Modern Power BI architecture choices for reporting on Azure Databricks: A performance benchmark for Power BI storage modes
Many enterprise Power BI semantic models use Azure Databricks as a data source. When building these models, developers and architects face an early and consequential decision: which storage mode to use. Cost, security, and ease of development and tuning all factor in — but report performance is probably the most important of them, because reports that are slow to load are one of the most common causes of end-user dissatisfaction. In practice, that decision is often made on intuition rather than evidence. To help change that, we've published a new white paper, Modern Power BI Architecture Choices for Reporting on Azure Databricks, benchmarking four ways of serving the same Delta tables to a Power BI report: Direct Lake on OneLake — over Delta tables in a Fabric lakehouse or warehouse Direct Lake on mirrored Unity Catalog tables — shortcuts, no copy DirectQuery — on a Databricks SQL warehouse Composite Model on Databricks — DirectQuery combined with Import-mode aggregations Figure: The four Power BI storage modes benchmarked to evaluate their impact on report performance and scalability. What the results suggest: there's no universal winner — but there are clear patterns. Direct Lake on OneLake performed well across the widest range of situations in this benchmark. It's highly competitive at smaller and mid-size volumes, and for the typical Power BI workload — where reports are used repeatedly throughout the day — it delivers interactive performance without extra modeling effort. At the top end of the volume curve, the picture shifts. With billions of rows, a Composite Model with aggregations was the fastest and most consistent pattern, staying sub-100ms on queries the aggregation tables can resolve. The caveat is equally clear: that advantage doesn't extend to queries that fall through to the underlying DirectQuery source, so the payoff depends on how well your aggregations match real user behavior. These are just the headline findings — the detailed results vary considerably by data volume, cache state, filter scenario, and query type. We'd encourage you to read the white paper for the full picture before deciding on a pattern. One thing worth noting up front: this is a point-in-time comparison as of June/July 2026, and both platforms are moving quickly. It also measures the end-user query experience within Power BI, rather than raw database execution speed. Treat it as a guide for running your own testing, on your own data. Explore the white paper for a full walkthrough of through each pattern in detail — the test setup, what was measured, and how results break down by data volume, cache state, and query type. Visit the Power BI download center to access the paper and other related resources.Direct Lake Calculated Columns (Preview)
Calculated columns are now available in preview for Direct Lake on OneLake semantic models. This has been one of the most requested capabilities since Direct Lake launched and closes a long-standing gap with Import and DirectQuery storage modes. You can define calculated columns directly in your semantic model using DAX in web modeling and Power BI Desktop, without changing the table storage mode or modifying data upstream. The problem this solves Direct Lake combines Import-like performance with near real-time data freshness by querying Delta tables in OneLake and loading data into memory as needed. But until now, if your model needed a derived column, you had only two options: push the logic upstream into the data source or move the table to a different storage mode. Calculated columns close that gap – you can now define columns directly in the semantic model using DAX without leaving Direct Lake. What you can build Common use cases include: Derived values, such as an age calculated from a birth date. Concatenating fields, such as city and region into a single field for slicers. Formatted dates like Month-Year for grouping in visuals. Multilingual reports using data translations with USERCULTURE(). Personalized content based on functions like USERPRINCIPALNAME(). Examples 1. Age = DATEDIFF( DimCustomer[BirthDate], TODAY(), YEAR ) 2. Customer Location = DimCustomer[CityName] & ", " & DimCustomer[ContinentName] 3. Month Name = FORMAT( DimDate[FirstOfMonth], "mmmm", USERCULTURE() ) The first two return the same value for every user unless security context differs. The third adapts to the language of the person viewing the report – see Month Name. Calculated columns now have a new Expression Context property. Direct Lake calculated columns support User Context expression context only. With User Context: The expression is evaluated when a user queries the model. Evaluation respects row-level security (RLS) and object-level security (OLS). Expressions that do not reference user-aware DAX expressions or secured columns typically return the same value for every user. Considerations: Cannot be used in relationships. Direct Lake calculated columns are evaluated at query time and do not materialize. Because of this, they cannot be used as relationship keys. Build relationship keys in the Delta table when needed. Do not observe filter context. Calculated columns return a fixed value for each row and do not respond to report filters or slicers. Use a measure when the result must change based on report interactions. Unlike standard calculated columns, Direct Lake calculated columns are evaluated in the current user's security context. This means calculations automatically respect RLS and OLS. Security behavior across expression contexts The security difference is easiest to see with a column that references a protected value. Consider a model where OLS hides DimCustomer[Education] from a "NoEducationOLS" role, and a calculated column derived from it: Is Graduate = IF( DimCustomer[Education] = "Graduate Degree", "Yes", "No" ) The result depends on the expression context: Import - Standard Import - User Context Direct Lake - User Context Observes OLS No Yes Yes Result for a restricted user "Yes" or "No", derived from the hidden value Column not available Column not available With Standard, a restricted user still sees the derived answer and the protection is effectively bypassed. With User Context in both Import and Direct Lake, the reference to the secured column is evaluated within the user's security context, so the restricted user does not see the derived column. The sensitive value is never exposed. Import – Standard Expression Context Import – User Context Expression Context Getting Started Calculated columns for Direct Lake are available in preview. Open a Direct Lake on OneLake semantic model in the web or Desktop, create a calculated column, and begin modeling directly in DAX. To learn more, see the Create calculated columns in Power BI Desktop documentation.
NYC Fabric Community| Jonathan Stewart | Build the Semantic Model on Data That Doesn't Exist Yet
Explore how to test and validate semantic models in Microsoft Fabric before go-live, without using production data. Test and validate semantic models in Microsoft Fabric before go-live. Learn how synthetic, schema-aware data can reproduce the cardinality, relationships, scale, and edge cases your model will face in production, helping you uncover performance and modeling issues before go-live. We'll explore how to: Generate production-scale synthetic data without exposing PII Preserve realistic relationships, cardinality, and data skew Load-test semantic models before production data exists Identify relationship and performance issues hidden by small dev datasets Validate Direct Lake behavior at realistic scale Build and run a profile-encode-generate workflow in your own Fabric environment Use Spindle to generate relationally correct Delta tables directly in OneLake Let’s learn, connect with the Fabric community, share experiences, and discover how production-scale synthetic data can help you build, test, and validate Fabric solutions with confidence, before production data arrives!Leverage your Data engineering work with Direct Lake in Microsoft Fabric
Description Today organizations have invested efforts and resources in Data engineering through Synapse or Azure Databricks. The session talks about how one can leverage existing data engineering work to get better value from Microsoft Fabric from get go. Session Date: February 28, 2024 Time: 1800 CET Speaker: Sanjay Raut @ Microsoft's Fabric CAT Speaker Bio: Sanjay Raut is Principal Program Manager on Fabric Customer Advisory Team (aka Fabric CAT). Sanjay has been working on SQL DW /BI for more than a decade expanding from SQL DW and Synapse dedicated pool to SSAS tabular and Power BI. As a part of Fabric CAT he has been working closely with some of the big enterprises in Retail and Consumer Product Group. His recent work has been with Synapse Analyzer, the best practice report for Azure Synapse Dedicated Pool. To attend, mark yourself as “Going” on the event page and add to your calendar. The join link will be shared closer to the session date. Check back here at session time for the link. We look forward to seeing you at this exciting session!
