Customer-managed key encryption now extends to Spark jobs in Microsoft Fabric
Security and compliance teams increasingly expect full control over the encryption keys that protect their data—not only while it sits in storage, but while it is actively being processed. In Microsoft Fabric, Spark powers some of the most data-intensive workloads, from large-scale data engineering pipelines to data science and machine learning. As these jobs run, they read, write, and temporarily stage data on the compute cluster. Customer-managed key support has been extended to that processing layer for Spark jobs.
Use sensitivity labels to improve AI Agents accuracy and organizational alignment
The AI governance challenge As organizations deploy AI agents and skills at scale, they face a real challenge: how does the agent know which data is relevant to a given question? Without guidance, an agent might pull from too many sources, mix contexts inappropriately, or miss important nuances about what data is appropriate for a given scenario. The challenge is helping AI focus on the right data. Your organization needs AI to give specific, accurate answers grounded in the most relevant data. The classification you already have can do more Sensitivity labels in Fabric help organizations classify and protect their data based on sensitivity levels such as General, Confidential, or Highly Confidential and Custom label. They are defined in Microsoft Purview and can be applied to Fabric and Power BI items like reports, Semantic model and Lakehouse, where they can also be used to enforce protection policies and access control. Sensitivity labels are also available via public APIs, enabling programmatic access and use by agents and automated workflows. When an AI skill or agent processes a question, it doesn't just check permissions—it selects and prioritizes data to build an answer. By using sensitivity labels as guidance signals inside the skill itself, organizations can help the AI focus on the right data for the task. Sensitivity labels continue to enforce protection, but now they also help AI generate more relevant, context-aware answers. Organizations extend the value of classifications they already maintain, giving AI the same organizational awareness that guides human decision-making. Sensitivity labels already play a critical role in data protection, helping organizations control who can access data through policies and enforcement. At the same time, as AI-driven experiences evolve, there is an opportunity to extend their value beyond access control into context guidance. Sensitivity labels can also guide a new decision: "Is this data appropriate for the AI to consider in this context?" A real-world example: The report analysis skill Consider an AI skill designed to analyze reports across Fabric. The skill's job is to read reports, extract insights, and answer questions about them. Some reports are public (sales summaries, public metrics). Others are confidential (financial forecasts, customer negotiations). Some are highly sensitive (executive strategy, M&A planning). Without guidance, the skill would analyze all reports equally. This creates a problem: when an employee asks a general question such as, "What are our Q3 projections?" the skill might combine confidential and public data in a single answer, mixing contexts inappropriately. With sensitivity labels as built-in rules, the skill can be smarter: RULE: When analyzing reports labeled "General" Provide full analysis and insights Include charts, summaries, and data points RULE: When analyzing reports labeled "Confidential" Provide summary only to authorized users Extract key findings without revealing details Log access for audit RULE: When analyzing reports labeled "Highly Confidential" Available only to executives with explicit clearance Generate high-level briefings, no detailed data Track all access and questions asked The classifications shown are examples only. Each organization defines its own sensitivity labels (including custom labels) in Microsoft Purview. At runtime, the skill makes informed decisions: When an employee asks, "What are our sales trends?", the skill reads only General-labeled reports and returns a full, detailed analysis. When asked about confidential budget forecasts, the skill checks the user's permissions, reads Confidential reports, and returns only a summary (if the user is authorized). When asked about executive strategy, the skill declines or escalates to executives only. The employee can still access all the same reports they’re permitted to see. But because the skill understands sensitivity labels, it can give them better, more focused answers by choosing which data belongs in the conversation. Why this matters for AI accuracy If the agent already has access to all data, does it matter what it uses? In practice, the answer is yes. Organizations already classify their data because they understand their business. They know which information is broadly useful, which is more sensitive, and which belongs in specific contexts. Instead of keeping that knowledge only for people, share it with your AI. By using sensitivity labels as part of your AI skills, you give agents a better understanding of how your organization thinks about its data—not just who can access it. This helps the agent select better inputs and produce more accurate answers. The goal is to help the agent understand your data the way your organization does. Getting started To get started, make sure your data is properly classified and labeled, as labels are the foundation for this pattern. Learn more about sensitivity labels in Fabric. Without consistent labeling, there is no reliable signal for skills to use. Next steps Make sure your key data is labeled. Start with the datasets your skills rely on – reports, semantic models, or data sources. If the data isn't labeled, the agent has nothing to use as a signal. Define how you want the agent to treat each label. For example: General data can be used freely, while more sensitive data should be used only when clearly relevant, or avoided in broader scenarios. Apply this logic in a specific skill. When building a skill, add simple rules based on labels. For example: "prioritize General data," or "don't include Confidential data unless the question requires it." Start with a focused scenario. Pick one use case, like a reporting or analysis skill, and validate that label-based guidance improves the answers—more relevant, less noise, and clearer context. Learn more Information protection in Microsoft Fabric Sensitivity labels in Fabric
Secure Azure and Fabric Event Flows Across Workspaces with Outbound Access Protection (Preview)
Lock down cross-workspace event flows in Fabric: new Outbound Access Protection lets you control which workspaces can consume Azure and Fabric events—blocking unauthorized access by default until you explicitly allow the Real-Time Events connector.Use built-in Fabric data protection to get your data AI-ready
Every organization wants to put AI to work on its data. Copilot, agents, and generative AI promise faster insight, but they raise a hard question for security teams: If AI can reach all our data, what stops it from surfacing the wrong data to the wrong person? The answer is to make your data AI-ready — classified, access-controlled, protected, and observable. Microsoft Fabric builds these capabilities directly into the platform through its integration with Microsoft Purview, so you can adopt AI with confidence instead of trading productivity for protection.
Outbound Access Protection for semantic models (Preview)
Author: Kay Unkroth, Principl Program Manager - Outbound Access Protection (OAP) is a workspace-level network security and governance feature that blocks outbound traffic from a workspace by default and lets you allow only the destinations you explicitly trust. With this preview, you can now extend OAP to semantic models. Power BI reports aren't part of this preview yet; report support is coming in a separate announcement soon.
