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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 Superchat data within Tableau Prep. This article shows how to connect to Superchat in Tableau Prep and build a simple chart.
The CData Tableau Connectors enable high-speed access to live Superchat data in Tableau. Once you install the connector, you simply authenticate with Superchat and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Superchat data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to Superchat 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 Superchat, 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 "Superchat by CData." Configure the connection and click "Sign In."
Superchat uses API Key authentication. The API key is passed via the X-API-KEY request header on every call.
To authenticate to Superchat, you need to obtain your API key from the Superchat workspace settings.
You can obtain your API key from Settings > Integrations > API Key in your Superchat workspace.
After setting the following connection properties, you are ready to connect:
Profile=C:\profiles\Superchat.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';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 Superchat data for visualizations and reports in Tableau. Download a free, 30-day trial and get started today.
Connect to live data from Superchat with the API Driver
Connect to Superchat