Fast and Furious: Power BI Direct Lake in Fabric
Microsoft Fabric is a "SaaSified" analytical suite, and one of the features it brings to Power BI is the new type of connection called Direct Lake. Direct Lake not only performs fast, but it comes with other benefits, too. Well known Microsoft trainer and expert Reza Rad will explain what the Direct Lake is, its benefits, and how it works. Reza will show an example of Direct Lake connected to Lakehouse and Warehouse, the way it can work with Mirroring in the Warehouse, and many other aspects. Of course there will be discussions on the differences between these two objects too! The session will include live demos, plus slides. You'll learn about: • Lakehouse • Warehouse • Mirroring • Power BI Direct Lake • Performance considerations • Fabric Reza Rad is a Microsoft Regional Director, an Author, Trainer, Speaker, and Consultant. He has a BSc in Computer engineering; he has more than 20 years of experience in data analysis, BI, databases, programming, and development mostly on Microsoft technologies. He is a Microsoft Data Platform MVP for 13 continuous years (from 2011 till now) for his dedication to Microsoft BI. Reza is an active blogger and co-founder of RADACAD. Reza is also co-founder and co-organizer of the Difinity conference in New Zealand, the Power BI Summit (the biggest Power BI conference), and Data Insight Summit (Chicago, USA)Direct Lake Migration & Semantic Link Labs
In this session, you will learn how to migrate an import or DirectQuery semantic model to Direct Lake mode, leveraging the newly released semantic-link-labs python library for Fabric notebooks. Additionally, other feature capabilities within semantic-link-labs will be introduced which are geared towards semantic model development and optimization. Tentative Agenda (subject to change, all times listed are in Pacific Time) 7:45am Teams Meeting opens 8:00am-8:05 am Welcome 8:05am-9:05am Feature Presentation 9:05am-9:10am Wrap-up Registration: This meet-up will be hosted on Microsoft Teams and recorded for those who cannot attend live. To access the Teams Meeting link, you must RSVP for the event. Joining the event: Attendees can join the Teams Meeting starting at 7:45 am PST on the event day. The event will begin at 8:00 am PST. Please ensure you are on mute to minimize background noise and distractions. During the presentation, type your questions and comments into the chat area, which the event hosts will monitor. There will be a Q&A session at the end, where you can unmute your mic and share your video to ask questions.Fabric Product Team present | Exploring Direct Lake mode
Phil Seamark will introduce Direct Lake mode in Fabric, highlighting its key features and benefits. He will also compare Direct Lake mode with other connection modes, such as Import and DirectQuery, to help you understand the advantages and use cases for each. Perfect for data professionals looking to optimize their data workflows and enhance performance.Governance and Direct Lake in Fabric
Join us for our NEXT Microsoft Fabric Meetup event in May. Event Details Date: Thursday, 21st of May 2026, 6 p.m. Location: Microsoft Office, Hamburg Food and Drinks Provided Agenda 18:00 – Arrive, grab a drink, and find your spot 18:15 – Governance Quest Fabric (Power BI) – requesting a license, enabling Excel export, a slow report... sounds like three simple IT tickets. It isn’t. Behind each of these requests lies a decision that goes far beyond technology and the wrong answer costs you valuable lives. In this session, Fabric (Power BI) governance becomes a real experience: instead of slides, there are cards. Instead of just listening, you actively play. With the “Governance Game” a custom-designed card game built around Microsoft Fabric (Power BI) you and the other participants make decisions based on real-life scenarios from the Fabric world. Who is responsible? What comes first? And why is the seemingly obvious technical solution almost never the right first step? The answers will surprise you and so will the discussions at your table. If you miss this session, you’re not just missing a game. You’re missing the insight that will make every future Fabric decision in your organization easier. Speaker: Kathrin Borchert - May the POWER of Fabric BI with you! || MVP for Power BI & Fabric || Master Chief @YoDaBI || Speaker || Trainer || Coach || Ca-t-ech-fluencer 19:00 – Short Break 19:15 – Direct Lake in Microsoft Fabric – Hype, Reality, and Best Practices Direct Lake is one of the most exciting building blocks in Microsoft Fabric: no traditional import, no Power Query, and direct queries on Delta tables in OneLake. It sounds like the perfect storage mode—but is it really? In this meetup, we will take a closer look at Direct Lake and position it realistically in comparison to Import and DirectQuery. Using short demos and real-world examples, we will discuss key prerequisites (including the concept of a Semantic Model Ready Gold Layer), the topic of DirectQuery fallbacks, memory and column loading behavior, as well as the dreaded “guardrails.” We will also cover performance considerations at every level—both for the underlying physical Delta tables and for the data modeling itself. Speaker: Dirk Seifert - Data Analytics Engineer @ Obungi & Matthias Hufnagel - Power Platform Consultant @ Obungi 20:00 – Discussion & Drinks Engage with our speakers and participants in discussions while enjoying some refreshments. Don't miss this opportunity to enhance your Microsoft Fabric expertise, exchange ideas, and network with the community. We look forward to seeing you there!Power BI September 2025 Feature Summary
The Power BI September 2025 Feature Summary introduces updates for users and coincides with FabCon Vienna! This release introduces several key enhancements, including, updates to Copilot and AI capabilities such as the standalone Copilot default-on experience, and important changes to default visuals like the Bing Maps Visual icon. Dive into the details to discover how these innovations can elevate your Power BI experience. Contents Events and Announcements Get certified in Microsoft Fabric Power BI DataViz World Championships – happening live at FabCon Vienna! Copilot and AI Standalone Copilot to default-on Auto-selection of Copilot workspaces Save Explorations to pro workspaces Find Power BI reports in M365 Copilot search improvements Prep data for AI coming soon to the Power BI service Reporting Enhanced DAX Time Intelligence (Preview) Performance analyzer available when editing a report in the web Translytical Task Flows are now enabled by default in Power BI Modeling Editing semantic models in the Power BI Service (Generally Available) Live editing Direct Lake semantic models with Power BI Desktop (Generally Available) TMDL view (Generally Available) Download PBIX of XMLA altered semantic models Fabric Notebooks for Power BI: Best Practices Analyzer and Memory Analyzer (Generally Available) Direct Lake on OneLake + import in web modeling (Preview) Direct Lake on OneLake + import in Desktop DAX User Defined Functions (Preview) Refresh data or schema options in Power BI Desktop Power BI content shared in Teams now opens in a separate window Mobile NFC tag support in Power BI Mobile (Generally Available) Other New Tenant Setting for Set alert button visibility Visualizations ADWISE Advanced Column v 2.0 Zebra BI Tables: Calculated Reports in One Click and Brand Images Word Cloud by Powerviz Drill Down Combo Bar PRO by ZoomCharts CAGR Arrows Now in Zebra BI Charts Closing Version number: v: 2.147.909.0 Date published: 09/15/2025 Events and Announcements Get certified in Microsoft Fabric Join the thousands of other Fabric users who’ve achieved over 50,000 certifications collectively for the Fabric Analytics Engineers and Fabric Data Engineers roles. To celebrate FabCon Vienna, we are offering the entire Fabric community a 50% discount on exams DP-600, DP-700, DP-900, and PL-300. Request your voucher. Power BI DataViz World Championships – happening live at FabCon Vienna! Four finalists are taking the stage at FabCon to compete for the title of world champion! FabCon Vienna Power BI Dataviz World Championships – and the winner is... Congratulations to Paulo Grijó! Read more about the finals and all four finalists. Copilot and AI Standalone Copilot to default-on The standalone Copilot experience for Power BI, also known as chat with your data—is a full-screen, chat-based AI experience that finds data and answers questions about any report, semantic model, or Fabric data agent you have access to. The standalone Copilot experience will be enabled by default for all tenants where Copilot has already been turned on. If you would like to opt out, If your tenant admin has enabled this setting: Users can use Copilot and other features powered by Azure OpenAI—this setting will be automatically enabled in September: Users can access a standalone, cross-item Power BI Copilot experience (preview). We understand that some organizations are still preparing their data for AI and configuring what Copilot can access. You can opt out, here’s how: Turn the setting on in the admin portal, then immediately turn it off. This action tells us that you prefer to enable the standalone Copilot later, and we’ll skip the automatic default-on for your tenant. Auto-selection of Copilot workspaces If you don’t have access to a Fabric Copilot Capacity (FCC), you can still use the standalone Copilot experience. However, you’ll need to