New data protection capabilities in Microsoft Fabric: Native security for the modern data estate
As organizations continue to scale analytics and AI initiatives, protecting sensitive data has never been more critical. With Microsoft Fabric, we are building data security directly into the analytics platform—so protection is consistent, automated, and enforced wherever data lives and travels. Today, we’re sharing several new data protection capabilities in Microsoft Fabric, powered by deep integration with Microsoft Purview. Together, these updates help organizations reduce data oversharing risk, improve visibility into sensitive data usage, and respond faster to potential data theft scenarios, without compromising productivity. Expanded DLP Restrict Access for Structured Data in OneLake (Preview) We’ve expanded DLP restrict access capabilities to cover all structured data in OneLake*, giving organizations broader, automatic protection for sensitive information once it is detected, more holistically across their OneLake data. With this release, restrict access will also apply to SQL databases, KQL databases and Warehouses (on top of Lakehouses and semantic models that were already supported). As a result, security and compliance teams can reduce the risk of accidental or intentional data exposure while still enabling broad data access for analytics and AI scenarios. These controls are policy-driven, consistent, and enforced automatically helping security teams scale protection without relying on manual processes. Figure: DLP restrict access indication on Warehouse * Support for c is coming soon. Sensitivity Labels Available Through Public APIs (Generally Available) To support automation and extensibility, sensitivity labels are now accessible through public APIs. This enables customers and partners to programmatically discover, apply, and manage classification across Fabric assets. This enhancement includes the following API operations: List Items – The response now includes the Sensitivity Label ID for each item. Get Item – The response includes the item’s Sensitivity Label ID. Create Item – Include a label ID to create an item with a sensitivity label. Update Item – The response includes the Sensitivity Label ID. (Note: labels can be retrieved programmatically but update labels via this API is not supported) These capabilities align with the existing label management APIs available today: Bulk Set Labels allow admins apply sensitivity labels to items. Bulk Remove Labels allow admins remove sensitivity labels from items. Now, users can programmatically access sensitivity label metadata without additional queries, streamlining compliance and improving automation. Insider Risk Management Support for Lakehouse Indicators (Generally Available) We’re also extending Microsoft Purview Insider Risk Management to support Lakehouse indicators in Fabric. This allows security teams to detect, investigate, and respond to potentially risky user activities involving sensitive data stored in Fabric Lakehouses. By ingesting Fabric audit signals into Purview Insider Risk Management, organizations can apply the same insider risk detection and investigation capabilities they already use across Microsoft 365 and other data sources, including Fabric analytics workloads—bringing the real power of a centralized management across your entire data estate. Figure: Lakehouse indicators used within the IRM tool New Quick Data Theft Policy in IRM for Fabric (Generally Available) To simplify and accelerate risk response, we’ve introduced a new quick policy creation of the Data Theft rule for Fabric. This streamlined experience makes it easier to set up protection against data exfiltration scenarios, helping security teams act faster when sensitive Fabric data is at risk. With fewer steps and clearer guidance, organizations can move more quickly from detection to remediation, reducing exposure while maintaining productivity. IRM Pay-as-you-go Usage Report (Generally Available) The Microsoft Purview Insider Risk Management pay-as-you-go feature usage report is designed to provide transparency to the customers, enabling more accurate budget planning and policy tuning. IRM admins can check the distribution of PAYG processing units that were billed across workloads (Fabric), sub workloads (Power BI, Lakehouse), and indicators (downloading power BI reports, etc.) to fine-tune their policies and plan PAYG budgets accordingly. Purview Data Security Posture Management (DSPM) for AI for Fabric Copilots and data agents (Preview) As organizations adopt AI, implementing controls becomes crucial to discover risks and prevent data oversharing when using AI. With DSPM for AI for Fabric, organizations can monitor Copilots and data agents interactions in Fabric. Users can now: Surface data security risks by detecting sensitive information in AI prompts and responses, with actionable recommendations available directly in the DSPM dashboard. Detect and investigate risky AI behavior using Insider Risk Management, helping security teams identify scenarios where users may have unintentionally shared sensitive data or bypassed established security practices. Apply governance and oversight to AI interactions through Purview Audit, eDiscovery, retention policies, and detection of non‑compliant usage, enabling consistent controls across AI-powered experiences. Figure: Purview DSPM for AI report showing Data Agent interaction in Fabric Bringing it all together Taken together, these updates reinforce a core principle of Microsoft’s approach to data security: protection is built in, consistent, and end-to-end. From sensitivity labeling and automated access restrictions in OneLake to advanced insider risk detection and fast remediation, Microsoft Fabric and Purview work together to help secure data across analytics, AI, and collaboration. As data estates continue to grow and complexity, we remain committed to delivering security capabilities that scale with your business—without slowing innovation. Learn more about DLP restrict access. Learn more about IRM for Fabric. Learn more about DSPM for AI in Fabric.
Easily label your data with the new sensitivity bar for Power BI and Fabric
Microsoft Purview Information Protection sensitivity labels help organizations manage their sensitive data and meet regulatory and compliance requirements. Sensitivity labels are widely adopted by enterprises today to label and protect content in Microsoft 365 apps such as Excel, PowerPoint, Word files, and Outlook emails. Introducing the new Sensitivity Bar in Power BI and Fabric ily_label_your_data_with_the_new_sensitivity_bar_for_Power_BI_and_Fabric Sensitivity bar experience in Power BI and Fabric The new sensitivity bar in Power BI and Fabric allows users to conveniently apply sensitivity labels to reports, datasets, and other Power BI items alongside new Fabric items such as Lakehouses, Warehouses, KQL databases, Notebooks, and more, ensuring that important and sensitive data can be easily labeled with sensitivity labels to achieve compliance with regulations and requirements in just a few easy steps: Go to the top bar of any item and click the sensitivity bar or the item’s name. From the labels that are assigned to you by your organization’s compliance admin, select the most suitable sensitivity label based on the content and your organization policies. Finally, the sensitivity label will be applied to the item. The sensitivity bar in Power BI and Fabric is designed to be similar to the Office experience. The labels that users apply to Office files are the same as the sensitivity labels applied in Power BI and Fabric and use the same policies, colors, and encryption icons from the Microsoft Purview compliance center to provide users with a familiar, easy-to-use interface. Label designs in Power BI and Fabric are similar to Office *Encryption in Power BI and Fabric is currently enforced only on files (.pbix) and is inherited to all supported exports. Mandatory vs optional labeling in your organization policy When your organization’s compliance admin enables mandatory label policy, users will have to label their items upon creation and will not be able to remove sensitivity labels. Mandatory policy will be indicated to the user with the icon. With Mandatory label policy enabled When no mandatory policy is enforced in your organization, then labeling is optional