot answers + AI data schema enhancements 🧠 Organizational themes (Preview) 📊 Smarter Pie, Donut, and Pareto visual improvements 📁 PBIRS becomes the future of on-prem reporting in SQL 2025 ⚙️ Expanded data sharing with Microsoft 365 📌 Dive into the full update here: 👉 summary https://lnkd.in/d3EjnimT #MicrosoftFabric #PowerBI #DataMindsKE #FabricUpdates #Copilot #PBIRS #DirectLake

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The AD Group Strategy Your Power BI security is built on individual user permissions. When employees change roles, someone manually updates their BI access. Usually weeks later. Sometimes never. When contractors leave, their accounts linger with full dataset access because nobody remembered to revoke it. Active Directory groups sync automatically from HR systems. Role changes? Access updates overnight. Departures? Immediate revocation. Yet many Power BI environments still grant permissions person-by-person, creating security drift that compounds into compliance nightmares. The fix isn't complex—it's using the identity management infrastructure you already have, governed through Power BI security groups. https://lnkd.in/g3nPiJyM #IdentityManagement #PowerBI #AccessControl #ActiveDirectory #SecurityGovernance #Compliance

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This is often overlooked during development, but it’s one of the main contributors to performance degradation in certain scenarios especially when using deeply nested IF statements in large semantic models. Thanks Marco Russo

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Many BI vendors gate Row-Level Security (RLS) behind their most expensive "Enterprise" tiers.   But whether you're in healthcare, finance, or running an agency, data isolation is a non-negotiable requirement, not an optional add-on.   We’ve just released a plain-English guide to Row-Level Security to help you navigate the complexity and the costs.   What is inside the guide:   ✅ What it is: A clear definition of why every BI deployment needs RLS. ✅ How it works: Static vs. Dynamic RLS and why the implementation method affects your performance. ✅ The Price Gap: An honest comparison of what Power BI, Tableau, and others charge for data isolation. ✅ A Simpler Way: How "Data Tags" can make RLS manageable without a dedicated engineering team.   Stop paying "Enterprise" taxes for basic security. Learn how to implement RLS on a budget.   Read the full guide in Dashbaordfox.   #DataSecurity #BusinessIntelligence #CyberSecurity #DataPrivacy #SaaS #RLS

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Turn your Syncro data into dashboards that actually tell a story. In this beginner-friendly Power Hour, the Syncro team walks through how to use Power BI Templates to quickly visualize key metrics, customize reports, and get real insights without starting from scratch! If you’re an MSP or IT leader looking for faster, smarter reporting, this one’s for you. Watch here: https://bit.ly/4rorpfd #MSP #PowerBI #Syncro #ITReporting #MSPTools

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We are excited to share, IBM Cognos Analytics 12.1.1 is now available! This latest release brings smarter reporting, faster dashboards, and enhanced capabilities to help you make data-driven decisions more efficiently. Stay updated with what’s new and explore the key features here: 👉 https://ibm.biz/BdbS5m Whether you’re building reports, dashboards, or analytics solutions, Cognos 12.1.1 offers tools to elevate your insights. #IBMCognos #Analytics #BusinessIntelligence #DataDriven #Reporting #Dashboards #SmarterSolutions

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Most Power BI reports look generic because themes are painful to build. This is why, a couple of years ago, I built a free theme generator: pick colours, see a live preview, export the JSON in one click. 82,000 users later, it's still the tool I'm most proud of. Link in the first comment.

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If you like to learn how to extend #PowerPlatform governance into the age of AI, click the link to download a great 40-page eBook to help expand your governance model! https://lnkd.in/gB_KtwZV

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In today's edition of Throwback Thursday, we revisit a few articles on VBA's most powerful underused feature: class modules. #msaccess #vba #softwaredevelopment

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💻 Advanced Forecasting in Power BI (. pbix included) by Isabelle Bittar, MBA, PMP, CRHA 🔗 https://lnkd.in/eWyiW9cC For more: https://lnkd.in/ejnrivFC #PowerBiMasterclass #PowerBI #DataVisualization #dataviz #DataAnalytics #DataScience #BusinessIntelligen

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The Magic Quadrant for Master Data Management (MDM) is returning in 2026, and I'm absolutely thrilled. In the last published MDM Magic Quadrant in 2021, I wrote that MDM had transitioned from a 'nice to have' to a 'must have'. This was true then, and it remains true, now. MDM is a foundation of any modern data management ecosystem, and the market needs the guidance that Gartner provides through this important annual report. Bravo to Gartner for making the right decision and bringing back this MQ. #mdm #masterdata #masterdatamanagement

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Initial thoughts from scanning the #Fabric and #PowerBI blogs this morning before all the #FabCon announcements. #Microsoft is clearly spending the time and resources to improve Fabric. The number of things being announced will take me days to go over. I'm really interested in more Fabric IQ, the Jumpstart, database monitoring. But there is so much more to deep dive on, it's pretty exciting. What I am not seeing is anything meaningful for Power BI. Nothing that is really pushing the product forward. All the announcements are nice to have. There is even a big blog post about how semantic models are the foundation of enterprise #AI. But where are the actual improvements to the underlying technology? Engine improvements, bug fixes to Switch, automatic aggregates, object Inheritance. There are a whole host of features that the likes of Snowflake, Databricks, AtScale are quickly incorporating into their products while Microsoft has been resting on their laurels. Improvements here have to happen. Here is the blog post that every product blog post tells you to read first. High level summary of the FabCon announcements. https://lnkd.in/gKtsaiCQ

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The Power BI January 2026 feature summary is out, and as someone who's spent years wrangling data in BI tools, I appreciate when updates focus on practical improvements rather than just buzzwords. This release emphasizes enhancements to Power BI Desktop that could genuinely streamline reporting and analytics workflows for teams dealing with complex datasets. First key insight: Enhanced AI-driven visuals now include automated anomaly detection and predictive forecasting, which can save hours in spotting trends during exploratory analysis. In my experience, this is a win for mid-sized teams where manual charting eats up too much time, but watch out for the potential drawbacks like over-reliance on AI that might miss nuanced business contexts or require fine-tuning to avoid false positives. Second, improved Azure Synapse integration allows for real-time data syncing, making it easier to build scalable pipelines without the usual ETL headaches. Third, updates to DAX and query optimization tools promise faster performance on big queries, which is crucial for deadline-driven reporting. It's optimistic, but I've been skeptical of past updates that underdelivered on speed gains let's see if this holds up in real-world stress tests. Overall, these features position Power BI as a stronger contender for efficient BI workflows, especially if you're in development or analytics roles. Have you implemented similar updates in your projects? What pitfalls have you encountered with AI in BI tools? #ArtificialIntelligence #BusinessIntelligence #DataAnalytics #PowerBI

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