Azure DevOps Services | Azure DevOps Server 2022 - Azure DevOps Server 2019
An Analytics view provides a simplified way to specify the filter criteria for a Power BI report based on Analytics data. Analytics views support Azure Boards data. Each view corresponds to a flat-list of work items. Work item hierarchies aren't supported.
Svarīgi
Analytics views only support Azure Boards data (work items). Analytics views don't support other data types, such as pipelines. Views provide a flat-list of work items and don't support work item hierarchies. At this point, we have no plans to update the connector to support other types of data. For information on other approaches, see About Power BI integration.
You can use a default Analytics view or create a custom view. Create custom views in the web portal for Azure DevOps. After you define a view that supports the data of interest, you can then open the view using Power BI Data Connector to create a report.
By default, project members have permission to query Analytics and create views. For more information about other prerequisites regarding service and feature enablement and general data tracking activities, see Permissions and prerequisites to access Analytics.
Users with Stakeholder access have no access to view or edit Analytics views.
Piezīme
If Boards is disabled, then Analytics views is also disabled. All widgets associated with work item tracking are also disabled in the widget catalog. To re-enable a service, see Turn on or off an Azure DevOps service.
Default Analytics views
Azure DevOps provides default Analytics views. The default views are immediately accessible from Power BI. The view you select determines the set of records, fields, and history to pull into Power BI.
The following screenshot shows the default views created for a project based on the Agile process. For more information, see Manage Analytics views.
Piezīme
The labels for the default Analytics views differ depending on the process that was chosen for your team project: Basic, Agile, Scrum, or CMMI. The functionality available to you remains the same unless explicitly mentioned.
When you use the Power BI Data Connector, these same default views appear in the Navigator dialog. The view you select determines the set of records, fields, and history that is loaded into Power BI.
Select Azure DevOps as your data connector.
Enter your account information.
Select the data that you want to use.
Select Azure DevOps Server as your data connector.
Enter your server information.
Select the data that you want to use.
Options for work item types and historical data
Default Analytics views work well for customers with small datasets. Each default Analytics view provides a combination of options for work item types and historical data. The following tables describe each set of options.
Work item type option
Description
Bugs
Load current or historical state of Bugs only
Requirement Backlog
Load current or historical state of Stories, Backlog Items, or Requirements
Tasks
Load current or historical state of Tasks
Work Items
Load current or historical state of all work items
Historical option
Description
Today
Loads only the most recent revision for each work item
Last 30 days
Loads work item history for the last 30 days, on a daily interval
Last 26 weeks
Loads work item history for the last 26 weeks, on a weekly interval
All history by month
Loads all work item history, on a monthly interval
When a default view doesn't meet your needs
The default Analytics views return all the specified data in a project. They work well for customers with smaller datasets. For larger datasets, the amount of data generated by a default view might be too large for Power BI to load.
In these cases, you can create a custom Analytics view to fine-tune the records, fields, and history loaded into Power BI.
Custom Analytics views
If the default Analytics views don't meet your needs, you can create custom views to fine-tune the records, fields, and history returned to Power BI. With a custom view, you can define the following options:
Two fields that are reported on are only available from Analytics data: Cycle Time Days and Lead Time Days. For more information about how these days are calculated, see Lead time versus cycle time.
For more information on how the dataset is modeled when you use the Power BI Data Connector, see Analytics views dataset design.
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