and will look like this. Without Mandatory label policy Default label policy in Fabric When your organization’s compliance admin enables default label policies, they define a baseline label to be applied to Power BI and Fabric. Unless changed, the default label is set automatically on all Power BI and Fabric items upon creating new items. Changing or removing a sensitivity label Changing a sensitivity label can be easily done using the new sensitivity bar, just by selecting a different label. In a case when the label is protected, the user must have sufficient permissions to edit or remove the label. These permissions are not granted within Power BI or Fabric, they are granted by your organization’s compliance admin. Automatically label your item's downstream lineage Labeling your entire item lineage is now easier in Fabric. As with Power BI, we’ve integrated downstream inheritance to help you easily label all your connected child items. Now, when you apply a sensitivity label on a parent item (i.e., an item with connected child items) the same sensitivity label will be inherited to all connected items, thus maintaining the same sensitivity label across your data lineage. This feature can easily be turned on in the Admin Portal for your entire tenant. Even if downstream inheritance is not turned on, child items will inherit the sensitivity label by default, unless this option is turned off for the item from its settings. The item's downstream inheritance toggle Accessibility Microsoft Fabric’s sensitivity bar follows inclusive design principles, that will provide a clear user experience for people with disabilities to aid screen readers or other assistive tools and tab navigation. A note about colors: users who have color vision deficiency might be unable to differentiate the various label colors without other cues. The new sensitivity bar takes this into account using the default configuration which would always show the label name alongside its colored icon, the sensitivity Bar’s colors support accessibility for color vision deficiency and including in dark mode support. Licenses In Power BI and Fabric, the admin must have a Pro license to enable information protection in their tenant, to apply sensitivity labels, you will require the following: In Power BI – at least P1/P2 which are included in E5. In Fabric – at least P1 which is included in E3. Summary The new sensitivity bar in Power BI and Fabric is an essential addition to already powerful data visualization and analytics tools. Whether you're a data analyst, business professional, or researcher, this new experience can help you label and protect your data with ease. Feedback We’re always happy to hear any comments or feedback you may have regarding sensitivity labels in Power BI and Fabric. For any suggestions, please fill out this form.
Power BI August 2022 Feature Summary
Welcome to the August 2022 update. Can you imagine it’s the last month of summer already? We are excited to announce a variety of new features such as the conditional formatting for data labels, new “Select sensitivity label” dialog, data loss prevention policy update and DAX editor improvements. There is more to explore, please continue to read on. Reporting Conditional formatting for data labels New “Select sensitivity label” dialog Data loss prevention policy update Metric visual Mobile formatting now supports text box visuals Modeling DAX Editor improvements Data connectivity and preparation MariaDB (Connector Update) Google Sheets (Connector Update) Certified connectors availability in Power BI dataflows and datamarts Mobile apps Follow metrics from your mobile app Developers Introducing a new way to manage, enforce and transact licenses for Power BI visuals Visualizations New visuals in AppSource Editor’s pick of the quarter Drill Down Combo Bar PRO by ZoomCharts Inforiver charts Other Visualizing views in Dynamics 365 with Power BI general availability More ways to optimize Power BI performance Check out the video below for this month's summary: https://youtu.be/Wiznd0dn29k Reporting Conditional formatting for data labels When we first brought conditional formatting for data labels to Power BI Desktop last year, the scope at which Power BI evaluated your conditional formatting rules was based on the full aggregate of the field across the whole visual, rather than at each data point. This caused all data labels in the visual to come out to the same color. We’ve since heard your feedback that this behaviour isn’t intuitive, and we’re making some changes this month and next to bring conditional formatting for data labels to be more in line with what you expect. First, this month, conditional formatting on data labels for visuals with one or more measures and no field in the legend field well will now evaluate for data points. This example shows data labels for sales from this year colored blue if sales grew above a certain threshold over last year, or red if they didn’t: You can find the conditional formatting options for these labels in the formatting pane, under Data labels > Values > Color. You can set conditional formatting rules for all measures or for individual measures. Formatting set on individual measures takes precedence, so if you’ve explicitly set a color for data labels on all measures and add a conditional formatting rule for just one, the conditional formatting rule will apply to that measure. The conditional formatting rules for data labels that you’ve already set on current reports will not be affected. This is good for preserving backward compatibility, but not good for getting the per-datapoint “correct” behavior out to authors. You can get the new behavior simply by editing your report on this version of Power BI and reapplying the color conditional formatting rule onto your relevant data labels. In a coming release, we’ll be bringing this same behavior to visuals where you also have a field in the Legend field well. We found a critical bug preventing us from shipping the whole feature to you this month, but we decided to at least get one half of it out to you early. In anticipation of the rest of this update, we’re removing the conditional formatting button from the formatting pane for data labels in cases where you have a measure grouped by a legend field. We’re doing this to prevent more users from setting up the “wrong” conditional formatting rules, since as we mentioned, we try our best to preserve prior functionality for existing reports. Look out for more improvements to visuals and visual formatting in future releases! Now that we’ve brought error bars to general availability, our visuals team has some exciting items lined up for you, and we can’t wait for you to get your hands on them! New “Select sensitivity label” dialog For tenants requiring sensitivity labels on their reports, we now allow creators to set the sensitivity label directly from the save flow. Previously the dialog would be a message re-directing the user to find and use the ribbon dropdown instead. This new dialog helps save creators time searching for the sensitivity labels settings in the ribbon to complete their save. Data loss prevention policy update As some of you already know, we released Microsoft Purview DLP policies for Power BI to public preview earlier this year. DLP policies enable you to better control the sensitive information managed in your Power BI tenant, as well as comply with governmental or industry regulations, such as GDPR (the European Union’s General Data Protection Regulation). This month, we’re introducing the ability for Power BI users to provide feedback on the policy rules evaluating their datasets. In the dataset’s detail page, you will now be able to see all the policy rules that have been detected for this dataset. A side panel will appear with a card representing each and every rule. On top of viewing all the matched rules, data owners will be able to take action if they believe the data was falsely identified. Based on how the policy rule was configured, you will be able to see one or a combination of these actions: Report an issue: Report the issue as a false positive (meaning that the policy has mistakenly identified non-sensitive data as sensitive, for example). Override: Override the policy. Overriding a policy means that this policy will no longer evaluate this particular dataset. Depending on the policy