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⇱ Create Reports from Jira Data in Looker Studio

Create Reports from Jira Data in Looker Studio

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to gain access to live Jira data and create custom reports in Looker Studio.

Looker Studio, formerly known as Google Data Studio, empowers users to craft customized reports featuring data visualizations that can be shared with clients while reflecting your brand identity. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to Jira data to create visualizations, dashboards, and more. This article provides step-by-step instructions on establishing a virtual database for Jira and generating reports from Jira data within Looker Studio.

CData Connect AI offers a seamless cloud-to-cloud interface tailored for Jira, making it straightforward to construct reports directly from live Jira data within Looker Studio without the need for data replication. As you create visualizations, Looker Studio generates queries to retrieve data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported query operations, including filters, JOINs, and more, directly to Jira. This leverages server-side processing to swiftly provide the requested Jira data.

About Jira Data Integration

CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:

  • Gain bi-directional access to their Jira objects like issues, projects, and workflows.
  • Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
  • Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.

Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.

Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.


Getting Started


This article requires a CData Connect AI instance and the CData Connect AI Connector for Looker Studio. Get more information on the CData Connect AI and sign up for a free trial at https://www.cdata.com/cloud.


Configure Jira Connectivity for Looker Studio

Connectivity to Jira from Looker Studio is made possible through CData Connect AI. To work with Jira data from Looker Studio, we start by creating and configuring a Jira connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Jira" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Jira.

    To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Jira Connection page and update the User-based permissions. 👁 Updating permissions

With the connection configured, you are ready to connect to Jira data from Looker Studio.

Visualize Live Jira Data from Looker Studio

The steps below outline connecting to CData Connect AI from Looker Studio to create a new Jira data source and build a simple visualization from the data.

  1. Log into Looker Studio, click data sources, create a new data source, and choose CData Connect AI Connector.
    2. 👁 Create a new connection in Looker Studio
  2. Click Authorize and allow access to your Google account. 👁 Granting permissions to the Connector
  3. Click Authorize to authenticate with your CData Connect AI instance 👁 Authenticating with CData Connect AI
  4. In the CData Connect AI Connector in Looker Studio select Connections to import from the dropdown and click Next
    5. 👁 Importing from Connections
  5. Now select a Connection (e.g. JIRA1) and click Next 👁 Selecting a Connection
  6. Select a Table (e.g. Issues) or use a Custom Query and click Connect to continue 👁 Selecting a Table
  7. If needed, modify columns, click Create Report, and add the data source to the report.
    8. 👁 Configuring column definitions
  8. Select a visualization style and add it to the report.
  9. Select Dimensions and Measures to customize your visualization.
    10. 👁 Visualizing Jira data in Looker Studio

Live Access to Jira Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Jira data from your Looker Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Jira data.

Try CData Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.