Visualize Zenefits Data in Tableau

The CData ODBC Driver for Zenefits enables you to access live Zenefits data in business intelligence tools like Tableau. In this article, you will integrate Zenefits data into a dashboard that reflects changes to Zenefits data in real time.

The CData ODBC drivers offer unmatched performance for interacting with live Zenefits data in Tableau due to optimized data processing built into the driver. When you issue complex SQL queries from Tableau to Zenefits, the driver pushes supported SQL operations, like filters and aggregations, directly to Zenefits 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 Zenefits data using native Tableau data types.

Connect to Zenefits as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Start by setting the Profile connection property to the location of the Zenefits Profile on disk (e.g. C:\profiles\Zenefits.apip). Next, set the ProfileSettings connection property to the connection string for Zenefits (see below).

Zenefits API Profile Settings

In order to authenticate to Zenefits, you'll need to provide your API Key. To create an API Key, from your account head over to Company Overview > Custom Integrations, then besides Rest API Access select Add Token. Set the API Key in the ProfileSettings property to connect.

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.

Add Zenefits Data to a Dashboard

1. Click Connect to Data -> More Servers -> Other Databases (ODBC).
   Select the CData Data Source Name (for example: CData API Source).
2. In the Database menu, select CData.
3. In the Table box, enter a table name or click New Custom SQL to enter an SQL query. This article retrieves the People table.
4. Drag the table onto the join area. At this point, you can include multiple tables, leveraging the built-in SQL engine to process complex data requests.
5. In the Connection menu, select the Live option, so that you skip loading a copy of the data into Tableau and instead work on real-time data. The optimized data processing native to CData ODBC drivers enables unmatched performance in live connectivity.
6. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, depending on the data type. The CData driver discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
7. Drop the Id column in the Dimensions pane onto the dashboard. When you select dimensions, Tableau builds a query to the driver. The results are grouped based on that dimension. In Tableau, the raw query is automatically modified as you select dimensions and measures.

8. Drag the Title column in the Measures field onto the Detail and Color buttons. Tableau executes the following query:

   SELECT Id, SUM(Title) FROM People GROUP BY Id

   When you select a measure, Tableau executes a command to the driver to calculate a summary function, such as SUM, AVG, etc., on the grouped values. The SQL engine (embedded within the driver) is leveraged to process the aggregation of the data, where needed, providing a seamless experience in Tableau, regardless of the data source.

   To change the summary function, open the Title menu and select the summary you want in the Measure command.

9. You can create other charts using dimensions and measures to build SQL queries visually:

With the CData ODBC Driver for Zenefits, you get live connectivity to your Zenefits data, allowing you to build real-time charts, graphs, and more.