Jira and Microsoft Power BI Integration

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Visualize Jira project data in Microsoft Power BI dashboards, gaining real-time insights without manual exports. Latenode’s visual editor and affordable execution-based pricing simplify complex reporting workflows. Enhance data-driven decisions with ease.

Jira + Microsoft Power BI integration

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Jira

Microsoft Power BI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Jira and Microsoft Power BI

Create a New Scenario to Connect Jira and Microsoft Power BI

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Jira, triggered by another scenario, or executed manually (for testing purposes). In most cases, Jira or Microsoft Power BI will be your first step. To do this, click "Choose an app," find Jira or Microsoft Power BI, and select the appropriate trigger to start the scenario.

Add the Jira Node

Select the Jira node from the app selection panel on the right.

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Configure the Jira

Click on the Jira node to configure it. You can modify the Jira URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Microsoft Power BI Node

Next, click the plus (+) icon on the Jira node, select Microsoft Power BI from the list of available apps, and choose the action you need from the list of nodes within Microsoft Power BI.

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Authenticate Microsoft Power BI

Now, click the Microsoft Power BI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Power BI settings. Authentication allows you to use Microsoft Power BI through Latenode.

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Configure the Jira and Microsoft Power BI Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Jira and Microsoft Power BI Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Jira, Microsoft Power BI, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Jira and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Jira and Microsoft Power BI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Jira and Microsoft Power BI

Jira + Microsoft Power BI + Slack: When a Jira issue is updated, Power BI retrieves data and if critical project delays are detected based on this data, a message is sent to a designated Slack channel to alert project managers.

Microsoft Power BI + Jira + Microsoft Teams: Power BI generates a report, and this report is automatically sent as a message to a dedicated channel in Microsoft Teams whenever a Jira issue is updated, keeping the team informed about project status.

Jira and Microsoft Power BI integration alternatives

About Jira

Sync Jira issues to other tools or trigger actions based on status changes. Automate bug reporting, task assignment, or notifications without code. Latenode lets you visually integrate Jira into complex workflows. Extend functionality with JavaScript and control costs with execution-based pricing, not per-step fees.

About Microsoft Power BI

Use Power BI in Latenode to automate report generation and data analysis. Trigger report refreshes based on real-time events, then use Latenode to share insights across your team via Slack, email, or other apps. Automate your analytics pipeline and react faster, without manual Power BI updates. Latenode adds scheduling and distribution.

See how Latenode works

FAQ Jira and Microsoft Power BI

How can I connect my Jira account to Microsoft Power BI using Latenode?

To connect your Jira account to Microsoft Power BI on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Jira and click on "Connect".
  • Authenticate your Jira and Microsoft Power BI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I visualize Jira issue resolution times in Power BI?

Yes, easily! Latenode's data transformation tools let you extract Jira data, reshape it, and feed it into Power BI for custom dashboards. Gain better insights and improve team efficiency.

What types of tasks can I perform by integrating Jira with Microsoft Power BI?

Integrating Jira with Microsoft Power BI allows you to perform various tasks, including:

  • Generate reports on the number of Jira tickets closed per week.
  • Create dashboards showing the average time to resolve Jira issues.
  • Visualize sprint burndown rates based on Jira data in Power BI.
  • Track the status of Jira projects and display it in real time.
  • Combine Jira data with other data sources for enhanced analysis.

Can I trigger Power BI refreshes automatically from Jira events?

Yes! Latenode's event-driven automation allows real-time Power BI dashboard updates triggered by Jira issue changes, ensuring up-to-date data and insights.

Are there any limitations to the Jira and Microsoft Power BI integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Historical data migration may require custom scripting for complex scenarios.
  • Real-time updates depend on the polling frequency set within the workflow.
  • Extremely large Jira datasets might require optimized queries for performance.

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