| Note |
|---|
Ensure you have already created a Data Source and successfully saved and validated your Jira API Token before you start exporting data to Looker Studio. These preliminary steps are crucial for a smooth and successful data export process. |
...
To export your Jira data to
...
Looker Studio, follow these steps:
Inside the Data Processor for Jira appSelect the ‘Data Sources’ section in the left-side menu, and then choose ‘Looker Studio’ from the list.
or
On the Home page of the main interface, click the 'Looker Studio' icon.
Find the specific Data Source you wish to export from the displayed list. Hover your cursor over the empty field where the link will appear, then click on the ‘Link’ button. You will be redirected directly to Looker Studio.
At this stage, you have also the option to edit or delete the Data Source by clicking on the three-line button.
In Looker Studio, make sure you're logged into your Google account. If you're not, you'll need to log in first. Once you're logged in, enter the email associated with your Jira Cloud instance as the Username, and use your Jira API Token as the Password (for instructions on how to obtain API token, see this page). Click 'Submit'.
In the next window, you will see the Data source identifier, which should match the one in the Data Processor plugin. Then, in the drop-down list under the Table section, choose one of the tables you selected to export within the plugin. Click 'Connect'.
After a short export period, you will see all the fields you selected for export from Jira. You are now ready to CREATE REPORT or EXPLORE the data. By default, data freshness is set to 12 hours, meaning your data will be refreshed every 12 hours. However, you can also manually refresh it by clicking the appropriate button.
...