Visualize Asana Data in TIBCO Spotfire through ADO.NET

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Asana ADO.NET Provider

Rapidly create and deploy powerful .NET applications that integrate with Asana.



Integrate Asana data into dashboards in TIBCO Spotfire.

This article walks you through using the CData ADO.NET Provider for Asana in TIBCO Spotfire. You will establish a connection and create a simple dashboard.

  1. Add the CData ADO.NET data source by clicking Add Data Tables.
  2. Click Add -> Database.
  3. Select the provider and click Configure.
  4. Define the connection settings. Below is a typical connection string:

    OAuthClientId=YourClientId;OAuthClientSecret=YourClientSecret;CallbackURL='http://localhost:33333';InitiateOAuth=GETANDREFRESH

    You can optionally set the following to refine the data returned from Asana.

    • WorkspaceId: Set this to the globally unique identifier (gid) associated with your Asana Workspace to only return projects from the specified workspace. To get your workspace id, navigate to https://app.asana.com/api/1.0/workspaces while logged into Asana. This displays a JSON object containing your workspace name and Id.
    • ProjectId: Set this to the globally unique identifier (gid) associated with your Asana Project to only return data mapped under the specified project. Project IDs can be found in the URL of your project's Overview page. This will be the numbers directly after /0/.

    Connect Using OAuth Authentication

    You must use OAuth to authenticate with Asana. OAuth requires the authenticating user to interact with Asana using the browser. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

    When you configure the connection, 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.

  5. Select the tables that you want to add to the dashboard. This example uses projects. You can also specify an SQL query. The driver supports the standard SQL syntax.
  6. If you want to work with the live data, click the Keep Data Table External option. This option enables your dashboards to reflect changes to the data in real time.

    If you want to load the data into memory and process the data locally, click the Import Data Table option. This option is better for offline use or if a slow network connection is making your dashboard less interactive.

  7. After adding tables, the Recommended Visualizations wizard is displayed. When you select a table, Spotfire uses the column data types to detect number, time, and category columns. This example uses WorkspaceId in the Numbers section and Id in the Categories section.

After adding several visualizations in the Recommended Visualizations wizard, you can make other modifications to the dashboard. For example, you can apply a filter: After clicking the Filter button, the available filters for each query are displayed in the Filters pane.