Connect Jira to BigQuery

Use the Windsor.ai no-code connector to sync Jira with BigQuery and visualize your project management data for actionable insights. This tool requires no maintenance and will extract data from Jira in less than five minutes, enabling you to focus on analyzing and optimizing your project management strategies.

Integrate Jira to BigQuery

Why do I need Jira and BigQuery integration?

Integrating Jira with BigQuery is a simple and practical way of having a dedicated platform for analyzing your project management data. This data integration offers several benefits, including:

Better insights into project performance

Jira provides detailed data on issues, sprints, and team performance across various projects and boards. When you automatically sync this data with BigQuery, you will have a dedicated tool for actively analyzing your project performance. This will help you identify bottlenecks, underlying and emerging trends, and areas that need improvement.

Improved team coordination

If you work with multiple teams or handle several projects, the comprehensive data analysis enabled by connecting Jira to BigQuery will provide detailed insights into team productivity and workflow efficiency. With this information at hand, you will have a valuable performance evaluation tool that eases how you manage resources and allocate tasks across your organization.

Enhanced cross-project analysis

Jira often manages multiple projects across various teams and departments. Equally, project managers use multiple tools to track different aspects of project health. You can integrate all these data sources into BigQuery. This way, you can create unified reports that compare performance across different projects and make data-driven decisions.

Centralized project management analytics

Once you export data from Jira to BigQuery, you create a central platform for your project management analytics. This simplifies how you handle and access your project data by eliminating the need for several data analysis tools or manual processing of raw data. You will also get timely reports on vital performance metrics and instant alerts to sudden changes that impact your project progress, allowing you to make the right call before it is too late.

How to connect Jira to BigQuery

1. Register

You need to select Jira as a Data Source and Grant Access to Windsor.ai.

Jira source

3. Select Destination
Choose BigQuery as the destination.

select bigquery

4. Create a destination task
Click the Add Destination Task Button and fill out the necessary fields.

5. Sync your Data
In the final step, grant access to the user: [email protected]. That’s all!
Once you go through these steps, you will see that the data is automatically populated into your BigQuery account.

*Note: As a connector URL, you can use any URL providing a JSON. Either from the connectors or for example a URL with cached and transformed data.

FAQs

What is Jira?

Jira is a robust work management tool offered by Atlassian for teams that need a central platform for planning, tracking, releasing, and supporting their operations or projects. This tool is versatile and is designed to support agile project management methodologies and workflows for both technical/IT and non-technical teams. Jira is built for issue and bug management and will identify problems that need to be resolved for sustainable project progress.

Jira Connectors

Jira Field Reference

What is BigQuery?

BigQuery is an enterprise data warehouse offered and fully managed by Google. It’s built for large-scale data analytics and comes packed with a range of features to support its functions, including the ability to rapidly process SQL queries, ML capabilities, geospatial analysis, and business intelligence. Its scalability and ease of use make it an ideal tool for processing the large volume of data from Jira.

Connect all your data to BigQuery