Use the CData ODBC Driver for Monday.com in SAS for Real-Time Reporting and Analytics

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 Monday.com, you gain database-like access to live Monday.com data from SAS, expanding your reporting and analytics capabilities. This article explains how to create a library for Monday.com in SAS and create a simple report based on real-time Monday.com data.

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

Connect to Monday.com as an ODBC Data Source

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

You can connect to Monday.com using either API Token authentication or OAuth authentication.

Connecting with an API Token

Connect to Monday.com by specifying the APIToken. Set the AuthScheme to Token and obtain the APIToken as follows:

• API tokens for admin users
  1. Log in to your Monday.com account and click on your avatar in the bottom left corner.
  2. Select Admin.
  3. Select "API" on the left side of the Admin page.
  4. Click the "Copy" button to copy the user's API token.
• API tokens for non-admin users
  1. Click on your profile picture in the bottom left of your screen.
  2. Select "Developers"
  3. Click "Developer" and then "My Access Tokens" at the top.
  4. Select "Show" next to the API token, where you'll be able to copy it.

Connecting with OAuth Authentication

Alternatively, you can establish a connection using OAuth (refer to the OAuth section of the Help documentation).

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 Monday.com 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 Monday Sys]
Driver = CData ODBC Driver for Monday.com
Description = My Description
APIToken = eyJhbGciOiJIUzI1NiJ9.yJ0aWQiOjE0MTc4NzIxMiwidWlkIjoyNzI3ODM3OSwiaWFkIjoiMjAyMi0wMS0yMFQxMDo0NjoxMy45NDFaIiwicGV

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

Create a Monday.com Library in SAS

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

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. 👁 Creating a library for Monday.com in SAS.
   

Create a View from a Monday.com 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 Monday.com 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. 👁 Selecting table(s) to visualize.
   
3. Select columns and right-click to add filtering, ordering, grouping, etc. 👁 Selecting columns(s) to visualize and configuring the query.
   
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. 👁 Create a local view to work with Monday.com data.
   

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 invoices_view as
    select 
    id, 
    duedate 
    from 
    odbclib.invoices 
    where 
    Status = 'SENT';
   quit;
   

3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize Monday.com Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Monday.com 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 Monday.com Invoices data.

   proc print data=invoices;
    title "Monday.com Invoices Data";
   run;
   

   👁 A simple Monday.com data report.
   

Print a Chart

1. In SAS, navigate to the Editor window.
2. Use PROC GCHART to create a chart for the Invoices data.

   proc gchart data=invoices;
    pie id / sumvar=duedate
    value=arrow
    percent=arrow
    noheading
    percent=inside plabel=(height=12pt)
    slice=inside value=none
    name='InvoicesChart';
   run;
   

   👁 A simple Monday.com data chart.