configuration, you may be required to provide a justification for the override. Report and override: Report the issue as a false positive and override the policy. We’ve provided Power BI users with these tools so that they can provide insight on the datasets met with rules defined by the Security Admins in Microsoft Purview Compliance Portal and help create a built-in line of communication to ensure smooth operation on both teams. Learn more about this: Override data loss prevention policies (preview) - Power BI | Microsoft Docs Send email notifications and show policy tips for DLP policies - Microsoft Purview (compliance) | Microsoft Docs The future of compliance and data governance is here: Introducing Microsoft Purview - Microsoft Security Blog Metric visual We are thrilled to announce that Metric visual is now available in Desktop! This visual provides a huge level of flexibility in integrating metrics into your Power BI reporting solutions. You can now include individual metrics instead of the entire scorecard and create report pages showcasing metrics alongside other visuals, in the context of the rest of the report data. You can either create a new metric or add a metric from an existing scorecard as a visual in the report. You can create a metric by either entering values or connecting to data in reports you have access to. You can view notes, perform check-ins, set up rules on this metric just like on a regular scorecard. You can also format the metric visual to the look and feel of the rest of the report and it is configurable with options to turn the individual metric elements (such as targets, owner etc.) on/off. Learn more about the Metric visual. Mobile formatting now supports text box visuals In this release, we’ve extended mobile formatting to support text box visuals. Now when you add a text box to the mobile canvas, you can change its format settings to best suit the mobile-optimized view you’re creating. Modeling DAX Editor improvements We have been working hard on improving the DAX editing experience after we changed some core components at the end of last year. By now we feel we have fixed the most common issues, particularly related to suggestions. Please reach out if you are still encountering issues compared to the way it used to work. Data connectivity and preparation MariaDB (Connector Update) The MariaDB connector has been updated to resolve customer-reported bugs at Issues · mariadb-corporation/mariadb-powerbi (github.com). Google Sheets (Connector Update) The Google Sheets connector has been updated to include a direct link to Google Sheets documentation. Certified connectors availability in Power BI dataflows and datamarts 80+ additional data sources (all certified connectors) are now available in the Power Query Online experience for use in Power BI dataflows and datamarts. This means that Power BI dataflows and datamarts creators have the option to connect to many more data sources in Power Query Online experiences, similar to Power BI Desktop today. Notable additions: Anaplan Asana Azure Databricks and Databricks Denodo Dremio Google Sheets HexagonSmartAPI MariaDB Palantir Foundry Planview Projectplace Starburst Enterprise SurveyMonkey 2022_Feature_Summary See List of all Power Query connectors for more details on connector availability and visit the Power Query blog for more details on this release. Mobile apps Follow metrics from your mobile app Now you can follow metrics directly from the mobile app and keep up to date with the activity on those metrics. To start following a metric, just tap More options (…) on a metric’s card in the Metrics hub or in the metric’s details pane and choose Follow metric. To view all the metrics you're following, select Following in the Metrics display list accessible from the Metrics hub. It makes no difference whether the metric was marked for following in the Power BI service or in the mobile app - you'll see them all. Likewise, in the Power BI service you'll also be able to see all your followed metrics - including those that you started following from the mobile app. Developers Introducing a new way to manage, enforce and transact licenses for Power BI visuals At Inspire last month, we announced a key feature for AppSource visuals: now you can sell, manage, and enforce licenses directly through the commercial marketplace! Use our new licensing API, available with API version 4.7 and July release of Desktop, to enforce the license and provide a unique standardized licensing experience for customers. Read more about it in our latest blog. Visualizations New visuals in AppSource The following are new visuals this update: Video by CloudScope Video Pro by CloudScope Collage NextGen by CloudScope Collage Pro by CloudScope; Inforiver Charts by Inforiver Editor’s pick of the quarter Drill Down Timeline PRO Box and Whisker chart by MAQ Software Inforiver Premium Matrix / Table Dynamic KPI Card by Sereviso Play Axis (Dynamic Slicer) Inforiver Charts Drill Down Combo Bar PRO by ZoomCharts Drill Down Combo Bar PRO offers a uniquely wide selection of customization options, letting creators build the widest selection of charts from a single custom visual. Build everything from regular bar charts to box and whisker plots. This visual also offers powerful cross-chart filtering capabilities combined with intuitive on-chart interactions. MAIN FEATURES: Multiple chart types – choose between column, line, and area charts Full customization – customize X and Y axes, the legend, stacks, clusters, tooltips, outline and fill settings Stacking and clustering – choose normal, 100% proportional, or zero-based stacking Customize up to 25 series Static and dynamic thresholds – set up to 4 thresholds to demonstrate targets or benchmarks Take customization to the next level with conditional formatting Use series defaults and value labels defaults to customize multiple series simultaneously Tooltip field support Multi-touch device friendly – get the same experience on mouse and touch input devices POPULAR USE CASES: Sales and marketing – sales strategies, sales results, and campaign-by-campaign marketing metrics Human resources – hiring, overtimes and efficiency ratios by department Accounting and finance – financial performance by region, office, or business line Manufacturing – production efficiencies and quality metrics by product line ZoomCharts Drill Down Visuals are known for their interactive drilldowns, smooth animations, and rich customization options. They are mobile friendly and support: interactions, selections, custom and native tooltips, filtering, bookmarks, and context menu. Try Drill Down Combo Bar PRO now by downloading the visual from AppSource. Learn More about Drill Down Combo Bar PRO by ZoomCharts. Inforiver charts Inforiver charts is the fastest way explore, visualize and share performance management insights in Power BI. Using 40+ advanced visualization options, users can build data stories in minutes and share actionable performance insights through an intuitive no-code user experience (UX). Key Highlights: Performance management visualizations for both comparative and non-comparative measures with integrated variances in a single click. Variances for the prior year, budget and forecast data are calculated automatically. Exploratory analysis with contextual drill-down, drill-up and drill-across navigation across multiple dimensions Storytelling and data-point annotations to tell compelling stories using dynamic data-level annotations. Supports small-multiples, flexible text orientation, and more Advanced small multiples / Trellis to analyze across various data categories in a single click with highly responsive layouts, context-based titles, analytics, and comments. Integrated KPI Cards with multiple conditional formatted KPI Metrics, benchmarks & variances Most voted features: Rich feature set which includes mostly requested capabilities in Power BI Idea place and Power BI user community, such as Measure-driven data labels Stacked waterfall chart Gradient Line chart …and more Inforiver is certified by International Business Communication Standards (IBCS) and available in AppSource to try and buy. https://youtu.be/3tc9MtBTmJs View an interactive demo of Inforiver charts here. Other Visualizing views in Dynamics 365 with Power BI general availability We’re very excited to announce that the Power BI integration in Dynamics 365 