Prepare, Blend, and Analyze Jira Service Desk Data in Alteryx Designer

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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.



Build workflows to access live Jira Service Desk data for self-service data analytics.

The CData ODBC Driver for Jira Service Desk enables access to live data from Jira Service Desk under the ODBC standard, allowing you work with Jira Service Desk data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to Jira Service Desk data using an ODBC connection in Alteryx Designer to perform self-service BI, data preparation, data blending, and advanced analytics.

The CData ODBC drivers offer unmatched performance for interacting with live Jira Service Desk data in Alteryx Designer due to optimized data processing built into the driver. When you issue complex SQL queries from Alteryx Designer 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 Alteryx data field types.

Connect to Jira Service Desk Data

  1. If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

    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.

  2. Open Alteryx Designer and create a new workflow.
  3. Drag and drop a new input data tool onto the workflow.
  4. Click the new input data tool and under Connect a File or Database, select Database Connection -> New ODBC Connection.
  5. Select the DSN that you configured for use in Alteryx.
  6. In the wizard that opens, select the fields you wish to include in your query. Where possible, the complex queries generated by the filters and aggregations will be pushed down to Jira Service Desk, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.
  7. If you wish to further customize your dataset, you can open the SQL Editor and modify the query manually, adding clauses, aggregations, and other operations to ensure that you are retrieving exactly the Jira Service Desk data you want.

With the query defined, you are ready to work with Jira Service Desk data in Alteryx Designer.

Perform Self-Service Analytics on Jira Service Desk Data

You are now ready to create a workflow to prepare, blend, and analyze Jira Service Desk data. The CData ODBC Driver performs dynamic metadata discovery, presenting data using Alteryx data field types and allowing you to leverage the Designer's tools to manipulate data as needed and build meaningful datasets. In the example below, you will cleanse and browse data.

  1. Add a data cleansing tool to the workflow and check the boxes in Replace Nulls to replace null text fields with blanks and replace null numeric fields with 0. You can also check the box in Remove Unwanted Characters to remove leading and trailing whitespace.
  2. Add a browse data tool to the workflow.
  3. Click to run the workflow (CTRL+R).
  4. Browse your cleansed Jira Service Desk data in the results view.

Thanks to built-in, high-performance data processing, you will be able to quickly cleanse, transform, and/or analyze your Jira Service Desk data with Alteryx.