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Power BI Desktop April 2019 Feature Summary

Business Intelligence

April is an exciting month for Power BI Desktop! Our April update has major updates across the entire product.  This release adds the ability to define the titles of your visuals and the URLs of your buttons based on DAX expressions, which is only our first step towards making every property of a visual expression-based. You can also now easily link reports within a workspace together with across-report drillthrough support. We have a lot of new connectors this month and several  of our preview connectors are now generally available, including the Power BI dataflows and PDF connectors. Data prep gets some major updates as well with the GA of data profiling and M intellisense.

Here’s the complete list of April updates:





Data connectivity

Data preparation


For a summary of the major updates, you can watch the following video:


Filter pane improvements

Support for full filter pane editing

We’ve now added support for full editing of the new filter pane. You can add and remove fields to filter on, change the filter state, control the visibility of the pane and filter cards, and lock filter cards all within the new filter pane.

Since the new filter pane now has full editing ability, when you are using the preview, you no longer see the old filter pane at all in the visualization pane.

Ability to rename filters

When you’re editing the filter pane, you can now double click the title to edit it. This is a good way to make the filter card names more understandable for your end users.

Filter pane scales with the report page

To maintain proportion between the report page and the filter pane, the new filter pane will now scale with the report page and visuals.

Restrict ability to change filter type

Under the Filtering experience section of the report settings you now have an option to control if consumers of your report can change the filter type. With this setting off, your report consumers won’t have access to the dropdown to switch between the basic and advanced types of filters.

Improved filter pane accessibility

We’ve improved the keyboard navigation for the new filter pane. You can tab through every part of the filter pane and use the context key on your keyboard or Shift+F10 to open the context menu.

Watch the following video to learn more about the filter pane improvements:

Conditional formatting for visual titles

Since the initial release of Power BI, you’ve been able to customize the titles of your visuals, but they’ve always been static text.

Since Power BI reports are interactive, it makes sense that you may want your titles to be dynamic and reflect the current state of the report. You can now use the conditional formatting dialog to change the text of your report based on a DAX expression in your model.

First, you’ll need to create a field in your model to use for your title. For example, here’s an expression that will change based on the filter context the visual receives for the product Brand name. One thing to note is that this field needs to be formatted as text.

 Then launch the conditional formatting dialog by right-clicking the “Title text” area in the property pane card and picking Conditional formatting.

Then in the dialog, select a text field from your model. This can be a column or a measure.

Now the visual’s title will respond to changes in the report.

Once such a title is set, you can re-launch the dialog by clicking the fx button in the property pane or revert to the default using the context menu.

Watch the following video to learn more about conditionally formatting titles:

Conditional formatting for web URL actions for buttons, shapes, and images

You can also use the same expression-bound formatting to make the URLs of your buttons dynamic! It’s set up the exact same way as titles. This can be very useful if you want users to navigate to other webpages with URL parameters based off their current selection.

Over the coming months we’ll be rolling these conditional formatting options out to more properties on more visuals and give you more ways to set the expression. The goal is that you’ll be able to use rules, a measure or enter an expression directly in the dialog and use the result to format any property.

Watch the following video to learn more about conditionally formatting URLs for buttons:


Drillthrough across reports

We are extending our drillthrough feature, which up until now only worked between pages of a single report, to also reference other reports in a given workspace as well. The power of this feature is that you can no easily link up multiple reports. For example, you could create a summary report connected to a slimmed down dataset and set up drillthrough to deep detailed reports.

To set up this experience you’ll need to:

  • Set up a drillthrough target page to be accessed from other reports within a workspace
  • Allow a report to opt into seeing drillthrough pages outside of the report

To set up a drillthrough page so it can accessed from other reports within a workspace, all you need to do is turn on the Cross-report toggle in the drillthrough section of the visualization pane.

After that, all you need to do is enable the Cross-report drillthrough setting for all reports within a workspace that you want to point that cross-report drillthrough page. You can find this setting in the Report settings for the current file section of the Options dialog.

Once you’ve done that, any report can see the cross-report drillthrough pages within its workspace or app. Right clicking in a visual in a report will show the drillthrough page from another report if the fields in the visual match the drillthrough fields setup on the target page. The matching needs to be identical by both table name and column name,  but doesn’t need to be the same dataset.

