Welcome to the Power BI July 2025 Feature Summary!

This month’s update marks a notable evolution for Power BI. With richer connections to Microsoft 365, smarter Copilot features, and the integration of reporting through PBIRS and SQL Server 2025, users are set to benefit from more seamless workflows and intelligent insights. Whether you’re eager for enhanced collaboration or advanced AI, this month’s innovations are designed to open new possibilities for every Power BI enthusiast.

Contents

• Events and Announcements

Power BI is turning 10!

The Microsoft Fabric Community Conference is back x2!  Join us in Vienna and Atlanta!

• General

Expanded data sharing with M365

PBIRS Will Consolidate On-Premises Reporting Services from SQL Server 2025

• Copilot and AI

Improvements to standalone Copilot answers

Limit Copilot search to prepped content

Verified answers from Copilot search

AI Data Schema – updates (Preview)

Customized instructions for summaries through subscriptions

Narrative visual available in subscription snapshot and export

Textual responses for Data inquiries

• Reporting

New Power BI App Navigation Menu in Teams

Influencing sort for visual calculations (Preview)

Field parameters (Generally Available)

Organizational themes (Preview)

Improvements to Pie and Donut Charts

• Modeling

Direct Lake in Desktop from Mirrored and SQL databases

DAX query view and web modeling view switcher

• Data connectivity

Support for PQO Gateway Connections for Paginated Reports

Snowflake connector implementation 2.0 (Generally Available)

New Google BigQuery (Microsoft Entra ID) connector implementation (Preview)

New Databricks connector implementation (Preview)

Connect to Netezza database with the user-installed ODBC driver (Preview)

PostgreSQL connector adds support for Microsoft Entra ID authentication

• Mobile

Home in the Power BI mobile app has been reorganized

• Developers + API’s

Power BI Enhanced Report Format (PBIR) Update

• Visualizations

Stacked Bar Chart with Line by JTA – a Data Scientist’s Visualization Tool

Linear Gauge by Powerviz

Inforiver Premium Table – High-Performance, Formatted, and Scalable Table Visual for Power BI

Inforiver Analytics+ 4.7 is here with 100+ Charts, Gantt, KPI Cards, and Tables

• Closing

Version number: v:2.145.1105.0 

Date published: 07/14/25

 

Events and Announcements

Power BI is turning 10!

Over the past decade, Power BI has grown from an idea into a global community of millions, helping people everywhere turn data into insights and action. We’re so grateful for your passion, ideas, and energy. Now it’s time to party with Power BI’s own Guy in a Cube!

Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future. Don’t miss the live Q&A, where you can ask your burning questions or just wish Power BI a happy birthday. Save the date.

Join us for contests and special giveaways to mark this milestone. Find all the activities at https://aka.ms/pbi10.

Let’s make this a birthday to remember! #PBI10

The Microsoft Fabric Community Conference is back x2!  Join us in Vienna and Atlanta!

The Microsoft Fabric Community Conference is back for its third year! We are excited to announce that #FabCon is happening again, in Atlanta, Georgia! Mark your calendars for March 16-20, 2026.

Don’t miss out. Register here and use code MSCATL for a $200 discount on top of current Super Early Bird pricing!   

Don’t want to wait until March? Join us at FabCon Vienna from September 15-18, 2025.

Register and use save €200 with code FABCOMM.

General

Expanded data sharing with M365

Modern companies and information workers run on data. That’s why Power BI has enabled customers who use both Microsoft 365 services and Power BI to share core item metadata to make it easier for office workers to get more done. We’re extending this integration so that we can improve Power BI item discovery & search relevancy from M365 Copilot experiences & Office search.

The previous version of M365 data sharing was limited to barebones metadata like report names and creation dates. To enable consumers to find data from where they usually work in M365, Power BI will begin sending more context about reports to M365 services. From chart titles and the descriptive text on your dashboards to the model’s last refreshed date, we know this extended metadata will make it easier to find the right reporting to make a data-driven decision.

June 2025 marks a change of terms for the scope of the data shared as controlled by the tenant admin setting. To learn more, refer to the Share data with your Microsoft 365 services documentation.

Stay tuned for updates in the upcoming months as new capabilities are shared.

