Build Dashboards with Postmark Data in Dundas BI

The CData ODBC Driver for Postmark enables access to live data from Postmark under the ODBC standard, allowing you work with Postmark data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to Postmark data as a generic ODBC Data Provider and create charts, reports, and dashboards based on Postmark data in Dundas BI.

Connect to Postmark Data

1. If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
   
   

   Using API Key Authentication

   Postmark uses server API tokens to authenticate requests. Each Postmark server has its own API token, which controls access to messages, bounces, templates, and statistics associated with that server.

   To obtain your Server API Token, log in to your Postmark account and navigate to the server you want to connect to. Go to API Tokens under the server settings and copy the token labeled Server API token.

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

   • AuthScheme: Set this to APIKey.
   • APIKey: Set this to your Postmark Server API Token. This value is sent as the X-Postmark-Server-Token header on every request.

   Example connection string:

   Profile=C:\profiles\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"
   

   Connecting to Postmark

   Once the authentication is configured, you can connect to Postmark and query data from any of the available tables such as OutboundMessages, Bounces, and Templates.

   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.

2. Open the Dundas BI interface, open the menu, and click New Data Connector. 👁 Adding a New Data Connector.
   
3. Configure the Dundas BI Data Connector:
   • Name the Data Connector.
   • Select "ODBC generic" as the Data Provider.
   • Check the "Use System DSN" checkbox.
   • Select the appropriate System DSN.
   👁 Configure the Data Connector.
   

Add Postmark Data to a Dashboard

You are now ready to create a dashboard with Postmark data.

1. Navigate to the Home page.
2. Click Explore Data.
👁 Home > Explore Data

3. Expand the appropriate Data Connector.
4. Drag the relevant data from the Connector to the panel.
   • You can select an entire "table" to add, but you may need to remove Measures/Rows from the Metric Set to build an appropriate visualization. Alternatively, you can select only the fields you wish to include in the visualization.
   • With the fields selected, you can add any filters or conditions on the Measures and Rows, further customizing the visualization.
👁 Adding data from a Data Connector. (Salesforce is shown.)

5. Click Re-visualize from the menu bar and select the appropriate visualization for the data.
👁 Displayed Data. (Salesforce is shown.)

6. Click Add To New Dashboard to add the visualization to a new dashboard.
👁 Adding the Visualization to a Dashboard. (Salesforce is shown.)

7. Configure the dashboard, creating dynamic visualizations of Postmark data. 👁 Sample Dashboard (Salesforce data is shown.)