Watch the following video to learn more about drillthrough across reports:

Key Influencers visual now supports continuous analysis for numeric targets

You can now add numeric fields to the Analyze bucket of the field well and run a continuous analysis and find key influencers that cause that field to increase or decrease. This will work for numeric columns (including calculated columns) but measures are not yet supported.

In order to enable this analysis, you will need to explicitly turn it on after selecting the field to analyze. You can do this by going to the analysis card of the formatting pane and switching the analysis type to continuous instead of categorical.

Behind the scenes the visualization will run a linear regression and rank all the factors that the user selected as potential influencers. It will give insights about how much an explanatory factor increases or decreases the average of the metric being analyzing. In the example above we can see that when Class is Deluxe, the SalesAmount is on average $1.5K higher than when the Class is Regular or Economy.

To learn more about how to set up the key influencers visual and how it works, you can check out our documentation.

Watch the following video to learn more about continuous analysis for the Key Influencers visual:

Python support is now generally available

Thank you for all the great feedback during the preview period! Python is now generally available and can be used to create your models and visuals without needing to enable it.

Partial synonym matching for terms in Q&A

When using Q&A, you can now complete terms even if you only know part of it. Specifically, if you type a word or phrase that is part of a synonym of a field or table, you’ll see the synonym in the list of suggestions.

Watch the following video to learn more about partial synonym matching for Q&A:



We’ve added another new DAX function this month, ALLCROSSFILTERED. This function can be used to remove filters on a table from other tables across direct or indirect many-to-many relationships.



The rainbowGauge partner-developed visual lets report authors create a 3-state gauge with different colors to represent each stage. You can add a min, max, target, and a value and color for each stage to the visual.

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Announcing Enterprise Information Management Capabilities in Power BI


Many enterprises across the globe have adopted Power BI and rely on it as the key solution for analyzing data and deriving business insights. We continuously work with our customers to understand how they use our BI platform, what makes them successful in adopting Power BI, and what challenges they still face. These large scale data-driven enterprises require oversight and governance on their business data, while empowering their employees to easily and efficiently generate insights from massive amounts of data and complex analytical solutions.

Our goal is to help them succeed in this journey with the most robust BI platform possible: a platform that allows managing large numbers of data assets, tracking data journeys, protecting sensitive data, and governing according to company policies . A platform which allows Enterprise Information Management (EIM).

To that end, two new major updates, Power BI data protection enhancements and Power BI data lineage capabilities, solidify Power BI as a first-class platform for EIM.

Power BI data protection enhancements – public preview

To address the enterprise challenges mentioned above, new enhancements for organizations to protect and govern their data, while empowering employees to easily derive valuable business insights, are now in public preview.

These enhancements take advantage of Microsoft’s massive, world-class security capabilities, enabling organizations to:

  • Classify and label sensitive data in Power BI – data owners can apply Microsoft Information Protection sensitivity labels to their Power BI artifacts, thus snapping to organization-wide governance policies and aligning with the same labels and protections enforced in Office 365 files and emails. Sensitivity labels can be applied on dashboards, reports, datasets, and dataflows.
  • Protect sensitive data upon export from Power BI – Microsoft Information Protection sensitivity labels and policy persist even when data is exported to Excel, PowerPoint, or PDF, ensuring that label-specific permissions and restrictions are enforced even after leaving Power BI, and data remains protected.
  • Monitor and protect user activity on sensitive data within Power BI – leveraging Microsoft Cloud App Security, Power BI sessions and user activity can be monitored and controlled in real time, either blocking certain operations with real time controls, or gathering alerts and respective information for offline examination. For example, administrators can leverage MCAS to investigate alerts on suspicious sharing or Power BI reports, or alternatively they can define real time controls to govern when sensitive data can be exported based on device, location and sensitivity.
  • Provide oversight on sensitive data within the organization [coming soon]: Power BI will soon offer protection reporting in the admin portal to provide oversight on sensitive data in the organization. Power BI administrators will be able to deepen their investigation by directly using the MCAS experience and leveraging its rich tooling to examine alerts and information gathered for Power BI user activities.

Power BI data protection capabilities light up when Power BI is paired with Microsoft Information Protection and Microsoft Cloud App Security.

Use these new data protection capabilities, to provide consistent policies and labels across Office 365 and Power BI, help ensure sensitive data remains protected, improve oversight of sensitive data and access, while better meeting privacy and regulatory requirements.

