Visualize CleverPush Data in TIBCO Spotfire through ODBC

This article walks you through using the CData ODBC Driver for CleverPush in TIBCO Spotfire. You will use the data import wizard to connect to a DSN (data source name) for Salesforce and build on the sample visualizations to create a simple dashboard.

Connect to CleverPush 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 Cleverpush Profile on disk (e.g. C:\profiles\Cleverpush.apip). Next, set the ProfileSettings connection property to the connection string for Cleverpush (see below).

Cleverpush API Profile Settings

CleverPush uses private API keys to authenticate requests. Your API key is passed as the Authorization request header value on every API call.

You can find your private API key in the CleverPush dashboard under Settings > API. Use the private key (not the public key) for server-side access.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your CleverPush private API key.

Optional Connection Properties

• ChannelId: Set this to your default CleverPush channel identifier. Most tables require a channel filter. Setting this property allows queries without specifying ChannelId in every WHERE clause.

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.

Create Visualizations of CleverPush Tables

Follow the steps below to connect to the DSN and create real-time data visualizations:

1. Click Data -> Add Data ...
2. Click Other -> Load data with ODBC, OLE DB, or ADO.NET data provider.
3. In the Data Source Type menu, select ODBC Data Provider and click Configure.
4. Select the DSN.
5. Select the tables that you want to add to the dashboard. This example uses Segments. 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 Name 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 zoom in on high probability opportunities by applying a filter on the page. To add a filter, click the Filter button. The available filters for each query are displayed in the Filters pane.