manually select a Copilot workspace for billing and usage tracking. This step has caused confusion for many business users, as workspace names, eligibility rules, and billing details are often unfamiliar. Beginning in late September, Copilot will automatically assign a workspace to each user, allowing them to access their environment without additional steps. You will still have full control to change their selection at any time, but the automatic selection will clear a roadblock and make it easier to start getting insights from Copilot. How auto-selection works Smart distribution: We generate a partially randomized list of workspaces, weighted toward those with more available capacity. This helps balance usage and avoids overloading any single capacity. Eligibility check: We’ll pick go down that list and pick a workspace tied to a capacity that meets Copilot requirements (in short, F2 or higher, in a supported region, enabled for use with Copilot). Persistence: Once selected, the workspace stays set across sessions. Fallbacks: If the workspace is later disabled for Copilot, we’ll automatically reassign a new one and alert the user. If an FCC becomes available, it will always override the auto-selected workspace. User control: A dismissible notification will let users know which workspace was chosen, with a direct option to change it. mber_2025_Feature_Summary You can also update it anytime via More > Manage workspace in the standalone Copilot experience. Why this matters This update clears friction for business users who want to use Copilot but don’t know (or need to know) the intricacies of capacities and workspace settings. By auto-selecting a workspace, we help them get straight to the insights they care about—while still giving admins and power users the flexibility to make changes as needed. Save Explorations to pro workspaces Previously, you could only save Explorations to Premium workspaces. Now, you can also save them for Pro workspaces as well. This makes it easier to save and share insights gained during your exploration. Find Power BI reports in M365 In the July 2025 Power BI Feature Summary, we announced the extension of the Power BI and M365 integration to further improve Power BI item discovery and search relevancy in M365 Copilot experiences & Office search. This expansion will empower consumers to locate their Power BI reports and data directly from M365 environments where they already work. Since then, we’ve made significant progress; users can now find Power BI reports by searching for a variety of report content in both Microsoft 365 Search and Copilot. Now, searching for a report title, description, chart title, or other contextual details within the report will display relevant Power BI items in M365, simplifying the process of finding reporting resources for daily data-driven decisions. Search for Power BI items in the M365 Copilot Search Search for Power BI items in the M365 Copilot Chat To learn more about how to share Power BI data with M365 for your organization, refer to the Share data with your Microsoft 365 services documentation. Copilot search improvements Copilot report descriptions make it easier to identify which report can answer your question without needing to open each one for verification. When the report author hasn’t added an item description, Copilot will provide a descriptive caption in Copilot search lists. Search prefers items that have been Prepped for AI. When content creators update the Prepped for AI setting to indicate that a semantic model is ready for use with Copilot, search is now boosting that prepped content (both the model, and all reports that use it). Content that’s ready for Copilot will be preferred in Copilot search over equally relevant Certified & Promoted content. In addition, we’ve sped up the delay in applying the prepped status of the model to the report from 24 hours to under 1 hour (but usually just a few minutes) in most cases. Hints for item types and workspaces, Copilot search returns results that are semantically like your question’s topic, which can be helpful when you don’t quite remember the report’s name. But often we remember other information that could help narrow the search. Copilot can now recognize the key concepts of workspaces and item types, which you can use to guide search. If you’re looking for a semantic model you created ages ago to model effective advertising spend, you might ask: ‘Find semantic models with fields about campaigns, ROI, and impressions'. Or, if you want to prefer content in a particular location, you might say: ‘Summarize quarterly sales, from the workspace East Coast Only’. This won’t act as a strict filter, so if you have a workspace called ‘Excluding East Coast’, you might see results from that workspace because the workspace names are similar. Copilot search responses will now prefer to surface just reports and data agents when the user doesn’t specify. Copilot can still use the report’s semantic model to answer the user's question, but in this way, we’re focusing on items that users are more likely to recognize. Updates to support filter pass-through, you may have already noticed updates in how verified answers show up in our search lists. These changes are purposeful and support Copilot in honoring filter context. For example, when a question about tourism on O’ahu is submitted, it is useful if search indicates that someone has already verified the answer to a similar inquiry. If information is needed for a different island, and that selection is available as a filter in a commonly used report, Copilot can be directed to use that specific report. In the following example, the verified answer is used as a starting point but filtered to directly answer my original question. You can find the filters applied to the visualization. When you use Copilot to search, you'll now see recommendations for what to do next, such as summarizing the report or providing an overview of the key metrics. Learn more about these features and how Copilot search works in the Find content with Power BI Copilot search documentation. Prep data for AI coming soon to the Power BI service In the coming weeks you will be able to prepare your data for AI directly in the Power BI service. Making it easier to keep your semantic models Copilot-ready without switching tools — and it unlocks additional model types you can prepare, including Direct Lake models and more. With prep data for AI features available in the service, you will be able to: Select a Copilot schema Set up and manage Verified Answers Add AI instructions To use these features: In the Power BI service, select the semantic model you want to prep. On the model page, select the Prep data for AI button in the ribbon. When you’re ready, don’t forget to update the model setting so users in your organization can start using Copilot with confidence. Reporting Enhanced DAX Time Intelligence (Preview) A brand new, calendar-based approach to time intelligence in Power BI has arrived! With this update, you can now define custom calendars—such as fiscal years or 4-5-4 retail calendars—directly in your data model. This gives you precise control over how your data maps over time, enabling more accurate and flexible analysis. What’s more, it allows you to do week-based calculations as well! Basic example using a Gregorian calendar How to use calendars to perform a total month-to-date calculation on a Gregorian calendar: To get started, simply turn on the 'Enhanced DAX Time Intelligence' feature in preview settings. Select Calendar options from the context menu on your date table. Create a calendar by associating columns in your date table into categories. Example: The Gregorian Calendar below maps the Year, Quarter, Month, Month of Year and Date categories to primary and associated columns (Columns can be named as desired). Perform calculations based on your calendar. Example: If you have a calendar called ‘Gregorian Calendar’ defined in your model, you can use TOTALMTD to calculate a month-to-date total sales value based on that: Sales MTD = TOTALMTD ( [Total Sales], 'Gregorian Calendar' ) In addition to expanding existing functions with support for calendars, we have also added brand new functions that allow you to do week-based calculations as well, such as TOTALWTD, PREVIOUSWEEK and more. Show your result in a visual. Example: This chart shows the Total Sales and Sales MTD value we calculated previously. Working with fiscal calendars Many calendars, particularly fiscal calendars, are shifted Gregorian calendars, in which the year does not being on January 1 st , but for example on July 1 st . Microsoft is an example of a company that uses a shifted fiscal calendar. In this case, a date table would include columns for the fiscal periods, such as fiscal year, fiscal quarter and fiscal month: Now, you can define a Fiscal Calendar: endar You can use the calendar in our calculations, for example, this calculates the SAMEPERIODLASTYEAR value using the Fiscal Calendar: Sales Same Period Last Fiscal Year = CALCULATE ( [Total Sales], SAMEPERIODLASTYEAR( 'Fiscal Calendar' ) ) This can then be visualized as follows: Week-based calculations As mentioned, you can now also perform week-based calculations, including 454 and other patterns. After making sure your data table contains week information, associate the relevant categories in your calendar as done below for a 454 calendar: Next, create your DAX calculation, for example, a week-to-date calculation can be