Learn more about our data protection public preview announcement, or get started with our documentation.

Power BI data lineage – public preview

Nowadays, enterprise analytical apps are more advanced than ever before; leveraging multiple data sources and BI artifacts, reusable components, and cross workspace dependencies. Understanding the flow of data in these projects, from source to destination, is a challenge. Sometimes questions like “What happens if I change this data?, “Where is the data in my dashboard coming from”, or “Why isn’t this report up to date?” can be nearly impossible and very time consuming to understand.

To address these challenges, new data lineage capabilities are natively available within Power BI. Our new lineage view visualizes the entire data journey within a given workspace, making it easy to determine upstream and downstream dependencies of artifacts, examine artifact information, and take action.  Even more-so, for reusable assets such as shared datasets or linked dataflows, users can easily track their lineage cross workspace and navigate accordingly.

Customers on our private preview program have already expressed how the new lineage view is helping them better manage their data assets and increase productivity.  Sharon Matthews, Reporting and Analytics Manager at Veolia, shared that “Lineage view has helped us maintain multiple workspaces whilst ensuring that we can clearly see how one change in one dataset can impact multiple reports and dashboards. We can easily identify reports that haven’t refreshed and kick off refreshes from a friendly interface and also remove unused datasets easily. As a central team managing power bi reports this has proven to save us a lot of time”.

Use these new lineage view capabilities, to gain further confidence in their data, increase troubleshooting efficiency, avoid data duplication, analyze impact of components on their workspace dependencies, capture a project lineage for documentation or training, and ensure data compliance. To top it off, Power BI admin APIs also provide an automated way to extract workspace data lineage.

Check out our announcement for data lineage view or learn more from our documentation.

That’s it, with our new data protection and data lineage updates, now you’re on the fast track to easily manage and protect your organizational data. Stay tuned as we add more and more invaluable capabilities to data protection, data lineage and impact analysis, data discovery and cataloging, and many others, in our quest to empower our data-driven enterprises.

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Introducing RPA in Power Automate


One of the biggest challenges organizations face is scaling and automating business processes—from digitizing pen and paper processes, to automating complex processes that span legacy and modern applications. Robotic process automation has rapidly become a key technology to address many of these scenarios but generally requires a patchwork of automation services that need integration and management before the real work can get done.

Power Automate simplifies these end-to-end scenarios through a unified automation platform that can bridge the gap between API-based automation and UI-based automation.

Today we’re announcing the preview of our new RPA capability in Power Automate called UI flows. Creating a UI flow is a simple and familiar point-and-click, low-code experience that makes it easy for users to turn manual tasks into automated workflows by recording and playing back human-driven interaction with software systems that don’t support API automation. Couple the capabilities of UI flows with Power Automate’s prebuilt connectors for more than 275 widely-used apps and services that support API automation, and you have an end-to-end automation platform capable of reinventing business processes for a wide range of workloads across industries.

Microsoft Power Automate UI Flows dashboard.

For example, let’s say you work for an insurance claims processing company, where clients fill out digital forms, paper forms, or communicate through email. The claim is processed on modern cloud services while staff also maintain cumbersome paper records and legacy applications. With Power Automate, this entire process can be automated. Digitized data from scanned paper forms is processed with AI that recognizes forms, and old legacy systems can be automated with RPA—one platform that brings both worlds together seamlessly.

TruGreen, one of the largest lawn care companies in the U.S., recognizes the growing need for powerful automation capabilities.

“The need for automation at TruGreen is growing quickly, and Power Automate is, and will continue to be an important part of accelerating TruGreen’s digital transformation journey. Power Automate will help us bridge the integration gap between legacy systems and modern applications. With the new UI flows RPA capabilities, we are excited to bring automation to legacy applications with no API capability.” – Ayman Taha, CIO of TruGreen

Take a closer look at UI flows in Power Automate and sign up today for the UI flows preview.

Power Virtual Agents: Enable anyone to build a no-code/low-code virtual agent

Microsoft Power Virtual Agents, now in preview, is a new offering  that enables subject matter experts in your organization – such as customer service, sales, marketing, finance, or HR – to easily create virtual agents using a guided, no-code/low-code point-and-click graphical interface without the need for data scientists or developers. Customer service questions and other types of external or internal inquiries at an organization can be serviced by a virtual agent, freeing up staff to focus on more complex tasks.

