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Use the CData ODBC Driver for MailChimp in SAS for Real-Time Reporting and Analytics

Connect to real-time MailChimp data in SAS for reporting, analytics, and visualizations using the CData ODBC Driver for MailChimp.

SAS is a software suite developed for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. When you pair SAS with the CData ODBC Driver for MailChimp, you gain database-like access to live MailChimp data from SAS, expanding your reporting and analytics capabilities. This articles walks through creating a library for MailChimp in SAS and creating a simple report based on real-time MailChimp data.

The CData ODBC Driver offers unmatched performance for interacting with live MailChimp data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to MailChimp, the driver pushes supported SQL operations, like filters and aggregations, directly to MailChimp 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 easily visualize and analyze MailChimp data in SAS.

Connect to MailChimp as an ODBC Data Source

Information for connecting to MailChimp follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for MailChimp must be installed on the machine hosting the SAS System).

You can set the APIKey to the key you generate in your account settings, or, instead of providing your APIKey, you can use the OAuth standard to authenticate the application. OAuth can be used to enable other users to access their own data. To authenticate using OAuth, you will need to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL by registering an app with MailChimp.

See the "Getting Started" chapter in the help documentation for a guide to using OAuth.

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.

Windows

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.

Linux

If you are installing the CData ODBC Driver for MailChimp in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData MailChimp Sys] Driver = CData ODBC Driver for MailChimp Description = My Description APIKey = myAPIKey

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Create a MailChimp Library in SAS

Connect to MailChimp in SAS by adding a library based on the CData ODBC Driver for MailChimp.

  1. Open SAS and expand Libraries in the Explorer pane.
  2. In the Active Libraries window, right-click and select New.
  3. Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
  4. Set Data Source to the DSN you previously configured and click OK.

Create a View from a MailChimp Query

SAS natively supports querying data either using a low-code, point-and-click Query tool or programmatically with PROC SQL and a custom SQL query. When you create a View in SAS, the defining query is executed each time the view is queried. This means that you always query live MailChimp data for reports, charts, and analytics.

Using the Query Tool

  1. In SAS, click Tools -> Query
  2. Select the table sources and the table(s) you wish to pull data from. Then, click OK.
  3. Select columns and right-click to add filtering, ordering, grouping, etc.
  4. Create a local view to contain the query results by right-clicking the SQL Query Tool window, selecting Show Query, and clicking Create View. Name the View and click OK.

Using PROC SQL

  1. In SAS, navigate to the Editor window.
  2. Use PROC SQL to query the data and create a local view.
    NOTE: This procedure creates a view in the Work library. You can optionally specify a library in the create view statement.
    proc sql;
      create view lists_view as
      select 
        name, 
        stats_avgsubrate 
      from 
        odbclib.lists 
      where 
        Contact_Country = 'US';
    quit;
    
  3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize MailChimp Data in SAS

With a local view created, you can report, visualize, or otherwise analyze MailChimp data using the powerful SAS features. Print a simple report using PROC PRINT and create a basic graph based on the data using PROC GCHART.

Print an HTML Report

  1. In SAS, navigate to the Editor window.
  2. Use PROC PRINT to print an HTML report for the MailChimp Lists data.
    proc print data=lists;
      title "MailChimp Lists Data";
    run;
    

Print a Chart

  1. In SAS, navigate to the Editor window.
  2. Use PROC GCHART to create a chart for the Lists data.
    proc gchart data=lists;
      pie name / sumvar=stats_avgsubrate
          value=arrow
          percent=arrow
          noheading
          percent=inside plabel=(height=12pt)
          slice=inside value=none
          name='ListsChart';
    run;