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Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData API Driver for Tableau, you can easily get access to live PivotalTracker data within Tableau Prep. This article shows how to connect to PivotalTracker in Tableau Prep and build a simple chart.
The CData Tableau Connectors enable high-speed access to live PivotalTracker data in Tableau. Once you install the connector, you simply authenticate with PivotalTracker and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing PivotalTracker data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to PivotalTracker data.
NOTE: The CData Tableau Connectors support Tableau Prep Builder 2020.4.1 or higher. If you are using an older version of Tableau Prep Builder, you will need to use the CData JDBC Driver.
When you install the CData Tableau Connector for PivotalTracker, the installer should copy the TACO and JAR files to the appropriate directories. If your data source does not appear in the connection steps below, you will need to copy two files:
Open Tableau Prep Builder and click "Connect to Data" and search for "PivotalTracker by CData." Configure the connection and click "Sign In."
Start by setting the Profile connection property to the location of the PivotalTracker Profile on disk (e.g. C:\profiles\PivotalTracker.apip). Next, set the ProfileSettings connection property to the connection string for PivotalTracker (see below).
Navigate to your Pivotal Tracker Profile settings and locate the API token section to copy your unique API token.
π Configuring the Connector (Sage Intacct is shown)Drag the tables and views you wish to work with onto the canvas. You can include multiple tables.
π Selecting table(s)To further prepare the data, you can implement filters, remove duplicates, modify columns and more.
Data joining involves combining data from two or more related tables based on a common field or key.
After you perform any cleansing, filtering, transformations, and joins, you can export the data for visualization in Tableau.
Once the output data is saved, you can work with it in Tableau, just like you would any other file source.
Using the CData API Driver for Tableau with Tableau Prep Builder, you can easily join, cleanse, filter, and aggregate PivotalTracker data for visualizations and reports in Tableau. Download a free, 30-day trial and get started today.
Connect to live data from PivotalTracker with the API Driver
Connect to PivotalTracker