• Microsoft Power Virtual Agents Dashboard .

There’s no code to get started, no AI expertise needed, and you can be up and running in minutes. And because they’re already integrated with Microsoft’s Power Platform, you can use hundreds of prebuilt connectors so your virtual agents can talk to your backend systems with a few clicks – or easily add capabilities like using Microsoft Power Automate to call an API.

What’s more, if you want to add code or, say, some more complex capabilities, Azure Cognitive Services and Microsoft Bot Framework are fully integrated and just a few clicks away.

Learn more about Power Virtual Agents and sign up for the preview.

Power BI security enhancements – help protect data wherever it’s accessed

Organizations recognize the value of empowering their employees to embrace data-driven insights. Power BI helps customers drive data democratization in their organization because it enables anyone to draw insights from data with easy-to-use data visualizations and analytics to guide business decisions. As customers empower every employee with Power BI, it is critical for them to ensure that they better protect their data no matter where it is accessed.

Today we’re announcing brand new capabilities in Power BI data protection.

These enhancements take advantage of Microsoft world-class security capabilities, enabling organizations to:

  • Classify and label sensitive Power BI data using the same familiar Microsoft Information Protection sensitivity labels used in Office.
  • Enforce governance policies even when Power BI content is exported to Excel, PowerPoint, or PDF, to help ensure data is protected even when it leaves Power BI.
  • Monitor and protect user activity on sensitive data in real time with alerts, session monitoring, and risk remediation using Microsoft Cloud App Security.
  • Empower security administrators who use data protection reports and security investigation capabilities with Microsoft Cloud App Security to enhance organizational oversight.

Now in preview, these capabilities engage when Power BI is paired with Microsoft Information Protection and Microsoft Cloud App Security.

Avanade, a management consulting company, recognizes the importance of powerful data security solutions.

“Changing user behavior is difficult, but having Microsoft Information Protection data protection capabilities available to users directly within Power BI, a tool we use daily, greatly increases our confidence that our documents will be labeled and protected correctly,” said Cem Urfalioglu, Director of Avanade ITS.

In addition to these security updates, major advances in AI and natural language, Power BI integration with Azure Synapse Analytics, and more are now available. Read more about all of these enhancements and to learn how to gain invaluable insights while keeping sensitive data more secure.

Teams and Power Platform empower workers to collaborate in a data-driven business

As organizations encourage a data-driven culture, it’s important they break down silos and ensure that the right people in the organization have the data they need to be involved in the decision-making process. The pairing of Teams and Power Platform brings together the best of workplace collaboration and data-driven business into one place.

Bringing Power Platform applications to Teams means users’ dashboards, apps, and automations are available within Teams, so they are easier to find, share, and use on an everyday basis. The conversational nature of Teams enhances how users interact with Power Platform applications. For example, adaptive cards and bots let users engage with these tools directly through conversation. This integration also provides IT Administrators with high fidelity control and prioritization of features.

Power Apps creators can now publish their apps directly to their company’s app library in Teams, making them more discoverable to users and improving the experience of adding these apps to Teams. By the end of 2019, users will be able to pin Power Apps to their Teams left rail, providing easy access to regularly used apps.

New triggers and actions for Power Automate are now available within Teams. These capabilities streamline the completion of common team and personal tasks, such as scheduling focus time and automating document approvals.

New features coming to Power BI in 2020 include the ability to create rich adaptive cards in Teams conversations, which help users see and act on their data. An improved Power BI tab experience in Teams will also make selecting the correct reports easier than ever.

The American Red Cross is leveraging Power Platform integration with Teams to improve disaster response times.

“When we respond to disasters, we have to ensure communication and understanding both internally and with external partners. Workplace collaboration tools like Microsoft Teams and Microsoft Power BI enable different groups to exchange information and collaborate quickly when it’s needed most. Being able to pair that with tools made in Power Apps also helps us gather important data so we’re making informed decisions to better help people in need.” – Denise Everhart, American Red Cross Division Disaster Executive – Pacific Division.

Learn more about the enhanced Power Platform integration within Teams.