made using TOTALWTD: Sales WTD 454 = TOTALWTD ( [Total Sales], 'RETAIL-454' ) The column chart shows the actual and the week-to-date sales value based on our RETAIL-454 calendar. There is much more to learn about this feature as it allows for a lot of advanced scenarios. Learn more about this preview in our time intelligence documentation and try it out in your next report and let us know what you think! Performance analyzer available when editing a report in the web Performance analyzer is now available in the web report editing experience and provide information on visual load times. Load times update as you interact with the report. Copy the DAX query from any visual to troubleshoot even further. Previously accessible in Power BI Desktop, this feature now allows users to observe report performance after publication. To learn more, refer to the Use Performance Analyzer to examine report element performance in Power BI Desktop documentation. Translytical Task Flows are now enabled by default in Power BI As a refresher, Translytical task flows, released in May 2025, marked a major evolution in Power BI by allowing users to act on insights instantly without leaving the report. Powered by Fabric User data functions, Translytical task flows allow users to automate tasks such as updating records, dynamic notifications, and even triggering workflows across other systems. To learn more about Translytical task flows, refer to the Understand translytical task flows documentation. Modeling Editing semantic models in the Power BI Service (Generally Available) This milestone unlocks end-to-end Power BI authoring directly in the browser, bringing core modeling parity between the web and Desktop experiences. Yes, that means Mac users can now model in Power BI, no Desktop required! What’s Supported? Create from scratch in the web - You can create net new import semantic models and reports directly in the browser! Navigate to the ‘Create’ page and select ‘Get data’. Choose from over 100 supported connectors to bring in your data, shape it with Power Query, build your semantic model, and design your report. Edit existing semantic models - The Power BI service now offers advanced modeling capabilities, including: Adding new import tables to your model Transforming import tables using the full Power Query editor Refreshing schema and data Managing relationships Writing and editing DAX measures, calculated columns, calculated tables, and calculation groups Editing properties in the properties pane Defining and assigning row-level security roles This release enables core modeling features in both Power BI Desktop and the web, allowing you to build and manage models easily from anywhere. To learn more, refer to the Edit semantic models in the Power BI service documentation, or the Deep Dive into Editing Semantic Models in the Power BI Service (Generally Available) blog post. Live editing Direct Lake semantic models with Power BI Desktop (Generally Available) This capability allows you to use the familiar Power BI Desktop interface to edit Direct Lake semantic models. All processing occurs in your Fabric workspace, directly against OneLake data, using the Power BI Analysis Services engine instead of your local machine. With live edit, every change you make, whether creating new measures, adding calculation groups, defining relationships, running DAX queries, and more, is applied directly to the semantic model in Fabric, ensuring a seamless, scalable modeling experience. Getting started is easy You can begin in Power BI Desktop or from the web: Start from Desktop Open the ‘OneLake data hub’ in Power BI Desktop. Select your Direct Lake semantic model. From the ‘Connect’ button drop-down, select ‘Edit’. Start from the web: In the web experience, select ‘Edit in Desktop’ for the Direct Lake semantic model you have opened. This will launch Power BI Desktop with the semantic model ready for editing. To learn more, refer to the Direct Lake in Power BI Desktop documentation, or the blog post. TMDL view (Generally Available) TMDL view introduces a modern code-first editing experience for Power BI semantic models using the Tabular Model Definition Language (TMDL). A user-oriented modeling language designed to enhance transparency, governance, and efficiency in the development of semantic models. With TMDL view, you can easily make batch updates using simple find-and-replace operations or leverage your preferred generative AI tool to create or modify TMDL code at scale. General availability introduces several notable enhancements: Full code highlighting including DAX and M (Power Query) Execution status in the script tabs For more information about TMDL view and full list of capabilities, please refer to our Work with TMDL view in Power BI Desktop (preview) documentation. Download PBIX of XMLA altered semantic models A key goal of the TMDL view work was to ensure Power BI Desktop can reliably handle any semantic model configuration. If the model is valid in Analysis Services in a Fabric workspace, it can be opened and edited in Power BI Desktop without crashing. Semantic model metadata not accessible through the user interface - such as multiple table partitions - can still be edited using TMDL view. Previously, users could use the XMLA endpoint with external tools to make semantic model changes - such as creating multiple partitions - that were supported by Fabric but not by Power BI Desktop. This mismatch often caused Power BI Desktop to crash, which is why downloads were blocked for XMLA altered semantic models. Now that TMDL view is generally available, we’ve removed this limitation. You can now download PBIX files for semantic models modified through the XMLA endpoint, and open and edit them in Power BI Desktop. This update does not mean that all semantic models are now downloadable as PBIX files. For example, semantic models with incremental refresh partitions are still not supported for download, this will be addressed in a future update. For more details on PBIX download limitations, please refer to our Limitations when downloading a report .pbix file documentation. This feature is currently rolling out and may not be fully available in all regions or for all users yet. We appreciate your patience as we complete the deployment over the coming weeks. To learn more, refer to the Open and edit any semantic model with Power BI tools blog post. Fabric Notebooks for Power BI: Best Practices Analyzer and Memory Analyzer (Generally Available) These one-click experiences make it easy to use Fabric Notebooks and Semantic Link to analyze your semantic models directly on the web. Best Practice Analyzer evaluates models using more than 60 rules across five categories: performance, DAX expressions, error prevention, maintenance, and formatting. It provides guidance on design and performance based on these criteria. Memory Analyzer provides detailed memory and storage statistics for tables, columns, hierarchies, partitions, and relationships, helping you identify optimization opportunities. We would like to give a special shoutout to the Power BI community members whose contributions laid the foundation for these tools: Daniel Otykier – creator of Best Practice Analyzer in Tabular Editor Marco Russo – developer of VertiPaq Analyzer Michael Kovalsky – builder of semantic link labs powering these notebooks Explore the Power BI Community Notebooks Gallery to discover and share notebooks that enhance data analysis and reporting with the Power BI Community. Learn more about using notebooks with your Power BI semantic models including details on this feature and its limitations in the Use notebooks with a semantic model documentation. Direct Lake on OneLake + import in web modeling (Preview) Semantic models edited in web modeling now have full flexibility of both Direct Lake on OneLake and import table storage modes. Open a semantic model with either Direct Lake tables or import tables and add in additional tables from either storage mode. Choose Get Data to add in import tables from any of the 100s of connectors supported. Choose OneLake catalog and add in Direct Lake tables from any of the Fabric data sources you have access to, including Lakehouses, Warehouses, Mirrored databases, Mirrored Azure Databricks catalogs, and SQL databases in Fabric. Summary Once in import storage mode you can transform the table further in Power Query and add in calculated columns to get your reporting where it needs to be. Hierarchies added to import tables also can be used in Analyze in Excel. To learn more, refer to the Direct Lake overview documentation. Direct Lake on OneLake + import in Desktop Power BI Desktop can also live edit semantic models with both Direct Lake and import tables. Edit relationships, add measures, and adjust column and table properties right in Power BI Desktop. To learn more, refer to the Direct Lake overview documentation. DAX User Defined Functions (Preview) Power BI has long supported custom functions in Power Query, however now DAX User Defined Functions (UDFs) provide similar capabilities. DAX UDFs allow you to define custom functions with parameters, just like you would define functions or methods in programming. Instead of copy-pasting chunks of logic across multiple measures, you can now write your logic once and reuse it everywhere. Complex problems can be encapsulated by multiple reusable functions. Functions can even refer to other functions! This way, your logic becomes easier to write, understand, maintain