PBIRS Will Consolidate On-Premises Reporting Services from SQL Server 2025

Beginning with SQL Server 2025, On-Premises Reporting Services will be unified under Power BI Report Server (PBIRS). No new versions of SQL Server Reporting Services (SSRS) will be released. PBIRS will become the default on-premises reporting solution for all paid SQL Server editions. We will release more information about specific editions with access to PBIRS when SQL Server 2025 is Generally Available (GA).

For more information, refer to the Reporting Services consolidation FAQ documentation.

Copilot and AI

Improvements to standalone Copilot answers

Previously, standalone Copilot could only answer data questions and create visuals about a report by looking at the measures and other data fields in the model. As of a late-June update, Copilot now looks first at the report itself before turning to the model. Reports contain curated data already shaped by the report author — when Copilot takes cues from that analysis instead of starting from scratch it leads to better, more relevant answers with less guesswork.

Full details can be found in the Standalone Copilot experience in Power BI (preview) documentation. Try it out and tell us what you think!

Limit Copilot search to prepped content

Are you interested in trying Power BI’s standalone Copilot but prefer not to engage with all your data? Many users have indicated that having broad controls for Copilot search is crucial for data teams as they prepare models for AI use. Often, teams seek the capability to test Copilot with specific reports or workspaces while completely hiding others.

Admin settings have been introduced to support these use cases. Tenant admins can now set the default behavior for Power BI’s standalone Copilot to limit search responses to only items that creators have marked as Prepped for use with AI. Workspace admins can refine that control using the delegated workspace setting to allow Copilot to search across all content, or limit focusing on just prepped content.

These settings will only affect the search functionality of Copilot. It is designed to give admins control to mitigate the risk of Copilot finding an ill-maintained or purpose-built report in a corner of your PBI tenant and using that report to answer a user’s data question.

Attaching an item directly allows data teams to test Copilot with new reports before they’re ready, while business users can still get assistance from Copilot with their preferred reports. We encourage you to configure these settings to establish default behaviors that align with your organization’s needs and to utilize workspace settings to help your team access the most relevant content.

Tenant admins can find details in the tenant settings documentation. Workspace administrators can refer to the Copilot search documentation for instructions.

Verified answers from Copilot search

Power BI’s standalone Copilot now answers data questions by matching them with human-curated common questions and verified answers. These questions are defined by data creators and mapped to visualizations that have been curated by content creators as the right answer to these questions. Creators can learn more about how & when to create verified answers as part of Preparing your data for AI – Verified answers documentation.

The question approved by the creator for the visual is included in the results list. This may closely match your original wording or simply contain related keywords. We display the question (also referred to as the prompt) to confirm its suitability as a starting point for Copilot to address your inquiry.

In this example, the first two options appear promising according to different reports. You can view the verified answers by typing ‘show me the first’ or by clicking the button ‘Use 1’. It is also possible to extend the conversation by requesting a summary of the associated report from Copilot, or by asking for a breakdown of veggie pizza sales by quarter.

As you continue to experiment with Copilot, we look forward to your feedback on how verified answers show up in our experiences and what you’re hoping for next. For a comprehensive understanding of Copilot search and our matching process, please refer to the Find content with Power BI Copilot search documentation.

AI Data Schema – updates (Preview)

We’ve heard your feedback and are excited to announce several improvements to the AI Data Schema capability within the Get your Data AI ready preview, rolling out this month.

Search box for fields: The new search box feature allows users to locate specific fields within their semantic model efficiently. This functionality simplifies the process of including or excluding fields in an AI data schema and is particularly useful when dealing with large models.

Visibility indicators for hidden fields: A show/hide icon has been introduced to indicate which fields are not visible in the report view, offering information about the semantic model during the AI data schema definition process.

These updates are designed to streamline your workflow and make it easier to prepare your data for AI. For more details, refer to the documentation on how to Prepare your data for AI – AI data schema. Please continue to submit your feedback directly in the comments of this blog post or in the feedback forum.

Customized instructions for summaries through subscriptions

Power BI report subscriptions support summaries by Copilot at the top of the email. These summaries can be helpful for textual descriptions of the report in general, or a specific page for a more targeted audience. These summaries (like the summaries you see in the Copilot pane or in the standalone Copilot) also honor custom instructions set by the semantic model’s author.

