Microsoft Fabric boosts ecosystem restoration with unified data platform

Power BI's May 2026 release introduces Visual Calculations as a general availability feature, shifting how complex computations like running totals or percent of parent are handled. This means these calculations can now live directly in visuals without requiring DAX measures in the semantic model. For ProcessBI, this reduces model complexity, minimises change-management friction with clients, and streamlines deployments. The impact is twofold: fewer model updates lower risk, while faster delivery improves time-to-value. The move aligns with a broader trend in Microsoft Fabric toward separating logic from data structures. By keeping calculations in the visual layer, teams avoid polluting the model with ad-hoc measures, which simplifies governance and maintenance. For organisations focused on data democratisation, this shift enables users to create self-service analytics without relying on IT for every tweak. How does this change your approach to semantic model design? #MicrosoftFabric #PowerBI #DAX #DataGovernance #Analytics

A strong Power BI report doesn’t start with visuals, it starts with a well-designed semantic model. Without a robust model, dashboards become confusing, inconsistent, and hard to maintain, leaving teams frustrated and decision-making compromised. Microsoft Fabric allows organisations to build semantic models that unify data from lakehouses and warehouses into a single, trusted layer. A well-crafted semantic model ensures data is accurate, accessible, and ready for analysis, empowering teams to make faster, smarter, and more reliable decisions. 🔥 Strengthen your reports with a solid semantic model. https://lnkd.in/gKFvcvxK #MicrosoftFabric #PowerBI #SemanticModel #LevelUpYourData

Power BI’s May 2026 release introduces Visual Calculations as a general availability feature, shifting how complex computations like running totals or percent of parent are handled. This means these calculations can now live directly in visuals without requiring DAX measures in the semantic model. For ProcessBI, this reduces model complexity, minimizes change-management friction with clients, and streamlines deployments. The impact is twofold: fewer model updates lower risk, while faster delivery improves time-to-value. The move aligns with a broader trend in Microsoft Fabric toward separating logic from data structures. By keeping calculations in the visual layer, teams avoid polluting the model with ad-hoc measures, which simplifies governance and maintenance. For organizations focused on data democratization, this shift enables users to create self-service analytics without relying on IT for every tweak. How does this change your approach to semantic model design? #MicrosoftFabric #PowerBI #DAX #DataGovernance #Analytics

Stop asking IT to build you another static dashboard. In 2026, the bottleneck isn't the data; it’s the dependency. Every week, I see IT teams in Google Workspace and Microsoft 365 environments buried under tickets for "updated reports." We are still acting as data middlemen, manually exporting CSVs and stitching together presentations while strategic architecture projects gather dust. True digital transformation isn't about getting better at building reports; it's about making your data Self-Service. It is time to transition your teams from "Requesting Data" to "Questioning Data": 1-Native Integration is Key: Leverage directconnectors to your live environment. Microsoft users should connect Power BI directly to M365 usage data. Google Workspace users, maximize Looker Studio’s automated blends. 2-Move to Real-Time Streams: Static is slow. Use APIs to stream critical KPIs, like security incidents or system uptime, to live dashboards. 3-Governance, Not Creation: IT’s role shifts from creating the dashboard to validating the data source and defining access security. The goal isn’t more reports; it’s faster, decentralized intelligence. Give your business teams the trusted map, and let them find their own way. Are you successfully empowering self-service BI, or still doing the heavy lifting? 👇 Google Workspace Microsoft 365 #DataAutomation #ITLeadership #BusinessIntelligence #GoogleWorkspace #Microsoft365 #LookerStudio #PowerBI

A common day-to-day issue in data teams: Same data, different tools… different results. Data pipelines run in one system Storage sits somewhere else Dashboards are built on top of another layer And suddenly, numbers don’t match This is not a rare problem — it happens often. Microsoft Fabric is trying to solve this with a unified approach. Single storage layer (OneLake) ELT-based processing inside the platform Tight integration with reporting (Power BI) Data stays in place, compute moves to data This reduces data duplication, pipeline complexity, and inconsistencies across reports. It’s not about adding another tool — it’s about reducing the number of moving parts in the data stack. Less movement of data = fewer problems. #MicrosoftFabric #DataEngineering #ELT #ModernDataStack #Analytics

🚀 The future of BI is not just dashboards. It is operational action. For years, BI teams focused on building reports that explain what happened. But the Microsoft ecosystem is moving toward a more connected model: Data → Insight → Workflow → Action → Business Impact Recent Power BI updates continue to improve AI, Copilot, reporting, modeling, and authoring experiences, making analytics more interactive and business-ready. The key shift is this: 📊 Traditional BI answers: “What happened?” 🧠 Modern BI should answer: “What should we do next?” This means dashboards should not be isolated from operations. They should connect with: ✅ Power Automate for workflow execution ✅ Power Apps for operational decisions ✅ Dataverse for structured business data ✅ SharePoint for knowledge and documents ✅ Planner Premium for project execution ✅ Copilot and AI agents for reasoning and recommendations The real value of BI is no longer only visualization. It is helping organizations act faster, reduce delays, and improve decision consistency. BI is becoming the execution layer of digital transformation. #BusinessIntelligence #PowerBI #DataAnalytics #PowerPlatform #DigitalTransformation #AIAutomation #MicrosoftFabric #DecisionIntelligence