AI Builder – unlock new low-code and no-code AI scenarios

AI Builder is the no-code AI capability for Power Apps and Power Automate, made generally available on October 1st. It enables organizations to tailor AI to their specific business needs and their unique data without the need to hire data scientists or pro-developers to make their apps and processes more intelligent.  AI Builder takes common AI scenarios and provides point-and-click solutions for app makers to solve everyday tasks like forms processing, object detection, and text and binary classification.

Today, we’re introducing a new set of prebuilt AI models for the Power Platform. For business users, having prebuilt AI models means they don’t have to gather data, build, or train their models. Now available in preview, these prebuilt scenarios include:

  • Key phrase extraction— identifies the main talking points from your text
  • Language detection—identifies the predominant language from your text
  • Text recognition—extracts embedded, printed, and handwritten text from images into machine-readable character streams
  • Sentiment analysis—detects positive, negative, neutral, or mixed sentiment in social media, customer reviews, or any text data

Learn more about the new prebuilt scenarios

Learn more about AI Builder in this post

Take a closer look at the new Power Platform enhancements

Browse the release notes and watch my technology keynote live or on-demand to learn more about these new updates.

Unleash your organization’s creativity and innovation with a deep dive into the Microsoft Power Platform.

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Weaving Business Intelligence into the fabric of the organization with Microsoft Power BI


Our customers recognize that in today’s digital economy, data is everywhere – enabling every single employee in their organization to harness the power of all of that data is critical to their competitive advantage.

The Power BI team has a single goal: to enable organizations to embrace a data culture by allowing everyone to make data-driven decisions through beautiful, friendly, and easy to use analytics.

As we kickoff Ignite in Orlando this week, I’m really excited to announce a set of new capabilities in Power BI that help our customers weave business intelligence deep into the fabric of their organizations.

World-class Microsoft security capabilities help protect data

Power BI plays a key role in bringing data insights to everyone in an organization. However, as data becomes more accessible to inform decisions, risk of accidental oversharing or misuse of business-critical information can increase. Microsoft has world-class security capabilities to help protect customers from threats. Over 3,500 security researchers along with sophisticated AI models reason every day over 6.5+ trillion signals globally to help protect customers against threats at Microsoft.

We are excited to announce new data protection capabilities in Power BI that build on Microsoft’s strengths in security and enable customers to empower every user with Power BI and better protect their data no matter how or where it is accessed.

  • Classify and label sensitive Power BI data using the familiar Microsoft Information Protection sensitivity labels used in Office.
  • Enforce governance policies even when Power BI content is exported to Excel, PowerPoint, or PDF, to help ensure data is protected even when it leaves Power BI.
  • Monitor and protect user activity on sensitive data in real time with alerts, session monitoring, and risk remediation using Microsoft Cloud App Security.
  • Empower security administrators who use data protection reports and security investigation capabilities with Microsoft Cloud App Security to enhance organizational oversight.
New protection metrics in the Power BI admin center

Now in public preview, the capabilities are engaged when Power BI is paired with Microsoft Information Protection and Microsoft Cloud App Security.

These updates, combined with the just announced data lineage view, show the strategic importance of incorporating Enterprise Information Management (EIM) capabilities into Power BI.

Power BI integrated with Azure Synapse Analytics and large models public preview

Today, Microsoft announced Azure Synapse Analytics, the next generation of Azure SQL Data Warehouse. With Azure Synapse, big data and SQL data professionals can collaborate, manage, and analyze your most important data with ease—all within the same service.

We’re excited to announce that Power BI is natively integrated into Azure Synapse Analytics.

  • Customers can link Power BI and Azure Synapse workspaces together providing them with a single pane of glass to develop and manage their end to end analytics infrastructure.
  • BI professionals can create enterprise grade semantic models from the Synapse workspace through integration with Power BI Desktop – which helps customers define their KPIs and business logic, apply role based security, and provides a blazingly fast in-memory cache.
  • Customers can build Power BI reports directly from within the Synapse workspace and make these reports available to their end users.
Power BI integrated with Azure Synapse Analytics

We’re also announcing the availability today of the public preview of large in-memory semantic models. As customers work with massive data volumes they will be able to create data models that go up to 400GB of compressed data, taking advantage of all the memory they have in their Power BI Premium capacity. This increase in model sizes unleashes endless possibilities for enterprise models and in conjunction with certified and promoted datasets, enables organization to have one, enterprise-grade version of the truth.