and model driven Power Apps, which shipped as a preview last December, is now generally available. Dynamics 365 and model driven Power Apps give organizations the ability to quickly build essential line-of-business apps in a low-code environment, increasing agility and modernizing processes. Since these apps are all built on top of Dataverse, they’re backed by your core business data. With this integration directly on views, information workers are now able to tap into this data and explore it using Power BI’s powerful data analytics capabilities without ever needing to leave their app. Just click the ‘Visualize this view’ button and let Power BI automatically create a report on top of the exact data you were looking at. You can read the full details in our dedicated blog post. More ways to optimize Power BI performance A little while ago, we introduced settings in Power BI Desktop that allowed optimization of Power Query query execution performance. This month, we are adding new settings to influence the Power BI engine query execution on top of that. Together, these settings enable you to optimize the performance of Power BI while data is being imported or DirectQuery queries are being executed. For example, in case data import is taking too long, or DirectQuery queries are slow or slowing down source systems, these settings can help you optimize performance. Read more about these settings in our documentation. That is all for this month! Please continue sending us your feedback and do not forget to vote for other features that you would like to see in Power BI! We hope that you enjoy the update! If you installed Power BI Desktop from the Microsoft Store, please leave us a review. Also, don't forget to vote on your favorite feature this month over on our community website. As always, keep voting on Ideas to help us determine what to build next. We are looking forward to hearing from you!Power BI June 2022 Feature Summary
Welcome to the June 2022 update. We are excited to announce the general availability of the new Format Pane, error bars and information protection updates, table navigation improvements, Connect to datamarts and Power BI Data Storytelling features. There is more to explore, please continue to read on. Reporting New Format Pane Updates to error bars Information protection updates Table navigation improvements Canvas Zoom in Teams and Quick create Modeling Composite models on SQL Server Analysis Services Data connectivity and preparation Connect to Datamarts (Preview) Anaplan (Connector Update) Azure Databricks (Connector Update) Databricks (New Connector) Dremio Cloud (Connector Update) FactSet Analytics (Connector Update) Hexagon PPM Smart API (Connector Update) SingleStore (New Connector) Snowflake (Connector Update) Vessel Insight (Connector Update) Workplace Analytics / Viva Insights (Connector Update) Service Power BI Data Storytelling Announcing the Data hub Power BI Metrics updates Embedded Analytics Hierarchy slicers support in JS APIs Support embedding Paginated Report with data sources containing single sign on (SSO) Support passing report parameters for Paginated Reports in JS SDK Power BI Embedded enables data model enhancements for ISVs/App owners' customers with DirectQuery for Power BI datasets Service principal profile Developers Define the privileged permissions your visual is requesting in the capabilities.json Improving the custom visual load time Visualizations New visuals in AppSource Milestone Trend Analysis Chart by Nova Silva Inforiver Premium Edition now certified Zebra BI Cards 1.2 Drill Down Waterfall PRO by ZoomCharts Other Coming Soon: Dataverse Display Name Support Power BI Desktop infrastructure update (WebView2) Improved support for single sign-on (SSO) for all users Check out the video below for this month's summary: https://youtu.be/gu_5Q3z-qpc Reporting New Format Pane The new format pane is now generally available! This has also been shipped to the PBI Service. Thank you to all that have been providing valuable feedback throughout the preview to help us get to this point. This does not mean the improvements stop here. We’re still actively listening to your comments, please add those directly to this blog post or the community forum here. Improvements made this month: Fixed a blocking bug to ensure analytics pane works for custom visuals where applicable. Fixed a bug that removed log scale applied to the horizontal axis. This affected line, area, stacked area, combo, or scatter charts set prior to April 2022 reports. The issue has now been resolved. When changing a blank page to tooltip size, we automatically flip the “allow use as tooltip” toggle on to save you a step! Updates to error bars This month, you’ll notice that we’ve revamped the error bars card in the Analytics pane to simplify the structure of the formatting options. With fewer sub-cards to have to scroll through, you can more easily find and customize the various elements you want to see on your error bars. The major changes are that line options have now been moved into the Error band sub card, and marker options have also now moved into the bar and band cards. Information protection updates In Power BI Desktop, you can establish a live connection to a shared dataset in the Power BI service and create many different reports from the same dataset. If the dataset has a sensitivity label, Power BI will automatically apply the live dataset’s sensitivity label to the PBIX file to maintain the data’s classification and protection as it leaves the Power BI service. To learn more, check out our documentation. Table navigation improvements This month, we are excited to announce several enhancements to the table visual for existing and new reports to improve performance, usability, and accessibility for all users. These updates include: Overall performance improvements for scrolling and rendering, as well as the look and feel of grid lines and selection styles New keyboard shortcuts for easier navigation, including SHIFT UP/DOWN ARROW to select multiple contiguous rows, PAGE UP/DOWN for scrolling, and HOME/END to move focus to the first/last cell in the current row Enhanced row selection experience that includes a left indicator and improved contrast to help distinguish selected rows from non-selected rows A new two-toned focus outline so on any color background, the focus will always be visible even on darker themes meeting color contrast requirements Updated conditional formatting icons that are conformant with color contrast requirements and now announces alternative text with screen readers The ability to associate images with alternative (alt) text in the formatting pane to describe images to blind and low vision users Learn more about consuming Power BI reports using accessibility features. Canvas Zoom in Teams and Quick create Last month we shipped the canvas zoom feature to Desktop and Service. This feature is now also available for Power BI in Teams and Quick create! For report readers, this is especially important for improving readability. For report creators, this helps magnify the canvas to make pixel perfect tweaks. Users can drag the slider to set the zoom level or click on the zoom % to launch the zoom level dialog and type in a custom input. Use the new quick “fit to page” button to get back to the default view. Note: the zoom level is not saved with the report. 