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⇱ Analyze Jira Service Management Data in Cognos Analytics


Analyze Jira Service Management Data in Cognos Analytics

👁 Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI to connect to Jira Service Management Data from Cognos Analytics and analyze live Jira Service Management data.

Cognos Analytics, powered by IBM Watson®, empowers users to cleanse and establish connections with their data while creating visualizations. When integrated with CData Connect AI, users gain immediate, real-time connectivity between cloud-based data sources and Cognos Analytics, facilitating data management, visualization, analytics, and more. This article provides step-by-step guidance on connecting to Jira Service Management via CData Connect AI and subsequently analyzing Jira Service Management data within Cognos Analytics.

NOTE: These instructions require Cognos Analytics 11.2.4 or higher

CData Connect AI offers a dedicated cloud-to-cloud interface for Jira Service Management, enabling users to perform real-time analysis on Jira Service Management data within Cognos without the need to replicate data to a natively supported database. Equipped with built-in optimized data processing capabilities, CData Connect AI efficiently directs all supported SQL operations, including filters and JOINs, directly to Jira Service Management. This harnesses server-side processing to promptly provide the requested Jira Service Management data.

Configure Jira Service Management Connectivity for Cognos Analytics

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

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

    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, 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.

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

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Jira Service Management data from Cognos Analytics.

Connect to Jira Service Management from Cognos Analytics

The steps below outline connecting to CData Connect AI from Cognos Analytics to analyze live Jira Service Management data.

Download and install the CData Connect AI JDBC driver

  1. Open the Integrations page of CData Connect AI.
  2. Search for and select JDBC.
  3. Download and run the setup file.
  4. When the installation is complete, copy the JAR file (cdata.jdbc.connect.jar) from the installation directory (e.g., C:\Program Files\CData\JDBC Driver for CData Connect\lib) to the "drivers" folder in your Cognos Analytics installation directory.

Configure the Connection to CData Connect AI

  1. Open IBM Cognos and navigate to Manage > Data server connections.
  2. Click the icon to add a data server.
  3. Select CData Connect AI.
  4. Set JDBC URL to the appropriate connection string. For example:
     jdbc:connect:AuthScheme=Basic;user=username;password=PAT;
     
  5. Set Driver class name to "cdata.jdbc.connect.ConnectDriver"
  6. Create and store authenticate credentials by selecting an authentication method
    • Set Username to your CData Connect AI username (e.g., [email protected])
    • Set Password to the PAT you previously generated.
  7. Click Test connection to confirm that the connection succeeds. 👁 Connecting to CData Connect AI from Cognos Analytics

At this point, you are ready to analyze and visualize Jira Service Management data in Cognos Analytics. For more information about using Cognos Analytics, please refer to the Cognos Analytics documentation.

Live Access to Jira Service Management Data for Analytics

Now you have a direct, cloud-to-cloud connection to live Jira Service Management data from Cognos Analytics. You can create new visualizations, build reports, and more — without replicating Jira Service Management 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.