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Welcome to the September 2022 update. We are thrilled to announce a variety of new features such as hierarchical axis by default, translations for composite models, mobile formatting options general availability and cross tenants’ datasets sharing. There is more to explore, please continue to read on.
Power_BI_September_2022_Feature_Summary
The grouped x-axis is an organized way to add an additional dimension to the data in your charts, especially when dealing with subcategories that are specific to individual category fields or sequential subcategories such as more granular dates.
Power_BI_September_2022_Feature_Summary
Power_BI_September_2022_Feature_Summary
A different form of visualizing these additional dimensions, like using a legend or small multiples, would not be nearly as clear as the hierarchical x-axis.
Before this release, however, formatting a chart to use the hierarchical x-axis was a multi-step process involving:
This month, we’ve adjusted some behavior to ensure that hierarchy axis is automatically turned on when a user drags multiple fields into the x-axis field well of charts which support the feature. We’ve turned the concatenate labels option off by default in the formatting pane, we will auto-expand charts down to the bottom of your hierarchy when you add fields to the x-axis field well, and we will also sort on category by default once you drill down. Here’s a little table to show you the exact changes in logic:
| Behavior | Defaults Before Sept 2022 | Defaults After Sept 2022 |
| Concatenate labels option | On by default | Off by default |
| Adding new fields to the x-axis field well | Adding new fields will not change which fields are shown on the visual (user must manually expand all). | Expand to lowest level when:
|
| Sort behavior | Sort by measure when the user has not explicitly set a sort. | Sort by category when:
|
We know that adding new conditions to default behavior will create some inconsistencies in what happens when you perform an action. That said, we’re still making these changes with the hope that they will feel intuitive as you create new charts; and that they will save you clicks, formatting pane navigation, and internet troubleshooting by presenting you with the best settings for your needs right out of the box.
Let us know what you think about this update! As we continue to make progress toward both improving our visuals and smoothing out the authoring experience, we’ll need your feedback every step along the way to make sure we’re staying on course.
Power_BI_September_2022_Feature_Summary
Previously, default aggregates would be dropped from the display name, and this applies to all aggregates not just the “Sum” aggregate. We’ve received numerous feedback both from end-users and new creators that dropping the aggregate leads to users misinterpreting what aggregate is being applied if any.
For example, in the table below Sales and Unit Price columns do not indicate to users how they are being aggregated. This may cause users to think both columns have a sum aggregate applied, which is not correct for the Unit Price column.
Power_BI_September_2022_Feature_Summary
This improvement will be available on all new reports by default. If you want to enable this behavior for existing reports, you can navigate to File > Options and settings > Options > Default summarization and enable the setting: For aggregated fields, always show the default summarization type.
Power_BI_September_2022_Feature_Summary
Power_BI_September_2022_Feature_Summary
Since we’ve now improved this interaction, we’ve returned the conditional formatting button to the formatting pane for visuals with legend fields. Keep in mind that the conditional formatting rules for data labels that you’ve already set on current reports will still not be affected until you reapply the rule and publish the report again.
Starting with this release, however, any translations defined in the source will be exposed in the composite model as well so the table and column names will be translated to the user’s language, the same as in the source datasets.
You can also add translations in your composite model and to make sure your local translations are not overwritten by the translations defined in the source, you can set the ‘Altered’ property on the corresponding object to true. If you currently have translations defined in your composite model, we will set the ‘Altered’ property automatically once you open the model in this month’s Desktop release. In addition, you can use external tools to accomplish the same.
A big thanks to all who provided valuable feedback throughout the preview to help achieve this milestone. This doesn’t mean though that we’re done making improvements! We’re still actively listening to your comments, and continually striving to improve and enhance the mobile formatting experience.
Power_BI_September_2022_Feature_Summary
Power_BI_September_2022_Feature_Summary
This release contains a fix to provide more accurate error reporting when a connection error occurs.
It also contains a fix that prevents Dremio Software from displaying VDSs in reports in some cases.
The Profisee Connector for Power BI makes it fast and easy to access clean, complete and accurate data to help organizations accelerate both operationalized BI and “ad hoc” analytics — even if they aren’t familiar with master data management (MDM) or the Profisee platform. With just a few clicks and through Profisee’ s simple ‘guided’ import experience, users can load data into Power BI from Profisee just like any other native data source, allowing them to easily model and leverage data directly in Power BI.
With in-place sharing, the shared data remains in the provider tenant. Consumers query the shared datasets directly in the source data systems. Also, they can connect to external datasets using the Direct Query method and build their own composite models and reports on top of the shared data, eliminating the need to manually transfer data between organizations. These composite models built on top of external datasets can also be analyzed in excel. This capability is particularly useful when you want to share data with external partners, customers, subsidiaries, vendors, consultants, and other business partners. We’ll be excited to see how you use this capability to enable enriched data collaboration with your external partners and unlock further value through data!
Recognizing the need to provide governance over external sharing, the dataset sharing capability has two tenant settings that enable Power BI admins either to disable cross-tenant data sharing entirely or to control which users and/or user groups are allowed to share datasets across tenants.
These controls enable organizations to better manage dataset access and sharing in line with their data policies.