22_Feature_Summary Modeling Composite models on SQL Server Analysis Services We are excited to announce you can create composite Power BI models by connecting to SQL Server 2022 Analysis Services tabular models! SQL Server 2022 is available now for public preview and when you upgrade or deploy tabular models to SQL Server 2022 Analysis Services this DirectQuery connection becomes available in Power BI Desktop starting with May 2022 release. Existing or new tabular models hosted on SQL Server 2022 Analysis Services can be joined with other data in Power BI Desktop to create a composite model. Read more in this blog. Data connectivity and preparation Connect to Datamarts (Preview) As a refresher, Datamarts in Power BI was officially announced in May 2022 as a new Power BI Premium self-service capability that enables users to perform relational database analytics and uncover actionable insights from their data. Please find more information about datamart in Power BI. You can now easily discover and connect to Datamarts from the “Data hub” within the Power BI Desktop Ribbon. This feature allows users to discover datamarts that have already been created and reuse them to easily build reports. You will be able to see datamarts that you have created or were shared with you by others in the organization. This will connect you to the datamart’s underlying auto-generated dataset (using live connect) so that you can easily create reports. To create datasets on top of the datamart, you can use the Azure SQL database connector and specify the Datamart’s SQL connection string for Server name. If you created the datamart, you can get the SQL Connection string from datamart settings (context menu action from the datamart in your workspace). If this datamart was shared with you, you can get the SQL connection string from the Datamart info page below from the Data Hub (in Power BI Service). Up next, we will simplify the experience to connect to the datamart’s SQL endpoint so that advanced use cases can be easily served without the hassle of having to find the connection string. Anaplan (Connector Update) The Anaplan connector has been updated. Below are release notes from the Anaplan team. Bug fixes/Improvements: This version of Anaplan connector for Power BI supports Anaplan OAuth APIs for authenticating with Anaplan. Users will be able to use either Basic Authentication (User ID, Password) or the Anaplan configured IDP for logging into Anaplan from the connector, accessing & running Export actions. With this new connector option, customers do not need to be an Anaplan exception user to use Power BI. Azure Databricks (Connector Update) The Azure Databricks connector has been updated. Below are release notes from the Databricks team. Fast evaluation option is removed from the UI and is used by default now. We made some performance improvements. Databricks (New Connector) We are releasing a new Databricks connector. Below are release notes from the Databricks team. This release contains a preview generic datasource `Databricks (Beta)` which supports OAuth authentication on AWS. The OAuth on AWS preview will support users managed by Databricks directly. Dremio Cloud (Connector Update) The Dremio Cloud connector has been updated. Below are release notes from the Dremio team. Users can now connect PowerBI Service to Dremio without needing Power BI Gateway Some customers may experience a back compatibility issue with their existing connections and reports. They may need to re-enter their credentials and possibly recreate existing reports once they have upgraded to this new connector. FactSet Analytics (Connector Update) The FactSet Analytics connector has been updated. Below are release notes from the FactSet team. Minor internal fixes for table representation Hexagon PPM Smart API (Connector Update) The Hexagon PPM Smart API connector has been updated. Below are release notes from the Hexagon team. This update contains a fix resolving an issue where Okta authentication no longer worked with the WebView2 browser control. SingleStore (New Connector) We are excited to announce the SingleStore Power BI connector! Below are release notes from the SingleStore team. SingleStore is the world's fastest database for all data-intensive applications. SingleStore provides a single unified database for analytical and transactional workloads with multi-model support for text, geospatial, time-series and more. The SingleStore Power BI connector provides a live connection to the database with support for DirectQuery as well as the ability to import data into Power BI with standard and Custom SQL Import modes. Snowflake (Connector Update) The Snowflake connector has been updated. This update contains a minor bug fix around mixed case database names and quotations causing compilation errors. Vessel Insight (Connector Update) The Vessel Insight connector has been updated. Please find update notes below from the Vessel Insight team. The new update in the connector enables a user to navigate through fleets with different asset trees when applicable and only sensors with data will be visible. Vessel Insight has a new version of the asset tree where the hierarchy structure has been updated. It is now possible to navigate through the old and the new asset tree or more, while the previous version of the connector only allows the user to navigate through one asset structure. Sensors without data will be hidden and ensure the user when selecting sensors for import that there will be no empty sensors. Workplace Analytics / Viva Insights (Connector Update) The Workplace Analytics connector has been updated and renamed. Please find below notes from the team. We’ve updated the Workplace Analytics connector and rebranded it as Viva Insights. The updated connector is now generally available. The connector includes a new optional parameter, which lets you import raw query output from certain data sources. Service Power BI Data Storytelling Last month we announced the public preview of Power BI Data Storytelling – an exciting new integration between Power BI and PowerPoint. Power BI Data storytelling is a PowerPoint add-in developed by the Power BI team, which lets you add Power BI reports into PowerPoint slides and enjoy the delightful interactive experience of Power BI inside your presentations. With data storytelling, data will always be up to date in your slides, whether you’re building a presentation or presenting it live to others. This month we are enabling Storytelling starting points inside the Power BI report experience, making it easy and simple for you to get started with storytelling directly from the report you want to use in your presentation. First, open the report you wish to add to your presentation, navigate to the desired page, and make any data selection that reflects the view you want to use. Then, click Share>PowerPoint or Export>PowerPoint>Embed live data. Check the “Embed report with data filters you selected” box if you want to make sure that the same report state will be added to the presentation. This will open a new window, with two options: Option 1: copy the link and paste into a Power BI add-in you added to an existing presentation. Option 2: open a new presentation with the report automatically added to it and continue to build your presentation. Read this blog to learn more on how you can enhance PowerPoint storytelling with data by including Power BI reports directly into a presentation with just few clicks. Announcing the Data hub We’re excited to announce the Data hub! The Data hub is the evolution of the Datasets Hub that was announced in December-2020. In the Data hub, in addition to Power BI datasets, you can now find the newly released Datamarts. The Data hub is a central location for data owners, report creators, and report consumers to manage, discover and reuse data items across all workspaces. Data item owners can see usage metrics, refresh status, related reports, lineage, and impact analysis to help monitor and manage their data items. Report creators can use the hub to find suitable items to build their reports on and use links to easily create the reports. Report consumers can use the hub to find reports based on trustworthy data items. A major challenge we hear from customers about is that users often build similar data repeatedly, resulting in resource overload, governance complexity, and difficulty in identifying sources of truth. The Data hub addresses these challenges by making it easier for users to discover existing, quality data and reuse it to answer business questions and gain insights. Once you discover a data item that seems to have the right data, a click on the item opens the data details page. On the details page you can see the following: Metadata about the data item, including description, endorsement, and sensitivity label. Actions such as share, refresh, create new, and more. Related reports, which are reports that were built on top of the dataset/datamart. When we think about data discovery best practices, before creating new reports, users should look at the existing related reports. If there are no such reports that are suitable, there are multiple ways to create a new report: Create report from template, if a template has been defined (a template is defined by adding the suffix “(template)” to a report built on top of the dataset/datamart). Create report from