and debug. Whether you are working on complex models or just want cleaner, more maintainable code, DAX UDFs are for you. Up to this point, the reusability of DAX logic was limited to calculation groups. DAX UDFs, however, unlike calculation groups, can be parameterized. Getting started with DAX UDFs To get started, simply turn on the ‘DAX User Defined Functions’ feature in the preview settings. You can define DAX UDFs in multiple ways, including the DAX Query View and TMDL view. Defining and using a function Defining a function is straightforward as we have introduced a new FUNCTION keyword. The general structure for defining a function is: /// [function description] FUNCTION <FunctionName> = ( [parameter name] : [parameter type] ) => <body> For example, here is a DAX query that defines and evaluates an extremely simple function that applies a 10% tax to an amount. DEFINE /// AddTax returns the amount including tax FUNCTION AddTax = (amount) => amount * 1.1 EVALUATE { AddTax(11) } // Return 11 After adding the function to the model, you can then call the function from other places where you can use DAX, such as measures: Parameters Just like built-in functions, DAX UDFs can take zero or more parameters. You can also provide the type of the parameter, so your functions are much more resilient. For example, to identify that our AddTax function expects a numerical value, we could write. DEFINE /// AddTax returns the amount including tax FUNCTION AddTax = (amount: numeric) => amount * 1.1 Parameters can not only take scalar values but also accept tables and even expressions. Type checking To make DAX and TMDL/TMSL more consistent, we have introduced a set of new functions to do type checking and updated the DATATABLE, CONVERT and EXTERNALMEASURE functions have been updated to work with all synonyms as well. For example, we now have added ISSTRING, which is an alternative to, ISTEXT and ISNUMERIC which is a complement to ISNUMBER. A complete list is available in our documentation. Managing DAX UDFs Functions are shown in the model explorer: In DAX Query View, we even added quick queries, so it’s even easier to define and evaluate existing functions or write a brand new one. The possibilities are endless DAX UDFs open a whole new spectrum of options, and this blog cannot do it justice. We encourage you to enable the preview today and try it out for yourself. Read more in the Power BI DAX User Data Functions documentation. Please let us know what you think. We are looking forward to seeing all the creative uses of UDFs! Refresh data or schema options in Power BI Desktop When you select ‘Refresh’ in Power BI Desktop, it always performs a schema sync first, followed by a data refresh. While this behavior is convenient in most cases, there are scenarios where you may want to refresh the data without updating the model schema, even if the data source has changed its schema. For example, in Direct Lake semantic models, the underlying Lakehouse table might have changed (e.g., a new column added). You may want the latest data but prefer not to bring new columns into the model. With this month's update, you now have more control over the refresh operation. You can choose to: Sync schema only – Updates the semantic model to reflect the data source structure (e.g., column type changes or new columns). Refresh data only – Loads fresh data while preserving the current schema in your semantic model. These options are also available when you refresh tables individually in the data pane: This added flexibility helps you manage your models refresh operations more intentionally, based on your specific needs. For more information about Power BI Desktop refresh, refer to the Data refresh in Power BI documentation. Power BI content shared in Teams now opens in a separate window In this month's update, when you open a Power BI item which was shared with you in Teams chat or channel, it now opens in separate window—so your chat and other Teams apps stay exactly where you left them. Previously, opening an item from a Power BI preview card would replace your Teams chat, making multitasking difficult. With this update, items shared in a chat open in a separate window, while your original chat remains visible in a collapsible side panel. You are now able to access data, maintain ongoing conversations, and utilize additional Teams applications simultaneously. Figure - A user selects 'Open' on a Power BI report preview card within a Teams chat. The report launches in a separate Teams window, while the original chat remains accessible in a collapsible side pane. To learn more about Power BI preview cards in Teams, refer to the Link preview cards in Microsoft Teams chats and channels documentation. Mobile NFC tag support in Power BI Mobile (Generally Available) Imagine being able to access your important data just by tapping your device on a small tag. That’s the power of NFC (Near Field Communication) tags. NFC Tag Support is now generally available in the Power BI Mobile app on supported devices! This feature allows you to register and read Power BI items such as reports, scorecards, dashboards, or even a set of items like an app or workspace on NFC tags directly from the app. With NFC you can create a seamless connection between your data and the physical world. For example, a retail manager could quickly access inventory data by tapping their phone on an NFC tag placed on a storage shelf. This feature is especially useful for frontline workers who need quick access to data while managing retail floors, inventory, or manufacturing processes. Getting started is easy: open the Power BI Mobile app, navigate to the item you want to register, press the Register to NFC button in the 3 dots menu, and follow the prompts to link it to an NFC tag. Once you’ve registered your desired item to the tag, anyone with the Power BI Mobile app can get to the item simply by tapping the tag with their device, whether the app is open or not. If the user doesn’t have permission to access the item, they’ll be taken to the request access flow. NFC tags are affordable, flexible, durable, and reliable, and can easily be reused. To learn more about NFC support in Power BI mobile, refer to the Connect data to physical locations with NFC tags documentation. Other New Tenant Setting for Set alert button visibility A new tenant setting, all Power BI users can see ‘Set alert’ button to create Fabric Activator alerts, is rolling out this week. This setting will give admins more control over which users can view the Set alert button, which allows users to create Fabric Activator alerts on their visuals, sending real-time notifications based on predefined data conditions. When enabled, all Power BI users will see the ‘Set alert’ button in reports. When the setting is turned off, the button will only be visible to users with tenant-level Fabric access, which was the group of users who could see the button prior to this change. Regardless of whether the setting is turned on or off, only users with permission to create Fabric items can set up Fabric Activator alerts. The benefit of turning this setting on is that it allows users for whom Fabric was enabled for only specific capacities to also set alerts, unlocking the power of real-time alerting for more Power BI users. This setting is currently disabled and will be turned on by default the week of October 13th. Visualizations ADWISE Advanced Column v 2.0 Advanced Column is easy to use column chart for comparing one or more values with clearly interpretable difference lines. It is best suited for comparison of values between time periods, categories or quantities. This visual presents the following features: Chart types - stacked, clustered and nested/chimney charts in one visual. Difference lines – lines to clearly show difference above compared columns with values in specific shapes, all configurable (percentage/absolute difference, colors, borders, rounded corners, lines share starts/ends). Top N selection Built in – Easily display key data by selecting the Top N columns or Top N segments within each column + the "rest" part of the data. Total Column - It is not necessary to display separate KPIs for totals, as the Total column is already included in the chart. User controls – Enable/disable viewer change of Top selections (how many to show, highest/lowest) and Total Column calculation. Enable and Add Icons – Icons make charts easier to read by visually representing column categories, you can add icons directly in the visual using the built-in icon picker. And other formatting - Axis Y break, thousand and decimal separator, interaction with other visuals, empty data screen, animations, gradient background, shadows, transparency. Try from AppSource. Zebra BI Tables: Calculated Reports in One Click and Brand Images The latest update to Zebra BI Tables introduces two powerful features that streamline report building and enhance data storytelling: row calculations from the data model and brand images in rows. Check out the demo video: Zebra BI May 2025 Update: One Click P&L and Brand Logos in Zebra BI Tables With the new zero-click reporting functionality, users can now define calculation logic (such as invert, result, skip) directly in the Power BI data model. Simply add a column to your dataset, define the logic with symbols (“=” (Result), “/” (Skip), “-” (Invert)), and with a single drag and drop add it to Zebra BI Tables. The column values will automatically be applied as calculations on the