Power_BI_September_2022_Feature_Summary
Power_BI_September_2022_Feature_Summary
When external data sharing is enabled, to initiate dataset sharing with external users, the specified dataset owners need to go to the settings of the specific dataset to be shared and enable external sharing there (see image below). This provides additional granular control over which datasets can or cannot be shared externally.
Power_BI_September_2022_Feature_Summary
Once external sharing is enabled in the dataset settings, data providers can share the datasets externally just as they would with internal users. External users need to have a registered Azure Active Directory (Azure AD) guest account in the provider tenant for them to be able to access the shared datasets. The external users can then discover these datasets in Power BI Desktop, as illustrated in the following image.
Power_BI_September_2022_Feature_Summary
External users can connect to the external dataset, and then build composite models by adding either other external datasets or their own internal datasets. These new datasets can then be published to the Power BI service. Once published, the external users can access the new datasets in the Power BI service in their own tenant and build further reporting on top of them. These reports can be shared with other users in their own organization, provided that those users also have the requisite Azure AD guest credentials on the original provider tenant.
Look out for more improvements to business-to-business (B2B) sharing in future releases! We will be releasing this feature over the span of the next few weeks.
Power_BI_September_2022_Feature_Summary
On the Create page, if you select the ‘Pick a published dataset’ option, you’ll be able to pick if you want to auto-create a report or, through the split button, if you want to start from a blank report.
Power_BI_September_2022_Feature_Summary
You can also access these options in the Datahub, through the Create a report dropdown, where you can access both the auto-create and from-scratch options.
Power_BI_September_2022_Feature_Summary
There are still a few types of datasets we don’t yet support for auto-generated reports. In these cases, you’ll just have the ‘blank report’ option available to you.
Power_BI_September_2022_Feature_Summary
As of today, the Power BI mobile apps now support the full range of fonts available in Power BI Desktop. This means that in the mobile app, the report will look exactly as you designed it, with the same fonts that you chose when you created the report in Desktop.
To support WebView2, the minimum OS required by the Power BI Windows app has changed to Windows 10 version 17763. App upgrades will not be available for Windows devices running on earlier versions.
Screenshot_of_install_WebView2_message_in_the_Power_BI_app_for_Windows
If you see one of these messages, please install WebView2. Read how in this article.
The new library makes it easy to embed Power BI content and leverage Power BI embedded capabilities such as bootstrapping and phased embedding for better performance, applying styles to the embedded component, setting event handlers, and more.
The library is publicly available on npm and GitHub and also includes a demo application which you can run in just a few easy steps.
Learn more here.
We’ve made some improvements to our Power BI integration in Jupyter notebooks, making it even easier for you to embedded Power BI reports in your Jupyter notebooks.
The Powerbi-jupyter library is a python IPyWidget that brings Power BI embedded capabilities to Jupyter notebooks, allowing users to tell complete stories with their data in their Jupyter notebooks. The library supports embedding existing reports for both viewing and editing, and creating new reports based on data available in Power BI.
The update includes changes to the available authentication methods and the report embedding process, minimizing the complexity, and making the embedding process simple and quick. Check out the updates here and learn more about the integration here.
You can learn more about exporting paginated reports here.
The first HTML Viewer Certified by Microsoft now is part of the first Visuals you can buy and manage directly through Microsoft.
Power_BI_September_2022_Feature_Summary
Microsoft announced this new functionality in July 2022. Currently in preview and requires Power BI Desktop July 2022 or later.
Obviously, this makes the purchase and management of licenses easier. Here are some of the main advantages:
Try the Shielded HTML Viewer now on your own data by downloading it from the AppSource. All features are available for free to evaluate the Shielded HTML Viewer within Power BI Desktop.
Visit us at if you have any questions or remarks: https://visuals.novasilva.com/.
Power_BI_September_2022_Feature_Summary
MAIN FEATURES:
Try Drill Down Combo PRO now by downloading the visual from AppSource.
Learn More about Drill Down Combo PRO by ZoomCharts.
Intelligent Narratives by Arria bring NLG to your dashboard, featuring a wide array of analysis types for generating plain-language reporting to complement your visuals. Arria’s out-of-the-box narratives are user-configurable – no coding necessary.
Power_BI_September_2022_Feature_Summary
Drill down into all your dashboard’s underlying data to tap into insights that you might otherwise miss. From key-driver analysis to anomaly detection, trend analysis to correlations – you no longer have to sift through mountains of data to get the answers to your organization's most important questions.
Choose the analysis type you need, then configure the narrative according to your business requirements. Narratives are generated instantly, based on your selections.
Power_BI_September_2022_Feature_Summary
In addition to advanced natural language generation (NLG), Arria’s custom visual also provides natural language query (NLQ). You can ask questions about your data and get instant, precise responses.
Power_BI_September_2022_Feature_Summary
Find the Arria add-in on AppSource.
Check out a showcase report.
Check out what’s new.
To learn more:
https://www.arria.com/business-intelligence/
https://docs.integrations.arria.com/BI/PowerBI/en/index-en.html
Show query is a new capability added to data preview. It allows you to copy to the clipboard the DAX query used to create the table preview. This may be useful for those who want to reuse the DAX query for future actions.
show_query
Column resizing, an additional capability added to the data preview table.
With a rendered table, a user will be able to resize the width of the columns through a drag handle. This functionality makes the table preview more readable, especially for long column input values.
Old size
old_column_size
New size
new_column_size
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!
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