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Use the CData ODBC Driver for Sage 300 in SAS for Real-Time Reporting and Analytics

Connect to real-time Sage 300 data in SAS for reporting, analytics, and visualizations using the CData ODBC Driver for Sage 300.

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 Sage 300, you gain database-like access to live Sage 300 data from SAS, expanding your reporting and analytics capabilities. This articles walks through creating a library for Sage 300 in SAS and creating a simple report based on real-time Sage 300 data.

The CData ODBC Driver offers unmatched performance for interacting with live Sage 300 data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to Sage 300, the driver pushes supported SQL operations, like filters and aggregations, directly to Sage 300 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 Sage 300 data in SAS.

Connect to Sage 300 as an ODBC Data Source

Information for connecting to Sage 300 follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for Sage 300 must be installed on the machine hosting the SAS System).

Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

  • Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
  • Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
  • Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

Authenticate to Sage 300 using Basic authentication.

Connect Using Basic Authentication

You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

  • Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
  • User: Set this to the username of your account.
  • Password: Set this to the password of your account.

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 Sage 300 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 Sage300 Sys] Driver = CData ODBC Driver for Sage 300 Description = My Description User = SAMPLE Password = password URL = http://127.0.0.1/Sage300WebApi/v1/-/ Company = SAMINC

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

Create a Sage 300 Library in SAS

Connect to Sage 300 in SAS by adding a library based on the CData ODBC Driver for Sage 300.

  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 Sage 300 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 Sage 300 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 oeinvoices_view as
      select 
        invoiceuniquifier, 
        approvedlimit 
      from 
        odbclib.oeinvoices 
      where 
        AllowPartialShipments = 'Yes';
    quit;
    
  3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize Sage 300 Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Sage 300 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 Sage 300 OEInvoices data.
    proc print data=oeinvoices;
      title "Sage 300 OEInvoices Data";
    run;
    

Print a Chart

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