visual, eliminating the need for additional manual setup. It makes the creation of reports like P&Ls, balance sheets, inventory tracking, SaaS metrics, or sales dashboards dramatically faster and more accurate. Zebra BI Tables now also supports adding brand images instead of row labels. Especially valuable for consumer goods and retail companies, this feature makes reports more intuitive and engaging. By instantly recognizing brand logos, end users grasp insights faster and spend less time searching for context. These updates contribute to: Massive time savings. Error reduction. Standardized reporting across teams. Simplify your reporting with Zebra BI Tables and share your feedback. Word Cloud by Powerviz The new Word Cloud by Powerviz is available, an advanced visual which empowers you to create some of the most high-quality and creative word art in the Power BI. Key Features: Word Styling: Make your word clouds pop with personalized text styles. It offers font styling, direction & text editing features. Color Options: Choose from 30+ color palettes, including color-blind safe options. Shapes: Create eye-catching word clouds by selecting or uploading images. Exclude: Easily remove unnecessary words and symbols from the text to produce a clean and focused word cloud. Ranking: Filter out Top/Bottom N Words. Conditional Formatting: Easily spot words with dynamic rules. Lasso/Reverse Lasso: Select or deselect multiple words with ease. Grid View: Switch to an interactive table with sort, filter, and search features. Show Condition: Dynamically show or hide the visual based on conditions. Ideal for marketing, education, market research, and presentations—use it for sentiment analysis, SEO keywords, brainstorming, surveys, and engaging communication. Try Word Cloud visual for FREE from AppSource Check out all features of the visual: Demo_file Step-by-step instructions: Documentation YouTube Video: Video_Link Learn more about visuals: https://powerviz.ai/ Follow Powerviz: https://lnkd.in/gN_9Sa6U Drill Down Combo Bar PRO by ZoomCharts What makes Drill Down Combo Bar PRO the best custom visual for visualizing categorical data? It’s all about the drill downs – in Combo Bar PRO, you can create a hierarchy of up to nine category fields, and users can easily drill down by clicking directly on data. Deeper, more focused insights, but only when the user needs them. The visual is designed to provide top-notch user experience: the slick and intuitive on-chart interactions, the smooth animations, the seamless cross-filtering with other visuals, and full touch support all make Combo Bar PRO a crucial addition to your next report. And the best part? Combo Bar PRO supports up to 25 series, and each series can be visualized as bars, lines or areas. With a wide variety of customization options, you can create the perfect chart for your use case. We also recently published a guide on how to create different types of stacked charts with Combo & Combo Bar PRO, including stacked bar, stacked & clustered bar, bar & line, nested bar chart and more. For a more details, refer to our blog - Power BI Stacked Column Charts: A Full Guide! Get Drill Down Combo Bar PRO CAGR Arrows Now in Zebra BI Charts Compare multi-year trends across business units, products, or regions — instantly. The Compound Annual Growth Rate (CAGR) is a critical metric for visualizing growth trends in financial analysis, strategic planning, and performance comparison. Now available in Zebra BI Charts for Power BI, CAGR arrows make it easier than ever to communicate multi-year trends directly within your reports. They are especially useful in dashboards that track long-term results, helping users highlight growth patterns and shifts over time. When used in small multiples, CAGR arrows allow immediate comparison of performance across regions, product lines, or business units — all while maintaining a shared Y-axis for IBCS-compliant reporting. Each CAGR label includes a color-coded action dot — green for growth, red for negative — with the size scaled to reflect magnitude, offering an intuitive visual cue for trend strength. To simplify reporting even further, Zebra BI Charts automatically calculates the CAGR based on your underlying data. CAGR provides a smoothed view of performance over time, helping teams refine growth targets, align KPIs, and deliver executive ready insights with clarity and impact. To learn more, refer to Introducing CAGR arrows in Zebra BI Charts. Closing This concludes this month’s update. We hope the information provided in this update is useful. If you installed Power BI Desktop from the Microsoft Store, please leave us a review. As always, keep voting on Ideas to help us determine what to build next. We are looking forward to hearing from you!Power BI October 2025 Feature Summary
This month's update brings exciting opportunities for learning and community engagement, including the upcoming Fabric Data Days and the return of FabCon in Atlanta next spring. Notably, Power BI is making strides in mapping capabilities by transitioning from Bing Maps to Azure Maps, ensuring users have access to the latest features and support. Dive into the details to stay informed about what's new and what's ahead for Power BI. Contents Events & Announcements Fabric Data Days are Coming! FabCon is back from March 16-20, 2026, in Atlanta, GA General Bing Map deprecation plan & Update in Power BI Copilot and AI Copilot to write DAX queries in DAX query view (Generally Available) Reporting Button slicer (Generally Available) Visual calculations are now supported in embed for your customers (Preview) Automatically expand table columns to fill available space Introducing the new Power BI Controller in Power BI in PowerPoint (Preview) Performance analyzer in web to see the load times of visuals Data connectivity Export Query Results (Preview) Other Power BI Desktop is now supported on ARM Visualizations Sankey Chart by Powerviz Your Timeline Slicer: Reimagining Date Filtering for Modern Dashboards Drill Down Scatter PRO by ZoomCharts Multiple Sparklines Performance Bar by JTA Financial Reporting Matrix v8.2 BI Pixie by DataChant - Measure the Effectiveness of Your BI Assets in 6 Dimensions from Adoption to Security Events & Announcements Fabric Data Days are Coming! Take your Power BI skills to the next level and join us for 2 months of learning, contests, live sessions, discount exam vouchers and community connection. Sign up for our live session series to stay connected – it all kicks off on November 4 th . FabCon is back from March 16-20, 2026, in Atlanta, GA Join us for the ultimate Power BI, Microsoft Fabric SQL, Real-Time Intelligence, AI, and Databases community-led event. The third annual FabCon Americas will feature sessions from your favorite Microsoft and community speakers, keynotes, more opportunities to Ask the Experts for 1:1 support, an engaging community lounge with opportunities to network and connect with your peers, a dedicated partner pre-day, a packed expo hall, Power Hour, Data Viz World Championship, and a can’t-miss attendee party at the Georgia Aquarium. Register with code FABCOMM to save $200. General Bing Map deprecation plan & Update in Power BI To ensure a seamless experience and stay ahead of upcoming Microsoft’s plan to retire Bing Maps for Enterprise, Power BI is proactively transitioning from Bing Maps to Azure Maps. By making this change early, Power BI users will benefit from enhanced mapping capabilities and long-term support. We encourage customers to begin updating their reports to Azure Maps visuals to stay future ready. Power BI Desktop and Web (Edit- mode) Earlier, we shared plans to remove the Bing Maps icon from the Visualization pane. After reconsideration, we’ve decided to keep the icon visible for now to ensure continuity and minimize disruption. Please note that the Bing Maps visual is still slated for deprecation, and we’re currently discussing the timeline. Any existing Bing Maps already in your reports will still be available. In preparation for the upcoming change, upgrade to Azure Maps unless: You have team members who would consume the report in China, Korea, or government clouds. You're physically located in China or Korea (regardless of where your home tenant is located). You're part of a government cloud. We're working to support Azure Maps in these unsupported regions. If you and all report users are in a supported region, you're encouraged to start using Azure Maps now. Learn how to upgrade to Azure Maps. To see the list of supported regions, see Azure Maps service geographic scope. For more information about Azure Maps, see Get started with Azure Maps Power BI visual. Power BI Report Builder The migration of paginated reports map visuals from Bing Maps to Azure Maps has begun. This migration will occur in two phases: first, migrating to Azure Maps in PBIRB, followed by migration to Azure Maps for paginated reports in the service. The initial phase is complete. Beginning with the September release of PBIRB, users can create map visuals powered by Azure Maps by default. However, paginated reports published in the service will continue to use Bing Maps until phase two is completed. Phase two is expected to be completed by mid-November. Paginated reports authors can revert to Bing Maps for authoring in PBIRB until both phases are complete. To enable this, users must set the ‘RevertToBingMaps’ registry key located in the ‘Computer\HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Microsoft Power BI Report Builder’ folder to 1. If the ‘Microsoft Power BI Report Builder’ folder does not exist, it should be manually created before setting the registry key. Copilot and AI Copilot to write DAX queries in DAX query view (Generally Available) This innovative capability empowers users to leverage Copilot assistance directly within both the web and Desktop Power BI experiences, making DAX query creation easier and more efficient than ever before. Getting started is simple. In Power BI Desktop or Power BI web modeling, open the DAX query view and select the Copilot button. Describe the insights you are seeking, and Copilot generates the corresponding DAX query. Conversationally edit the DAX query with Copilot, run it as you go, and keep it when you are ready. The following screenshot shows Copilot helping to write a DAX query from the prompt ‘How are we tracking towards our targeted deliveries for each month?’ in DAX query view of Power BI Desktop. The DAX query results show by month the number of deliveries made, the target, attainment %, and variance to target. The next screenshot demonstrates how to write a DAX query to answer the user prompt ‘Can you indicate which month we were over target or under target on deliveries?’ in DAX query view of Power BI web modeling. The DAX query results show by month the number of deliveries made, the target, variance to target, and the status of each month as over or under target. Copilot is grounded in the semantic model, and AI instructions set on the model by Prep for AI. This includes verified answers by understanding the fields used and filters applied. Semantic model tables, columns, descriptions, display folders, hierarchy information, relationships, and measures are all known already to Copilot when creating DAX queries. Copilot to help write DAX queries is used in DAX query view, and in chat with your data experiences when a DAX query is returned as well as data agents when a semantic model is included. To learn more, refer to the Write DAX queries with Copilot documentation, and try it out today! Reporting Button slicer (Generally Available) Along with this release, we’ve added a few exciting enhancements to make your experience even better, including Cross-highlighting, Auto grid, and more. Cross-highlighting Like the Chiclet slicer, the Button Slicer now supports cross-highlighting to help you uncover deeper insights. This means the slicer can interact dynamically with other visuals on your report page by emphasizing relevant values and dimming unrelated ones. For example: If you select North America in a column chart, the Button Slicer will: Highlight buttons like Canada and United States (since they belong to North America). Dim all other countries to indicate they are outside the selection but keep them visible. To use this feature, simply drag a field into this new field, well called ‘Highlight label’ in the Build visual pane. You can now start interacting with now by simply selecting a value on a visual. For example, in the below example if you click on District L1-04 in the scatter chart, you will see the DM of the district L1-04 highlighted while other values are dimmed in the button slicer. Auto grid With the new Auto grid option turned on, your slicer layout becomes smarter. When enabled (and it is by default), the arrangement of rows and columns automatically adjusts based on a defined maximum limit, ensuring a clean and responsive design without manual effort. For example, following is the screenshot with Rows set to 5 and Columns set to 3 and Auto grid on: Auto grid With the new Auto grid option turned on, your slicer layout becomes smarter. When enabled (and it is by default), the arrangement of rows and columns automatically adjusts based on a defined maximum limit, ensuring a clean and responsive design without manual effort. For example, following is the screenshot with Rows set to 5 and Columns set to 3 and Auto grid on: Following is the screenshot with Auto grid Off: In addition to these updates, we’ve introduced several accessibility improvements to make Button Slicer more user-friendly and inclusive. To learn more about these enhancements and how to use them effectively, refer to the Create a button slicer (preview) documentation. Visual calculations are now supported in embed for your customers (Preview) Visual calculations are now supported in Power BI Embedded—specifically in the Embed for your customers scenario. This powerful enhancement brings even more flexibility and intelligence to your embedded analytics solutions. With visual calculations, users, developers and ISVs can now define custom calculations directly within visuals, without needing to modify the underlying data model or write complex DAX. This means faster iteration, more dynamic insights, and a smoother experience for end users. You can also hide/unhide fields on visual and set visual-level format strings. Automatically expand table columns to fill available space We’ve added a new option to table formatting that makes your visuals look cleaner and more balanced—automatically. With ‘Grow to fit’, any extra space in the visual is evenly distributed across existing columns when the total column width is smaller than the visual container. No more manual resizing to fill the gap. If your table isn't using the full visual width, you can manually resize columns or use Auto-size width, but now there's an improved solution. For example, this table doesn't fully utilize the available space: Navigate to the format pane under Column headers > Options, toggle Auto-size width to ‘On’, and set ‘Resize behavior’ to ‘Grow to fit’. Instantly, your table expands to make full use of the available space. The additional available space will be distributed across the columns: It’s a subtle upgrade that makes your data layouts cleaner, more balanced, and easier to read. Note that this will not interfere with any adjustments you make to column widths: once a column width is manually adjusted, it won’t be automatically expanded. Introducing the new Power BI Controller in Power BI in PowerPoint (Preview) This feature was developed in direct response to feedback from our user community and is designed to provide an efficient tool for managing multiple Power BI add-ins within PowerPoint presentations. Users can embed interactive reports and visuals into PowerPoint, supporting data-driven presentations across organizations. As adoption has grown, many of you expressed the need for a centralized mechanism to manage and update several Power BI add-ins across multiple slides. You told us that you are using Power BI add-in for PowerPoint to create data-centric presentations, which you are updating every week or month, and that going over all the add-ins in the presentation and repeating the same operation is time consuming. The Power BI Controller addresses this need by allowing users to execute bulk operations from a single interface. The Power BI Controller is a task pane add-in that serves as a central command center for all Power BI add-ins within a presentation. To get this add-in go to ‘Add-ins’ in PowerPoint ribbon and search for ‘Microsoft Power BI Controller’. Select ‘Add’ to add-in to your ribbon. Once you select it, a new panel will open with the list of commands that you can apply. Pick the command you wish to run and click ‘Apply’. This will trigger the discovery phase in which the controller will look for all Power BI content in the presentation and next the selected command will be executed on the discovered Power BI add-ins. To learn more, refer to View and Present live Power BI Data in PowerPoint. Performance analyzer in web to see the load times of visuals In September, we announced the availability of a performance analyzer pane on the web to see the load times of the visuals in your report where your users are going to be viewing it. Unfortunately, the rollout was delayed. This functionality will be available to your tenant in the next few weeks. To learn more about this new capability while editing a report in web, refer to the Use Performance Analyzer to examine report performance documentation. Data connectivity Export Query Results (Preview) Export Query Results in Power BI Desktop unlocks seamless data portability and collaboration across Microsoft Fabric. This feature empowers analysts to take transformed, cleaned data from Power Query and export it directly to trusted destinations - such as Dataflows Gen2, Lakehouses, and other cloud stores - without relying on complex workarounds or third-party tools. By meeting users where they work (Power BI Desktop) it reduces duplication of effort, accelerates data sharing, and drives interoperability across Fabric workloads. To enable this feature, select the Preview feature settings in Power BI Desktop. Users can select export query results from the PQ ribbon, Select an online destination, And export their queries to this destination, where they can choose to modify the Dataflow. The result is improved data gravity in OneLake, streamlined refresh and monitoring capabilities, and a minimal-click experience that supports both new and existing destinations. Ultimately, this feature bridges the gap between desktop analytics and enterprise-scale data integration, enabling organizations to maximize the value of their data investments. To learn more about how to use this feature: Export Query Results in Power BI Desktop | Microsoft Learn. Other Power BI Desktop is now supported on ARM Power BI Desktop is