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How to Connect Azure DevOps to Power BI (2026 Step-by-Step Beginner Tutorial)
🔗 Bring Your Project and Engineering Data Into Powerful Business Intelligence Reports — Here's How to Connect Azure DevOps to Power BI (2026 Step-by-Step Beginner Tutorial)
Stop relying on static Azure DevOps boards and built-in dashboards alone when connecting your project data directly to Power BI gives you far more powerful reporting, cross-project analysis, and the ability to combine your engineering metrics with other business data for a truly comprehensive view of how your team and projects are performing. In this complete 2026 beginner tutorial, you'll learn exactly how to connect Azure DevOps to Power BI — so you can pull your work items, sprints, pull requests, build pipelines, and team velocity data directly into Power BI, build custom reports that go far beyond what Azure DevOps dashboards offer natively, and give your engineering leaders and stakeholders the exact visibility they need into project health and delivery performance.
Whether you're an engineering manager who wants to build a custom sprint velocity and burndown report that combines data from multiple Azure DevOps projects into a single unified view, a project manager who needs to report on team capacity, work item aging, and delivery trends alongside other business metrics in a consolidated Power BI dashboard, or a BI developer setting up a scalable connection between your organization's Azure DevOps instance and your broader Power BI reporting environment, knowing how to correctly connect Azure DevOps to Power BI is a valuable integration skill for any team that wants deeper and more flexible visibility into their software delivery process. In this step-by-step walkthrough, we'll show you how to use the OData feed connector in Power BI Desktop to connect to your Azure DevOps Analytics views, authenticate using your Azure Active Directory credentials, select the specific entities including work items, iterations, and pull requests that you want to import, and load your Azure DevOps data into the Power BI data model ready for building custom reports and visuals.
We'll also cover how to use the Azure DevOps Analytics OData metadata to understand the available data fields and relationships before building your queries, how to filter your OData connection to pull only the specific projects, teams, or date ranges you need rather than your entire organization's data, how to set up scheduled refresh in the Power BI service to keep your Azure DevOps reporting current automatically, and best practices for structuring your Power BI data model when combining Azure DevOps data with other business data sources for cross-functional reporting. Whether you're connecting Azure DevOps to Power BI for the first time or optimizing an existing connection for better performance and broader reporting capability, this tutorial gives you a complete and practical guide from initial connection to finished custom report.
✅ What You'll Learn:
- How to use the OData feed connector in Power BI Desktop to connect to Azure DevOps Analytics
- Authenticating with Azure Active Directory credentials for your Azure DevOps connection
- Selecting and importing work items, iterations, and pull request data into Power BI
- Filtering your OData connection to target specific projects, teams, or date ranges
- Setting up scheduled refresh in the Power BI service for Azure DevOps reporting
👍 LIKE this video if it saved you time
🔔 SUBSCRIBE for weekly Power BI tips, data visualization guides, and business intelligence tutorials
#PowerBI #PowerBITutorial #AzureDevOpsIntegration #DataVisualization #PowerBI2026
Видео How to Connect Azure DevOps to Power BI (2026 Step-by-Step Beginner Tutorial) канала Adam Tutorials
Stop relying on static Azure DevOps boards and built-in dashboards alone when connecting your project data directly to Power BI gives you far more powerful reporting, cross-project analysis, and the ability to combine your engineering metrics with other business data for a truly comprehensive view of how your team and projects are performing. In this complete 2026 beginner tutorial, you'll learn exactly how to connect Azure DevOps to Power BI — so you can pull your work items, sprints, pull requests, build pipelines, and team velocity data directly into Power BI, build custom reports that go far beyond what Azure DevOps dashboards offer natively, and give your engineering leaders and stakeholders the exact visibility they need into project health and delivery performance.
Whether you're an engineering manager who wants to build a custom sprint velocity and burndown report that combines data from multiple Azure DevOps projects into a single unified view, a project manager who needs to report on team capacity, work item aging, and delivery trends alongside other business metrics in a consolidated Power BI dashboard, or a BI developer setting up a scalable connection between your organization's Azure DevOps instance and your broader Power BI reporting environment, knowing how to correctly connect Azure DevOps to Power BI is a valuable integration skill for any team that wants deeper and more flexible visibility into their software delivery process. In this step-by-step walkthrough, we'll show you how to use the OData feed connector in Power BI Desktop to connect to your Azure DevOps Analytics views, authenticate using your Azure Active Directory credentials, select the specific entities including work items, iterations, and pull requests that you want to import, and load your Azure DevOps data into the Power BI data model ready for building custom reports and visuals.
We'll also cover how to use the Azure DevOps Analytics OData metadata to understand the available data fields and relationships before building your queries, how to filter your OData connection to pull only the specific projects, teams, or date ranges you need rather than your entire organization's data, how to set up scheduled refresh in the Power BI service to keep your Azure DevOps reporting current automatically, and best practices for structuring your Power BI data model when combining Azure DevOps data with other business data sources for cross-functional reporting. Whether you're connecting Azure DevOps to Power BI for the first time or optimizing an existing connection for better performance and broader reporting capability, this tutorial gives you a complete and practical guide from initial connection to finished custom report.
✅ What You'll Learn:
- How to use the OData feed connector in Power BI Desktop to connect to Azure DevOps Analytics
- Authenticating with Azure Active Directory credentials for your Azure DevOps connection
- Selecting and importing work items, iterations, and pull request data into Power BI
- Filtering your OData connection to target specific projects, teams, or date ranges
- Setting up scheduled refresh in the Power BI service for Azure DevOps reporting
👍 LIKE this video if it saved you time
🔔 SUBSCRIBE for weekly Power BI tips, data visualization guides, and business intelligence tutorials
#PowerBI #PowerBITutorial #AzureDevOpsIntegration #DataVisualization #PowerBI2026
Видео How to Connect Azure DevOps to Power BI (2026 Step-by-Step Beginner Tutorial) канала Adam Tutorials
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17 июня 2026 г. 9:08:30
00:02:22
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