scratch to open a blank canvas and start creating your report. Auto-create a report. Note: This is currently supported only for single-table datasets. Moving forward, we’ll be adding support for datasets with multiple tables. Create a formatted table. Read more about this new functionality. Data hub in Power BI Desktop Power BI report creators primarily use Power BI Desktop to build new content and then publish it to the Power BI service. When building new reports, instead of connecting to external data sources, the best practice is to connect to curated data available to them in Power BI. In Power BI Desktop, just as in the Power BI service, we would like to bring all Power BI data items into a single experience. For this reason, we’ve brought the Data hub into Power BI Desktop. With the Data hub, users can find datasets and datamarts side by side, filter and search to find the data they need, and then connect to create a report. Read more about how to connect to datamarts in the Connect to datamarts section of this blog post under “Data connectivity and preparation” section. Power BI Metrics updates We have a number of exciting updates to announce for Power BI metrics (feature formerly known as 'goals'). This month, we have additions of multiple milestones that allow you to add date associated milestones within a given metric, categorical metrics that help you track non-numerical items, and enrichment of the bulk updating feature. We are also happy to announce that Power BI Metrics now supports customer managed keys. Milestones Milestones is a highly anticipated feature that we are so excited to announce. Now, date associated milestones can be added to a metric to help track incremental progress toward an overall end goal. With this new feature, scorecards support more nuanced tracking scenarios such as cumulative monthly targets, stepped revenue goals, and more. Each milestone you set is associated with a date so that you can accurately track your progress in your scorecard the way you do in the rest of your organization. In the setup process, you will have the flexibility to select whether you want to display the next milestone or the final target for your metric on the scorecard. This can be customized per metric. You can see the milestones as well as the final target visualized in the details pane alongside your current progress, so that it’s easier than ever to get a snapshot of how you’re performing against your metrics. Categorical Metrics Begin to track metrics that are not numerical. With categorical metrics, scorecards support scenarios like accessibility, NPS category scores (detractor, promotor, etc.), and many more! To get started, select categorical from the floating formatting bar when choosing the current and target values. You will be able to select from existing lists of categories, or create new categories as I am doing here, with accessibility scores. After creating my categories, I can then fill out my current and target values with the appropriate selections. And here you can see a group of metrics with accessibility scores B-D, with final targets of A. Bulk Updating With new additions to bulk updating, you will be able to: Assign owners Update statuses (if no rules exist) Create new or replace existing status rules Update start dates Update due dates Embedded Analytics Hierarchy slicers support in JS APIs Slicers in Power BI are a type of on canvas visual filters. The slicers enable a user to sort and filter a packed report and view only the information they want. The ISVs and developers can now interact with hierarchy slicers using slicer APIs in JS APIs. Using the slicer APIs, you can get and set the state of a Power BI slicer. In addition, you can use load configuration to change the slicer state when loading a report. Support embedding Paginated Report with data sources containing single sign on (SSO) Partners and customers can now automate Power BI Embedded paginated reports with data sources containing SSO support in the following scenario: When the data source has the SSO option enabled and your users access reports built atop the data source, Power BI sends the related identity blob, which was received through the GenerateTokenV2 request in the queries, to the data source. This option enables Power BI to respect the security settings that are configured at the data source level. Example of generating an embed token for a paginated report with a data source identity. Support passing report parameters for Paginated Reports in JS SDK Now developers can set up parameters to paginated reports in Power BI by passing them in the Payload settings through JS SDK. They can further customize how Power BI processes the paginated report by embedding parameters for filtering data that meets the parameters criteria. Read more in our documentation. Power BI Embedded enables data model enhancements for ISVs/App owners' customers with DirectQuery for Power BI datasets Power BI Embedded ISVs and app owners can now enable their customers to create their own specific dataset that can be combined with a central dataset that ISVs/App owners use for all their customers. The customers can combine their own data coming from any datasource connected to PBI in any fashion (including with SSO enabled for supported datasources) and create their own measures and calculations. For example, ISVs can let their tenant customers create tenant specific measures via their code, using TOM over XMLA to the customer tenant specific dataset. To embed Power BI report with a dataset which has a Direct Query connection to another Power BI dataset two separate things need to be done: In Power BI portal, set the “XMLA endpoint” to “Read Only” or “Read Write” in the dataset’s capacity – this only needs to be done once per capacity. Generate a Multi-Resource Embed Token with all relevant dataset IDs specified in the request and the XmlaPermissions set to ReadOnly. Service principal profile Until now, ISVs and other Power BI Embedded app owners were able to deploy the embedded solution to production by using one of the following 2 options: Create one service principal for all their customers, where they have a Power BI limit of 1,000 workspaces per each service principal Create one service principal per each customer, where they have the burden of managing thousands of service principals Now, we’ve added a new method that allows a much larger number of customers per one service principal by introducing a new entity named service principal profile. Each service principal profile can administer a customer, and the number of profiles per service principal can reach hundreds of thousands. The service principal profile allows the ISV to build a scalable application that enables better customer data isolation and establishes tighter security boundaries between customers. Using the service principal profile enables the ISV application to host multiple customers on a single Power BI tenant. Each profile represents one customer in Power BI. In other words, each profile creates and manages datasets, reports, dashboards, and other artifacts that are connected only to one specific customer's data. Check out this video for more information. Please use the following resources to learn more about the service principal profile in Power BI Embedded: Service principal profiles in Power BI Embedded Migrate multi-customer applications to the service principal profiles model Power BI REST APIs - Profiles Developers Define the privileged permissions your visual is requesting in the capabilities.json Starting from API 4.6 and above developers must declare any privileged API calls their visual requires access to operate. These currently include: web access and downloading to a file from the custom visual. These privileges are granted in the capabilities.json file and will be displayed in the "About" dialog in the desktop and web when in edit model. The visual will be permitted to access any special privileges only if it was predefined in the capabilities.json. Admin may enable custom visuals downloading files through a tenant setting. New APIs are introduced to allow visuals to query the host at runtime to determine which of the privileges is enabled. Improving the custom visual load time With API 4.6 we have improved the load time for custom visuals considerably. Please make sure to update your visuals to the latest and