Narrative visual available in subscription snapshot and export

Then narrative visual is now available is screenshot export services, which means subscriptions and export to PDF/PPT as static data. These narrative visuals are key parts of reports and provide targeted, human-readable insights, making it easier to digest the report briefly within a subscription. Export to PDF/PPT now supports a snapshot in time of the narrative visual which can be used to reference the data when you’re working outside of Power BI.

To learn more, please refer to the Create a narrative Visual with Copilot for Power BI documentation.

Textual responses for Data inquiries

This month, Copilot has introduced a textual summary feature that complements generated visuals for data-related queries. The summary offers an overview and highlights the key elements of the visual response prior to more detailed analysis.

The textual answer also helps you understand why your visual answer may have been blank before. If your question resulted in no results from the data e.g. there were no sales in the region you’re asking about, now Copilot’s textual answer will respond accordingly to ‘there were no sales in that region’ and hide the blank visual. You can still explore the blank visual to swap out fields or add filters through Explore experience.

To learn more about asking data questions in Copilot, refer to the Ask Copilot for data from your model documentation.

Reporting

New Power BI App Navigation Menu in Teams

The new left navigation menu has been launched in the Power BI app for Teams. This enhancement streamlines the way you move through the app, making it simpler to find and access your Power BI content within Teams. The redesigned menu brings a more user-friendly layout, helping you quickly locate essential tools and features. Try out the updated navigation today to enjoy a more seamless Power BI experience!

To learn more about the Power BI app for Teams, refer to the documentation.

 

Influencing sort for visual calculations (Preview)

We have added a highly requested feature to visual calculations! Most visual calculations exclusive functions now have an optional ORDERBY parameter, using the ORDERBY function. Previously available in window functions like INDEX, OFFSET and WINDOW, this option is now included in functions such as RUNNINGSUM, MOVINGAVERAGE, PREVIOUS, and more.

This improvement increases the flexibility and capability of visual calculations, allowing for advanced computations based on data sorting. For instance, you can now use RUNNINGSUM for Pareto analysis by sorting data in descending order.

To visualize your top-selling product colors, use a chart as demonstrated in the example:

This chart is sorted by sales amount in descending order, so the colors are not arranged alphabetically. To include the Pareto analysis, first calculate the percentage of the grand total sales that each color represents, using the provided visual calculation template ‘Percent of grand total’:

Percent of grand total = DIVIDE ( [Sales Amount], COLLAPSEALL ( [Sales Amount], ROWS ) )

Next, include the Pareto line by employing another visual calculation using the ‘Running sum’ template:

Pareto = RUNNINGSUM ( [Percent of grand total] )

However, this issue arises because the colors are not organized alphabetically in the visual representation, only within the matrix.

Creating a true Pareto line requires a more complex DAX statement, for example using SUMX and WINDOW:

Pareto using WINDOW =

SUMX (

WINDOW ( 0, ABS, 0, REL, ROWS, ORDERBY ( [Sales Amount], DESC ) ),

[Percent of grand total]

)

While this method is functional, utilizing RUNNINGSUM with the new ORDERBY parameter offers greater convenience. It significantly simplifies the process of adding the Pareto line:

Easy Pareto = RUNNINGSUM ( [Percent of grand total], ORDERBY ( [Sales Amount], DESC ) )

Following a brief application of visual level formatting, your Pareto analysis is complete:

This is an example of how this new parameter enables more advanced and flexible calculations using visual methods. We encourage you to try it and share your feedback with us! To learn more about visual calculations, refer to the documentation.

Field parameters (Generally Available)

Yes, you read that right, Field parameters are now generally available! This fan-favorite has been popular since its introduction in May 2022, because it allows users to dynamically change the measures or dimensions being analyzed within a report. It enables end-users to tailor the analysis within the report by selecting specific measures or dimensions of interest.

