Microsoft Power BI by Microsoft
Microsoft Power BI helps teams in data analysis software by giving them one practical place to keep work moving. It is most useful when ownership, handoffs, and deadlines are alrea...
Power BI Connector for Jira software reviews, alternatives, pricing, & feature 2026
Power BI Connector for Jira is a dedicated integration tool that bridges Atlassian Jira, the popular project and issue tracking software, with Microsoft Power BI, the leading business analytics service. It allows users to seamlessly export their Jira data—including issues, workflows, sprints, and time tracking—into Power BI. Once imported, this data can be used to build rich, interactive dashboards and reports, providing deep insights into project performance, team productivity, bug resolution times, and other critical metrics derived directly from Jira. This connector is essential for Jira administrators, project managers, Scrum masters, and business analysts in organizations that use Jira for project management and Power BI for enterprise reporting...
This connector is essential for Jira administrators, project managers, Scrum masters, and business analysts in organizations that use Jira for project management and Power BI for enterprise reporting. It is for teams that need to elevate their Jira data analysis beyond built-in reports to advanced, customizable visualizations and enterprise-grade analytics.
This connector is a highly effective and specialized tool that fills a clear need. It successfully unlocks the analytical power of Power BI for Jira data, making it indispensable for organizations wanting to perform sophisticated analysis and reporting on their project management activities.
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This connector is essential for Jira administrators, project managers, Scrum masters, and business analysts in organizations that use Jira for project management and Power BI for enterprise reporting. It is for teams that need to elevate their Jira data analysis beyond built-in reports to advanced, customizable visualizations and enterprise-grade analytics.
These are common features buyers compare in Data Analysis Software. Product-specific availability should be confirmed with the vendor.
Create visual dashboards that surface the metrics your team checks repeatedly.
Connect to multiple data stores so analysis uses a more complete business picture.
Discover, connect, and validate data streams before analysis work starts.
Convert complex datasets into clear charts and tables for faster interpretation.
Ask questions in plain language and return results without deep query-writing.
Use historical patterns to estimate possible future scenarios and risks.
Build custom data operations such as extraction, transformation, and comparison tasks.
Generate reusable reports that can be shared across teams with clear update visibility.
Prepare and clean data independently so teams are not blocked on every report request.
Enable business users to produce their own analysis outputs without depending on IT for every query.
Package analytical findings in a simple narrative flow that non-technical stakeholders can act on.
Pricing model: Per User
Pricing can change. Confirm current plans and terms with the vendor.
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