Within Microsoft Fabric, Power BI and Fabric Intelligence Sheets (𝒔𝒕𝒊𝒍𝒍 𝒊𝒏 𝒑𝒓𝒆𝒗𝒊𝒆𝒘) represent two parallel experiences built on a shared foundation of trusted data and semantic models. Instead of replacing each other, they extend the analytics journey in different directions while staying connected to the same governed data layer. 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐟𝐨𝐜𝐮𝐬𝐞𝐬 𝐨𝐧 𝐞𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐚𝐧𝐝 𝐢𝐧𝐬𝐢𝐠𝐡𝐭 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲. It allows users to interact with data dynamically, drill into business dimensions, identify patterns, and build self-service analytical views that explain what is happening and why it is happening. On the other side, 𝐅𝐚𝐛𝐫𝐢𝐜 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐒𝐡𝐞𝐞𝐭𝐬 𝐛𝐫𝐢𝐧𝐠𝐬 𝐚 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐩𝐥𝐚𝐧𝐧𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧. It supports formatted reporting, scenario modeling, financial structures, and collaborative decision-making workflows in a more guided and presentation-ready format. The strength of this combination comes from continuity across the same semantic model in Fabric. Power BI helps teams understand the business context through interactive analytics, while Intelligence Sheets helps teams shape decisions through structured narratives, planning inputs, and executive-ready outputs. 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐬𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐞𝐧𝐬 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐝𝐞𝐩𝐭𝐡 𝐚𝐧𝐝 𝐢𝐧𝐯𝐞𝐬𝐭𝐢𝐠𝐚𝐭𝐢𝐯𝐞 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐲. 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐒𝐡𝐞𝐞𝐭𝐬 𝐬𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐞𝐧𝐬 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐩𝐥𝐚𝐧𝐧𝐢𝐧𝐠 𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐞, 𝐚𝐧𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐬𝐭𝐨𝐫𝐲𝐭𝐞𝐥𝐥𝐢𝐧𝐠. Together, they support a complete analytics flow: - Exploration and discovery in Power BI - Insight validation using shared semantic models - Planning and scenario building in Intelligence Sheets - Structured reporting and executive communication from Sheets outputs Both experiences rely on a common Fabric foundation: - Unified semantic models - Consistent business definitions - Centralized governance in OneLake - Shared metrics and KPIs across workloads This consistency ensures that analysis and decisions stay aligned across the organization. From a modern analytics perspective, this reflects a shift toward connected decision systems rather than isolated reporting tools. 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐞𝐧𝐚𝐛𝐥𝐞𝐬 𝐜𝐥𝐚𝐫𝐢𝐭𝐲 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬. 𝐅𝐚𝐛𝐫𝐢𝐜 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐒𝐡𝐞𝐞𝐭𝐬 𝐞𝐧𝐚𝐛𝐥𝐞𝐬 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐩𝐥𝐚𝐧𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧. Together, they create a continuous loop from insight to decision within Microsoft Fabric. #MicrosoftFabric #PowerBI #FabricIQ #DataAnalytics #BusinessIntelligence #MicrosoftFabricIQ #Analytics #DataPlatform #EnterpriseAnalytics

One of the biggest advantages of using Microsoft Fabric with Microsoft Power BI is how seamlessly the entire analytics workflow becomes connected. Instead of relying on multiple disconnected systems, Fabric helps streamline the backend data processes while Power BI focuses on delivering meaningful insights through interactive dashboards and reports. A few ways Fabric enhances Power BI: • Faster access to centralized data • Improved scalability for large datasets • Real-time analytics capabilities • Simplified data engineering and transformation workflows • Better collaboration between technical and business teams • Reduced data movement across platforms The result is a more efficient analytics ecosystem where data can move from ingestion to visualization much faster, helping organizations make quicker and more informed decisions. Excited to continue exploring how modern data platforms are transforming business intelligence and analytics workflows. #MicrosoftFabric #PowerBI #BusinessIntelligence #DataAnalytics #DataEngineering #Analytics #CloudData #DataVisualization

⚠️Are your Power BI semantic models actually following best practices… or just “working” until they break? Most teams rely on manual checks, scattered tools, and one-model-at-a-time validation. That might work at a small scale—but in enterprise environments, it quickly turns into chaos. There’s a better way. 💡A new approach using Microsoft Fabric brings automated, cloud-based monitoring of best practices across multiple semantic models—centralised, scalable, and built for real governance. ➡️If you're dealing with growing BI ecosystems, this is worth your attention. Full breakdown in the article by Diego Scalioni. https://lnkd.in/egK7Dvzy #MicrosoftFabric #PowerBI #DataGovernance

Exciting to see how quickly the Power BI ecosystem is evolving in 2026! Power BI are genuinely changing the way data teams build, govern, and interact with analytics. Here are a few updates : ✅ Direct Lake in OneLake is now GA Massive step forward for performance and real-time analytics. Faster querying directly on OneLake without heavy refresh management is a game changer for enterprise-scale models. ✅ TMDL View in Web Modeling (Preview) Finally bringing a more developer-friendly, code-first experience to semantic modeling directly in the browser. This will improve collaboration, version control, and automation for BI teams. ✅ Copilot Enhancements Across Power BI & Fabric AI-assisted analytics continues to mature with better Copilot experiences, improved report interactions, and expanded Fabric integration. ✅ Translytical Task Flows (GA) Power BI is moving beyond dashboards into actionable analytics. Users can now update records, trigger workflows, and interact with operational systems directly from reports. ✅ Modern Visual Defaults (Preview) The new Fluent 2-inspired report styling makes reports cleaner, more modern, and easier to standardize across organizations. What I find most interesting is how Power BI is evolving from a traditional reporting tool into a full analytics + AI + operational decision platform tightly integrated with Microsoft Fabric. The future of BI is clearly: 📊 Real-time 🤖 AI-assisted ⚡ Low-latency 🔄 Action-driven analytics #PowerBI #MicrosoftFabric #DataAnalytics #BusinessIntelligence #PowerPlatform #DataScience #AI #Analytics #DataEngineering #Fabric #PowerBIUpdates