This month, we improved how a matrix retains its expanded or collapsed state. Previously, if using a field parameter in an expanded matrix and switching the dimension or measuring the parameter selected, the matrix would collapse. Starting this month, efforts have been made to keep the matrix in the same state as possible. While it is not always possible or desirable to keep the same expansion state, it can often be useful. For example, in a matrix that shows sales by Product Category, a field parameter called Product Aspect can be added to allow choosing between product Class, Color, and Model. Upon selecting the product Class and expanding the first Product Category node (Accessories), the matrix appears as follows:

Now, switching the column selected by the Product Aspect field parameter to Color will no longer collapse the entire matrix. Instead, starting this month, the expand and collapse state is preserved as much as possible. Therefore, when transitioning to Color, the initial Product Category (Accessories) remains expanded:

To refine the scenario, we will categorize Product Aspect as the primary level, with Product Category as the secondary level. Please expand the Color ‘Black’ to review the sales distribution for each Product Category within this Color:

Switching Product Aspect to Class will expand the matrix for all classes due to the data split by Product Category. Without the ‘Black’ value (since Color is removed), we can’t keep that specific item expanded, so we default to expanding the whole field selected by the Product Aspect parameter to maintain detail.

To collapse everything up to Class, utilize the Drill up button located in the visual header:

With this latest addition to field parameters, they are now generally available. To learn more about field parameters, refer to the documentation.

Organizational themes (Preview)

Power BI now supports Organizational themes to ensure consistent branding and styling across all reports, whether created manually or generated with Copilot. Power BI tenant administrators can use the Admin Portal to centrally manage and distribute custom JSON themes—uploading, validating, managing, renaming, adding descriptions, and controlling their visibility. This centralization ensures that each report accurately reflects the organization’s visual identity.

When a theme is uploaded, it is disabled by default; administrators have the option to enable it.

Enabling a theme in the Admin Portal makes it available in the theme gallery for report creators to use in both Power BI Desktop and the Power BI Service. Previously, this gallery was only accessible on Desktop, but with the introduction of Organizational Themes, it is now available across both platforms—ensuring a consistent and branded experience no matter where reports are created.

A key feature is the Copilot toggle, which allows admins to designate a theme as the default for Copilot-generated reports. When enabled, Copilot will apply the selected theme to the first page of any new report it creates, ensuring AI-generated content is on-brand from the start. Report creators can still override this by selecting a different theme from the theme gallery.

As a bonus, the theme previously used exclusively by Copilot is now available to all users. It appears at the end of the theme gallery list, allowing anyone to apply its clean, modern style—even when building reports manually. Themes with the ‘Default theme Copilot’ toggle enabled can work in copilot without being enabled for the gallery.

Organizational themes can be configured by administrators only. Report creators have access to the themes provided to them, but only administrators can define, manage, and publish these themes centrally through the Admin Portal.

To learn more about Organizational Themes, refer to the blog post on the Power BI Core Visual channel.

Improvements to Pie and Donut Charts

The Power BI Core Visuals team continues to evolve the visual formatting experience, and the latest update brings exciting enhancements to pie and donut charts. These improvements align with recent updates to visuals like bars, columns, and lines—offering more consistent styling options across the platform.

The format pane includes a ‘Slices’ section where report creators can adjust slice colors, transparency, and borders. Users can apply settings to all slices or target individual series using the ‘Apply settings to’ dropdown. Selecting a specific series allows you to adjust both color and transparency; selecting ‘All’ limits you to adjusting transparency only.

Additionally, users can now modify the inner border width of slices and even hide inner borders entirely mirroring the clean look available in stacked bar and column charts.

These updates not only enhance visual polish but also improve accessibility and design consistency.

To dive deeper into this feature and stay up to date with the latest developments, be sure to check out our dedicated blog post on the Power BI Core Visual channel.

Modeling

Direct Lake in Desktop from Mirrored and SQL databases

Create Direct Lake semantic models in Power BI Desktop from SQL databases and Mirrored databases in Microsoft Fabric. Simply go to the OneLake catalog, pick the SQL or mirrored database, and choose Connect.

You can now view and navigate to the Fabric data source selected from the OneLake catalog during the creation of the Direct Lake model. This will open in your web browser so you can validate the data you need there, then return to Power BI Desktop to continue creating the semantic model.

Once the semantic model is created, you can open it in the web to create reports or explorations or go to File. Then Blank report to open a new instance of Power BI Desktop to create a report using the model you just created.

To learn more, refer to the Direct Lake in Power BI Desktop (preview) documentation.

DAX query view and web modeling view switcher

Easily navigate between web modeling and DAX query view with a view switcher. Choose Open data model or Write DAX queries on any published semantic model in your browser, and you can easily switch between seeing the model diagram or writing queries to view the data and calculations.

To learn more, refer to the DAX query view documentation.