greatest releases to enjoy the most recent enhancements. Visualizations New visuals in AppSource The following are new visuals this update: Mapbox Custom visual SCvation-Flow-Basic 2WriteBack Easy SPC Milestone Trend Analysis Chart by Nova Silva Milestones in project management are points in time when important deliverables are due. Like begin/end dates of project phases, formal approvals, etc. Nothing new to most of us. How can we use milestones to monitor the progress of our project(s)? The Milestone Trend Analysis Chart for Power BI. Milestone Trend Analysis (MTA) is a simple method of early identifying deadline trends. It allows you to react in time with corrective actions. And it will raise the deadline awareness of all project participants and stakeholders. Key signals in the Milestone Trend Analysis Chart are: Horizontal line: no change in the (expected) completion date Increasing line: delay in the (expected) completion date Decreasing line: (expected) completion date brought forward All features of the Milestone Trend Analysis Chart are available in the familiar standard Power BI user interface. No need to learn a new interface. And of course, themes, interactive selection and tooltips are supported. Don’t hesitate and try the Milestone Trend Analysis Chart now on your own data by downloading it from the AppSource. All features are available for free to evaluate this visual within Power BI Desktop. Questions or remarks? Visit us at: https://visuals.novasilva.com/. Inforiver Premium Edition now certified Inforiver Premium Edition, which delivers the fastest way to build Power BI reports, is now Microsoft Power BI Certified. The latest release incorporates several new features and enhancements and is available for download at Microsoft AppSource. The Premium Edition leverages a no-code/low-code architecture to deliver a wide variety of use cases Paginated reports Management, financial & IBCS variance reports Graphical tables (in-cell visualizations) Pivot analysis with expand and collapse for both row and columns Excel-like formulae at rows, columns, cell for visual-level calculations Manual data entry for plan, forecast or comments/cell level annotations What-if simulations with popular distributions and spread methods Formatted export to Excel/PDF Additional use cases such as writeback, paginated report subscription scheduling, and collaborative cell level commenting are available but in the enterprise edition. Inforiver Premium Edition is completely free for Power BI Desktop, with no feature restrictions. Inforiver pricing has also been simplified for wider adoption. Key enhancements in this 1.5 release include: KPI Explorer / Slicer for Data Exploration New Chart Types Column Pinning & Freeze Column Filtering Show Measure on Rows UX enhancements Display and Formatting enhancements … and more For more details on the latest release, visit the Inforiver Community https://www.youtube.com/watch?v=2Ft5QVgPBY0 Zebra BI Cards 1.2 The 1.2 version of the Zebra BI Cards visual brings some exciting new features like the ability to display the year-to-date (YTD) value for the KPIs, more flexibility with different font settings for elements on the cards, and new interaction settings. All of this to make your reports even more actionable, flexible, and insightful! https://youtu.be/tGrGNrZUwH8 Year-to-date value With Zebra BI Cards 1.2 a user can now choose to display the YTD value for the KPIs. In practice, this brings several benefits: Seamlessly switch between different stages for each KPI: YTD total, total and last data point. Easily compare data with the same period last year Put your data in perspective by having all information about KPI performance on one page. Font settings To create even more flexible reports, users can now apply their preferred font settings, like font style, size, and color. Card elements like KPI title, value, variances, and chart labels can be customized separately. Interaction settings By adding the Interaction group of settings, the report designers now have more control over which interaction is allowed to the end-user once the report is published. Discover other new features and improvements on our website. Drill Down Waterfall PRO by ZoomCharts Drill Down Waterfall PRO is a custom waterfall visual for Power BI. Now you can create stunning waterfall charts using vast customization options to control the look and feel of the chart. End users will find it easy to explore data using on-chart interactions, such as interactive zooming and clickable drilldowns. Main features: Column sequence – set the display order for the columns. Sub-totals – set display values in the dataset or let the visual calculate them automatically. Rich customization options – customize increasing, decreasing, and totals series separately (colors, outlines, column widths, column connectors, value labels and more). Static and dynamic thresholds – set up to 4 thresholds to demonstrate targets. Touch device friendly – explore data on mouse and touch input devices. Popular use cases: Accounting & finance – profit and loss statements. Inventory management – opening stock, stock movement, and closing stock. Human resources – change in staff numbers over time. ZoomCharts Drill Down Visuals are known for their interactive drilldowns, smooth animations, and rich customization options. They support interactions, selections, custom and native tooltips, filtering, bookmarks, and context menu. Use them to create visually appealing and intuitive reports that business users will absolutely love on every device. Try Drill Down Waterfall PRO now by downloading the visual from AppSource. Learn More about Drill Down Waterfall PRO by ZoomCharts. Other Coming Soon: Dataverse Display Name Support With next month’s release, we’re planning to support display names through the Dataverse connector. Once released, you’ll see display names automatically applied to all columns in the model when creating reports using the Dataverse connector, in either Import or DQ mode. This should save Dataverse users a lot of time, as you won’t need to manually name every column to match the friendly names end users are accustomed to seeing in their applications, like Dynamics. However, we did want to give everyone advanced warning of this change, as there will be some impact on existing reports once the change rolls out. For all existing reports, you’ll need to open the report up in Power BI Desktop and refresh the model for display names to show up. On the first schema refresh, the display names will override any existing renames you’ve made in the report, so if you want to retain those unique names, you’ll need to manually reapply your name changes in the model. This will only happen when the display names are first applied, so future schema refreshes should not require any rework. Overall, this change should reduce the amount of manual work you have to do to make your reports based on Dataverse data easily readable and familiar for your report consumers, so look forward to learning all the details of display name support in next month’s post! Power BI Desktop infrastructure update (WebView2) Thanks for your patience while we switch to WebView2 as part of the infrastructure update. As we are getting closer to GA we want to make sure we have solved as many issues as possible. Starting with this release you will see the following warning every time you launch Power BI Desktop if you don’t have WebView2 installed yet. If you see this, please install WebView2 and enable it. Read how in this blog. Improved support for single sign-on (SSO) for all users Power BI Desktop will now prompt users to sign in and use SSO where applicable to better align with office. This is the first of many small tweaks the startup experience. In future updates, we will use signed in users to deliver more tailored experiences and allow users to consume files from the service. That is all for this month! Please continue sending us your feedback and do not forget to vote for other features that you would like to see in Power BI! We hope that you enjoy the update! If you installed Power BI Desktop from the Microsoft Store, please leave us a review. Also, don't forget to vote on your favorite feature this month over on our community website. As always, keep voting on Ideas to help us determine what to build next. We are looking forward to hearing from you!
