Visualize Jira Service Desk Data in Tableau

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Jira Service Desk ODBC Driver

The Jira Service Desk ODBC Driver is a powerful tool that allows you to connect with live data from Jira Service Desk, directly from any applications that support ODBC connectivity.

Access Jira Service Desk data like you would a database - read, write, and update Jira Service Desk Customers, Organizations, Requests, etc. through a standard ODBC Driver interface.



The CData ODBC driver for Jira Service Desk enables you integrate Jira Service Desk data into Tableau dashboards.

The CData ODBC Driver for Jira Service Desk enables you to access live Jira Service Desk data in business intelligence tools like Tableau. In this article, you will integrate Jira Service Desk data into a dashboard that reflects changes to Jira Service Desk data in real time.

The CData ODBC drivers offer unmatched performance for interacting with live Jira Service Desk data in Tableau due to optimized data processing built into the driver. When you issue complex SQL queries from Tableau to Jira Service Desk, the driver pushes supported SQL operations, like filters and aggregations, directly to Jira Service Desk and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Jira Service Desk data using native Tableau data types.

Connect to Jira Service Desk as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

You can establish a connection to any Jira Service Desk Cloud account or Server instance.

Connecting with a Cloud Account

To connect to a Cloud account, you'll first need to retrieve an APIToken. To generate one, log in to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.

Supply the following to connect to data:

  • User: Set this to the username of the authenticating user.
  • APIToken: Set this to the API token found previously.

Connecting with a Service Account

To authenticate with a service account, you will need to supply the following connection properties:

  • User: Set this to the username of the authenticating user.
  • Password: Set this to the password of the authenticating user.
  • URL: Set this to the URL associated with your JIRA Service Desk endpoint. For example, https://yoursitename.atlassian.net.

Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.

Accessing Custom Fields

By default, the connector only surfaces system fields. To access the custom fields for Issues, set IncludeCustomFields.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Add Jira Service Desk Data to a Dashboard

  1. Click Connect to Data -> More Servers -> Other Databases (ODBC).
    Select the CData Data Source Name (for example: CData JiraServiceDesk Source).
  2. In the Database menu, select CData.
  3. In the Table box, enter a table name or click New Custom SQL to enter an SQL query. This article retrieves the Requests table.
  4. Drag the table onto the join area. At this point, you can include multiple tables, leveraging the built-in SQL engine to process complex data requests.
  5. In the Connection menu, select the Live option, so that you skip loading a copy of the data into Tableau and instead work on real-time data. The optimized data processing native to CData ODBC drivers enables unmatched performance in live connectivity.
  6. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, depending on the data type. The CData driver discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
  7. Drop the RequestId column in the Dimensions pane onto the dashboard. When you select dimensions, Tableau builds a query to the driver. The results are grouped based on that dimension. In Tableau, the raw query is automatically modified as you select dimensions and measures.
  8. Drag the ReporterName column in the Measures field onto the Detail and Color buttons. Tableau executes the following query:

    SELECT RequestId, SUM(ReporterName) FROM Requests GROUP BY RequestId

    When you select a measure, Tableau executes a command to the driver to calculate a summary function, such as SUM, AVG, etc., on the grouped values. The SQL engine (embedded within the driver) is leveraged to process the aggregation of the data, where needed, providing a seamless experience in Tableau, regardless of the data source.

    To change the summary function, open the ReporterName menu and select the summary you want in the Measure command.

  9. You can create other charts using dimensions and measures to build SQL queries visually:

With the CData ODBC Driver for Jira Service Desk, you get live connectivity to your Jira Service Desk data, allowing you to build real-time charts, graphs, and more.