Data connectivity

Support for PQO Gateway Connections for Paginated Reports

Paginated reports can now be created using an on-premises data source. To connect to an on-premises data source, start by creating a gateway connection as outlined in the Add or remove a gateway data source documentation. After establishing the gateway, use its connection details within the Connection Credentials section to link to the on-premises data source.

For additional information about supported on-premises data sources, refer to the Service Gateway Data Sources documentation. Details on connecting paginated reports to data sources with PQO are available in the Connect paginated reports to data sources using Power Query in Power BI Report Builder documentation.

Snowflake connector implementation 2.0 (Generally Available)

We are pleased to announce the general availability of the Snowflake Connector Implementation 2.0. Built using the open source Arrow Database Connectivity (ADBC) driver, this connector is especially efficient at fetching large datasets with minimal overhead and without serialization or copying. The ADBC driver also incorporates security enhancements such as memory safety and garbage collection. Additionally, collaboration with the open-source community enables more rapid updates, utilizing modern tools and secure development lifecycle (SDL) processes.

For example, when comparing the ODBC implementation (1.0) to the new ADBC implementation (2.0) using the NYC Taxi and Limousine green dataset, the load time improvements were measured as:

We greatly appreciate your trial and feedback on this connector since the preview in January 2025. Along with this GA release, we’ve upgraded the connector with the following improvement:

• Boolean columns return Boolean types, fixing the issue where Boolean columns were treated as String types in an empty record set schema (including metadata).
• New setting to set the maximum timestamp precision to microseconds.
• Improved Duration support.
• Added support for navigation properties to ADBC.
• Improved tracing in the ADBC driver, where the ActivityId can now be traced through the driver layer.

Beginning in July 2025, all newly established connections will use this implementation by default to incorporate performance and security updates. In addition, we will gradually transition existing customers to the 2.0 implementation in phases, with updates being applied to different regions through November 2025. During this period, you can continue testing the 2.0 implementation by using the Implementation=2.0 option on your Snowflake connections. Following the transition, connections without a specified implementation will be automatically assigned to the 2.0 implementation.

To learn more, refer to the Snowflake connector documentation.

New Google BigQuery (Microsoft Entra ID) connector implementation (Preview)

In May 2025, we announced the new implementation for Google BigQuery connector, built using the open-source Arrow Database Connectivity (ADBC) driver. This month, we are pleased to share that this capability is now also available for Google BigQuery (Microsoft Entra ID) connector.

To access this feature, in Power BI Desktop, navigate to Options and settings (under the File Menu) > Options > Preview features, click the checkbox to enable the Use new Google BigQuery connector implementation option. Once the option is on, all the newly created connections will automatically use the new connector implementation.

Your existing connections remain unchanged. You can also test the new feature by editing the queries. Learn more about the Google BigQuery (Microsoft Entra ID) connector from Google BigQuery (Microsoft Entra ID) documentation.

We highly value your feedback on this feature and encourage you to share the feedback with us.

New Databricks connector implementation (Preview)

To enhance the integration with Databricks, this month, we are introducing a new implementation for Databricks connector, currently available in preview. It uses the open-source Arrow Database Connectivity (ADBC) driver instead of ODBC to connect to and retrieve data from Databricks, which improves performance especially for large result sets and incorporates security features such as memory safety and garbage collection.

Learn more about this feature, including the configuration instructions, from the Azure Databricks connector and Databricks connector documentation.

Connect to Netezza database with the user-installed ODBC driver (Preview)

This month, we’re previewing a new way to access Netezza data using the user-installed ODBC driver, letting you use the native client tool from the source.

To access this feature, in Power BI Desktop, navigate to Options and settings (under the File Menu) > Options > Preview features, click the checkbox to enable the Use user-installed Netezza ODBC driver option.

More details about this feature, including the driver installation and configuration instructions, can be found in the IBM Netezza database documentation.

PostgreSQL connector adds support for Microsoft Entra ID authentication

You can now use Microsoft Entra ID authentication to access PostgreSQL databases, providing an alternative to the database (username/password) authentication method. For more information, refer to the PostgreSQL connector documentation.

