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

Ready to get started?

Download for a free trial:

Download Now

Learn more:

Wave Financial ODBC Driver

The Wave Financial ODBC Driver is a powerful tool that allows you to connect with live data from Wave Financial, directly from any applications that support ODBC connectivity.

Access Wave Financial data like you would a database - read, write, and update Wave Financial Accounts, Customers, Products, etc. through a standard ODBC Driver interface.



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

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

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

Connect to Wave Financial as an ODBC Data Source

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

Connect using the API Token

You can connect to Wave Financial by specifying the APIToken You can obtain an API Token using the following steps:

  1. Log in to your Wave account and navigate to "Manage Applications" in the left pane.
  2. Select the application that you would like to create a token for. You may need to create an application first.
  3. Click the "Create token" button to generate an APIToken.

Connect using OAuth

If you wish, you can connect using the embedded OAuth credentials. See the Help documentation for more information.

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 Wave Financial 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 WaveFinancial Sys] Driver = CData ODBC Driver for Wave Financial Description = My Description

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

Create a Wave Financial Library in SAS

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

  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 Wave Financial 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 Wave Financial 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 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 Wave Financial Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Wave Financial 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 Wave Financial Invoices data.
    proc print data=invoices;
      title "Wave Financial Invoices Data";
    run;
    

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;