New AI driven augmented analytics and machine learning experiences

Power BI is a pioneer when it comes to bringing AI experiences into business intelligence with capabilities that empower end users, business analysts, and data scientists. Today we are announcing new experiences directly built into Power BI and Power BI Premium with no additional purchase necessary.

Decomposition Tree

Our community voted and we’ve acted – the decomposition tree idea has over 4,500 votes on We are super excited to announce the preview of the decomposition tree visual will ship in the November Power BI Desktop release next week. This visual helps users understand the root cause that contributes to a high or low KPI value broken down by one or more dimensions. The AI component of the decomposition tree is the choice to automatically find the most interesting splits and conduct the root cause analysis for you, instead of splitting manually by dimensions.

The new decomposition tree visual in action

Automated ML General Availability

Last week, Automated ML in Power BI was made generally available. With Automated ML, business analysts can build machine learning models to solve business problems that once required data scientist skillsets. Power BI automates most of the data science workflow to create the ML models, all while providing you full visibility into the process.

The Automated ML model selection screen in Power BI

Cognitive Services in Power BI Desktop (Preview)

The integration with Azure Cognitive Services allows users to better engage with unstructured data by detecting language, scoring sentiment, extracting key phrases, and identifying objects in images. Cognitive Services is available today in Power BI Premium and can be accessed from Power BI dataflows. As of next week, these capabilities will accessible directly from Power BI Desktop.

Cognitive Services menu in the Power BI Desktop Query Editor

Power BI integrated more deeply than ever with Microsoft Teams

Effortless communication using data enables everyone to make fast and accurate decisions. Today, we’re excited to announce deeper integrations with Microsoft Teams are coming soon. They’ll help your organization harness data effectively as individuals work together to achieve shared goals.

  • Starting in late 2019, we will ship a new tab for Microsoft Teams that supports the new workspace experience and reports in organizational apps. This gives all your team members access to data without leaving Microsoft Teams
  • In 2020 we’ll go further by releasing rich previews of Power BI reports directly within Teams channels and chats. We’ll include action button so everyone can quickly act on the data.
Teams and Power BI new experiences for cards and tabs

SQL Server 2019 Analysis Services and Reporting Services

With the general availability announcement of SQL Server 2019, SQL Server 2019 Analysis Services and Reporting Services are now generally available. This release is packed full of new features for both products, including calculation groups in SSAS for calculation reusability, governance settings to protect server resources, and enhanced accessibility options for SSRS. The full list of features in the SQL Server 2019 release, including those for both SSRS and SSAS, are available in the What’s New in SQL Server 2019 documentation online.

See you at Ignite!

With all these exciting innovations, the Power BI team and I are looking forward to seeing many of our customers and community members at Ignite this week. If you are attending Ignite, please attend the “Microsoft Power BI: Business intelligence strategy, vision, and roadmap update”. You can find the full set of Power BI sessions here.

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Power BI Service and Mobile September 2019 feature summary


It’s time again to recap the features and announcements in the Power BI service and mobile for the month of September. Here’s a quick rundown in case you missed it:

New Look for Power BI mobile (Preview)

We announced the public preview of the “new look” for Power BI Mobile. As part of the new look, we introduced new experiences including a home page that provides quick access to your commonly used content, custom branding for your organization, and new navigation bars that give you an easy way of navigating through the app. If you haven’t opt-ed in and tried it already, give it a shot and let us know your feedback. Check out the announcement blog to learn more.

September update for On-premises data gateway

We also updated the Power BI On-premises data gateway for the month of September. Version 3000.9.194 includes an updated version of the Mashup Engine, which will match the one released as part of the Power BI Desktop September update. Learn more about the updates in our release blog or check it out by installing the new gateway.

Template apps update (Preview)

We rolled out a highly requested update to Template apps where after downloading and connecting a template app from AppSource, all users can update the app while preserving its connection configuration. In addition, we also further enhanced the sample data experience for template apps, so end users can try out the apps before connecting to their own data. That’s right! Every template app can be installed from AppSource and viewed with sample data. When opening a report or dashboard you’ll see a new banner, reminding you that you’re experiencing the app with sample data. Learn more

Roadmap updates

We use the Power BI section in the Business Application Release Notes to share details on what’s coming in the next three to six months.  These release notes are updated weekly with details on shipping dates, screenshots, and new announcements. Here’s what we disclosed recently:

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