Mobile

Home in the Power BI mobile app has been reorganized

We’ve reorganized the home screen in the Power BI mobile app to help you access your most important content more quickly. Recent and frequent items are now combined into a single carousel collection that highlights your key content, and a new Favorites carousel has been added to give you one-tap access to the items you rely on most. These changes, along with the updated navigation buttons at the bottom of the screen, are designed to make your navigation in the app more efficient and focused.

Developers + API’s

Power BI Enhanced Report Format (PBIR) Update

The PBIR file format represents a significant step forward in empowering pro developers and teams to fully embrace source control, CI/CD, and collaborative development for Power BI report development.

With this update, we addressed the final set of limitations in PBIR, including:

• Support for deploying PBIR reports using Fabric deployment pipelines.
• Compatibility with the Save a copy feature in service.
• Compatibility with report usage metrics in service.
• Full integration with Power BI report REST API’s.

With these key capabilities now in place, PBIR is officially on the path to General Availability – alongside the broader Power BI Project (PBIP) file format, also known as developer mode.

Visualizations

Stacked Bar Chart with Line by JTA – a Data Scientist’s Visualization Tool

Clustered bar chart with stacked detail and trend line overlay

Overview

This custom Power BI visual from JTA – The Data Scientists seamlessly blends the clarity of a traditional bar chart with the flexibility of a stacked bar, enabling an insightful view of multiple metrics in a single, cohesive display.

Each category features two bars:

• A solid bar that represents the total value of a primary metric, giving an immediate sense of overall volume or performance.
• A stacked bar that breaks this total down into individual components (e.g., product-level or subcategory contributions), revealing the underlying structure behind the headline number.

Overlaying this bar setup is a dynamic line chart, which tracks a secondary metric across categories. This layered visualization allows for direct comparison between trends and totals, helping users:

• Identify patterns and deviations.
• Spot mismatches between volume and value,
• Extract deeper, actionable insights briefly.

The visual supports rich customization options, allowing users to configure the stacking, color schemes, and axis formatting to suit specific analytic goals. Whether used for comparing product sales, departmental contributions, or multi-tiered KPIs, this chart empowers users to navigate complex data with clarity and precision.

Key Features:

• Change Chart Orientation
  • Move the stacked bar: You can shift the position of the stacked bar from left to right or vice versa for better visual alignment.
• Customize Axes
  • Modify the X and Y axes to enhance the chart’s appearance and readability.
  • Use the dual Y-axis feature:
  • One Y-axis for the bar chart; The other for the line chart.
  • Customize the range.
• Adjust the Legend
  • Customize the legend position (top, bottom, side).
  • Change the look and feel, spacing, and even the width for clarity.
• Style the Elements
  • Tweak the line and column styles—color, thickness, and shape—to match your preferred aesthetic or branding.
• Interactivity Features
  • Click on bars or legend items to highlight or filter specific data.
  • Filter reports dynamically by clicking on any bar in the chart.
  • Emphasize key insights by highlighting bars and linked legend items.
• Dive Into Customization
  • Explore all the settings to tailor the chart exactly to your needs.

If you have any doubts reach out to custom.visuals@thedatascientists.com.

Resources

• Download Revenue Filter by JTA for free: AppSource
• Learn more about us: JTA The Data Scientists

Linear Gauge by Powerviz

Powerviz Linear Gauge (Power BI Certified) is an advanced visual that is used to display the progress against set targets on a linear scale, with an axis displaying a range of values or percentages.
The Linear Gauge effectively conveys the status or progress of a task or metric being measured.

Key Features:

• Gauge Styles: Four different gauges including Linear, Bar in Bar, Cylinder, Thermometer, and customization option.
• Orientation: Easily switch between Vertical and Horizontal orientation.
• Templates: Select from pre-made templates or customize your own.
• Scale: Select an absolute or percentage scale, with a customizable min-max range.
• Targets: Set a custom target or apply a target using a value field.
• Data Colours: 30+ color palettes available.
• Band: 30+ color palettes and customization options.
• Labels: Improve readability with labels.
• Small Multiples: Divide visuals based on fields.
• Ranking: Filter Top/Bottom N shows remaining as ‘Others’.

Other features included are fill pattern, annotation, grid view, show condition, and more.

Business Use Cases:

Sales Performance Tracking, Project Milestone Monitoring, Financial KPI Analysis,

• Try Linear Gauge Visual for FREE from AppSource.
• Check out all features of the visual: Demo file.
• Step-by-step instructions: Documentation.
• YouTube Video Link.
• Learn more about visuals.