now supported on Windows on ARM PCs that have the 2025-09 Cumulative Update installed (KB5065789). Adding ARM support to Power BI Desktop brings powerful data analytics capabilities to a broader range of hardware—unlocking faster performance, improved battery life, and seamless experiences on modern, energy-efficient devices. Why ARM? As more users adopt ARM-powered laptops and tablets for their portability and efficiency, it’s essential that Power BI keeps pace. ARM support ensures smoother operation, better resource utilization, and a future-ready foundation for data professionals working across diverse environments. Whether you're building dashboards on the go or analyzing data from anywhere, Power BI Desktop on ARM makes it easier than ever. Visualizations Sankey Chart by Powerviz The Powerviz Sankey Chart is a dynamic flow diagram that visualizes the proportional movement of data, resources, or processes across categories or stages. With weighted connections and flexible layouts, it helps users uncover insights within complex systems. Key Features Chart Orientation: Switch seamlessly between vertical and horizontal orientation. Node Customizations: Control node appearance, spacing, visibility, and interactions for optimal clarity. Multi-Level Support: Add multiple levels to visualize layered, hierarchical flows. Data Colors: Access 30+ color palettes, including colour-blind-safe options. Fill Patterns: Highlight nodes with patterns or upload your own. Conditional Formatting: Highlight outliers with based on measures or categories rules. Smart Labels: Display data and header labels for enhanced readability. Hide Null Nodes: Instantly remove nodes with null or blank data. Image Labels: Add image URLs to show visuals inside or outside the nodes. Import/Export: Save and reuse themes easily. Templates: Use built-in templates or design your own. Other features included are Sorting, Ranking, Show Condition, Grid View and more. Business Use Cases Customer Journey Mapping, Expense Breakdown, Supply Chain Flow. Try Sankey Chart visual for FREE from AppSource Check out all features of the visual: Demo_file Step-by-step instructions: Documentation YouTube Video: Video_Link Learn more about visuals: https://powerviz.ai/ Follow Powerviz: https://lnkd.in/gN_9Sa6U Your Timeline Slicer: Reimagining Date Filtering for Modern Dashboards What problem are we solving? Dashboard real estate is precious, but traditional timeline slicers often consume too much space while lacking the flexibility today's data professionals need. After experiencing firsthand the limitations and occasional bugs of existing solutions, we built Your Timeline Slicer from the ground up to deliver what the Power BI community has been asking for. Why Your Timeline Slicer changes the game Our visual combines the familiar timeline functionality you know with breakthrough space-saving design - reclaiming up to 60% more dashboard space through ultra-compact mode. Beyond size, we have intelligent features that make reporting effortless: dynamic ‘Current Period’ and ‘Latest Available’ filtering that automatically focuses on what matters most, extensive customization options to match any brand or style, and rock-solid performance. Whether you're building executive summaries, financial dashboards, or mobile-first reports, Your Timeline Slicer adapts to your workflow - not the other way around. Ready to experience the difference? Download Your Timeline Slicer from AppSource and discover how smart date filtering can transform your dashboards. Based On Website Drill Down Scatter PRO by ZoomCharts What if exploring complex data was as easy as scrolling a smartphone app? You could make smarter and more interactive reports that allow more people (managers, C-suite, and other stakeholders) to take part in data analysis themselves and quickly find the insights they need for data-driven decisions. When designing our Drill Down Scatter PRO, we focused on three things: Incredible user experience: Freeform panning. Click to drill down. Scroll or pinch to zoom in. Multiple ways to select data. Scatter PRO makes it easy for anyone to navigate even the most complex data. On-chart Drill Down: Have hundreds or even thousands of markers? No problem – you can simplify your chart by using multiple category fields and combine smaller data points into large markers. Simply click on it to drill down and see more detailed insights on-demand. Customization: Scatter PRO offers all the necessary tools to create the perfect scatter plot for your report. Regression lines, marker, label, legend customization, tooltip content fields, reference lines and areas, and even shaded areas at your selected coordinates! Read more in our blog article. Get Drill Down Scatter PRO Multiple Sparklines With the Multiple Sparklines visual, you can design an Income Statement that is both insightful and visually compelling. 1st column displays Profit and Loss as a waterfall chart. 2nd column shows each item as a percentage of Revenue (common-size analysis). The 3rd column presents the past five-year trend. 4th column compares each item with the previous year. The 5th column benchmarks result against two major competitors. For a step-by-step tutorial on how to create this type of Income Statement, visit: Income Statement in Power BI Following is another example of an Income Statement Download this visual from APPSOURCE For more information visit https://www.excelnaccess.com/sparklines/ or contact [email protected] Performance Bar by JTA Take your Power BI dashboards to the next level with the Performance Bar by JTA, a clean visual for tracking progress and status briefly. Categories are displayed as streamlined horizontal bars with an optional markers and value label, making comparisons effortless. With simple customization to match your theme - and an optional total bar - it delivers a clear, modern way to tell your performance story. Key Features Bar customization: Configure bar height, colors, borders, and background to match your report theme. Flexible labelling: Show or hide individual labels and choose their position for clear, uncluttered reading. Adjustable scale: Change the scale to emphasize what matters most. Marker styling: Personalize circle markers (size, color, border) for highlights and targets. Marker styling: Personalize circle markers (size, color, border) for highlights and targets. Total Bar: Optionally display a summary bar for an at-a-glance overall view. Configurable tooltips: Define exactly which fields appear and where tooltips show up. Subtle animation: Bring bars to life with a clean growth animation. Resources Explore more here. Also, if you want to download it, you can find the visual package on the AppSource. Financial Reporting Matrix v8.2 More control, customization, and clarity The Financial Reporting Matrix just got even better! With version 8.2.0.0, we’ve introduced powerful new features, expanded customization options, and refined the user experience to give report creators unprecedented control over their layouts, formatting, and interactivity. New in v8.2 RowHeaderParent() function – Reference parent rows in calculations and formatting. Invert Sign Factor – Quickly reverse value signs for reporting preferences. Row options in Conditional Formatting – make rules based on Inverted sign, allow drilling, and more. Comments everywhere – Add and format comments on row and column headers, and export to Excel with comments. Custom expansion icons – Change shape, color, size, and indentation. Pin Columns – Keep important columns visible when scrolling. Improvements Column header names showing in stepped layout. Hide empty rows with rendered measures in rows. JSON-based row options recognition. Smoother horizontal scroll for formula editing. Row subtotals fix for ‘In rows’ measure placement. Rename your Applied Steps. Change column expansion icon size. Get the latest version from AppSource BI Pixie by DataChant - Measure the Effectiveness of Your BI Assets in 6 Dimensions from Adoption to Security Since its launch 2024, BI Pixie has evolved from its initial adoption and engagement measurement offering an all-encompassing intelligence suite for organizations that want to maximize their return on investment in Power BI. BI Pixie now offers insights in six key dimensions: Adoption, Engagement, User Satisfaction, Business Outcome, Performance and Security. Here are the recent updates and new capabilities in BI Pixie. With its unique instrumentation technology, BI Pixie captures detailed auditing information, providing a comprehensive view of your BI audience and analytic assets. Designed to ensure your data stays in your organization and scale to tens of thousands of reports and users, BI Pixie can be deployed in your Azure tenant or Power Platform environment in minutes. Leverage the capabilities of BI Pixie to drive user adoption, reduce attrition, boost your data governance and optimize the impact of your BI initiatives with our unprecedented auditing and real-time detection of data leaks due to faulty implementations of Row-Level Security (RLS). Discover more by exploring BI Pixie Dashboard on Microsoft AppSource, and reach out for a free subscription. Closing This concludes this month’s update. We hope the information provided in this update is useful. If you installed Power BI Desktop from the Microsoft Store, please leave us a review. As always, keep voting on Ideas to help us determine what to build next. We are looking forward to hearing from you!