Drill Down Shape Map PRO by ZoomCharts

Bring your geographic data to life with Shape Map PRO! With this Power BI certified custom visual, you can create slick and easy-to-explore map charts for the most interactive reports. In addition to providing quick and actionable insights, the map chart will also seamlessly integrate with other visuals as an interactive filter for the entire report – for example, click on a country to filter data in other visuals.

Key features:

• Customization: Configure any aspect of your map chart: nodes, labels, shapes, tooltips, auras, and more.
• Node Clustering: If enabled, nearby nodes will be grouped into cluster nodes that will expand when zooming in.
• Pie Charts on Nodes: You can use ‘Category’ field and show cluster node contents as pie charts.
• Up to 10 Shape Layers: Use built-in shapes (World, USA, UK, Australia) or store your own shapes with the Lasso tool. Show different layers at different zoom levels.
• Conditional Formatting: Set color and opacity rules to each shape based on their node values.
• Multiple Selection Methods: Click on individual nodes for a single selection or click on shape to select all nodes inside. Use rectangular or lasso tools for multi-selecting.

Get on AppSource

Inforiver Premium Table – High-Performance, Formatted, and Scalable Table Visual for Power BI

Inforiver Premium Table redefines table-based reporting in Power BI. Purpose built for business reporting, operational dashboards, and customer-level analytics.

Unlike matrix visuals that primarily pivot numerical data, Inforiver Table shines in displaying categorical data with rich formatting & Excel-like control. Built for business users, it supports rich formatting, inline edits, and custom calculations — no DAX or coding required.

Key Highlights:

Built for Wide & Long Tables

• Seamlessly handle tables with 1000 columns and thousands of rows.
• Efficient horizontal scrolling & column management (freeze, hide, reorder).
• Column groups for organizing KPIs (e.g., Actual, Plan, Forecast, Variance).

Export Support

• Export to Excel and PDF with formatting preserved, and export raw data to CSV.
• Ideal for regulatory, operational, and audit-ready reports.

Performance-Optimized

• Fast load for large datasets.
• Built-in performance tuning options.
• Pagination with Row Selector – Navigate large tables easily with built-in pagination.

Ideal for Categorical Data

• Best suited for non-aggregated, row-by-row categorical display.
• Show combinations like Product Name, SKU, Customer, Date, Invoice— without pivoting.
• Inline edits, row-level comments, & audit tracking for collaborative reviews.

Try today from Microsoft AppSource. Discover more about the visual on the Inforiver website.

Inforiver Analytics+ 4.7 is here with 100+ Charts, Gantt, KPI Cards, and Tables

Inforiver Analytics+ Now has over 100+ chart types, KPI Cards, Tables, and Gantt in a single visual. A one–stop solution that enables easy migration from legacy BI tools like Tableau or Qlik.

Inforiver Analytics+ addresses key gaps in Power BI by introducing 50+ chart types that are unavailable natively.

Latest Updates:

• Visualization:
  • Multi Axis Chart (up to 5 axes, 10+ series types) for enterprise users, including stacked + clustered and vertical lines.
  • Gantt and resource Gantt for project planning.
  • Advanced charts: Network graph, Sankey, Tornado/Butterfly, Packed Bubbles, Parallel Coordinates, Histogram.
  • Tailored charts: Quadrant plot, Connected Scatter, Cluster Breakdown Waterfall.
• High Performance Mode to support 10x more data points than Power BI with Canvas Rendering.
• Lasso and reverse Lasso across 100+ charts.
• Conditional formatting with quick rules, action dots, and classification.
• Time intelligent reference lines/bands, error bars – no DAX or bookmarks.
• Legend support – Size bubble, Gradient band.
• Storytelling with canvas and data-point annotation.

We offer complete IBCS visualization templates for standardized, business-driven, no-code reporting. Universal trellis support and 4D hierarchies with rich annotations are already available. For further information, refer to the Inforiver Analytics+: Vision and Roadmap 2025. Explore Analytics+ on Microsoft AppSource.

Closing

This concludes this month’s update.

We hope the information provided in this update is useful. If you installed Power BI Desktop from the Microsoft Store, please leave us a review.

As always, keep voting on Ideas to help us determine what to build next. We are looking forward to hearing from you!