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Sage 50 UK Icon Sage UK ODBC Driver

The Sage 50 UK ODBC Driver is a powerful tool that allows you to connect with live data from Sage 50 UK, directly from any applications that support ODBC connectivity.

Access Sage data like you would a database - read, write, and update Sage Customers, Transactions, Invoices, Sales Receipts, etc. through a standard ODBC Driver interface.

Use the CData ODBC Driver for Sage 50 UK in SAS JMP



You can use the CData ODBC Driver to integrate Sage 50 UK data into the statistical analysis tools available in SAS JMP. This article shows how to use Sage 50 UK data in the Graph Builder and Query Builder.

You can use the CData ODBC Driver for Sage 50 UK to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the Sage 50 UK API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports.

The Sage 50 UK API supports bidirectional access. This article shows how to access Sage 50 UK data into a report and create data visualization. It also shows how to use SQL to query and manipulate Sage 50 UK data from the JMP Query Builder.

Access Sage 50 UK Data as an ODBC Data Source

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.

Note: Only Sage 50 UK 2012 and above are supported.

The User and Password properties, under the Connection section, must be set to valid Sage 50 UK user credentials. These values will be the same used to log in to the Sage 50 UK software.

Additionally, the URL property, under the Connection section, will need to be set to the address of the company dataset desired. To obtain the address, do the following:

  1. If you have not already done so, open the Sage 50 UK software.
  2. Click Tools -> Internet Options.
  3. Select the SData Settings tab.
  4. Click the Details button next to Sage 50 Accounts. A window is displayed containing a list of company names along with the address to their corresponding datasets.
  5. Set the URL property to the value in the address field next to the company desired.

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.

Import Sage 50 UK Data with the Query Builder

After you have created the Sage 50 UK DSN, you can use SQL to invoke the capabilities of the Sage 50 UK API. Follow the steps below to execute some supported queries in the Query Builder:

  1. In SAS JMP, click File -> Database -> Query Builder. The Select Database Connection dialog is displayed.
  2. Click New Connection.
  3. On the Machine Data Source tab, select the DSN. In the next step, the Select Tables for Query dialog is displayed.
  4. In the Available Tables section, select a table and click Primary.
  5. As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated.
  6. Click Run Query to display the data.
  7. To refresh the results with the current data, right-click Update from Database and click Run Script.

Manipulate Sage 50 UK Data

You can execute data manipulation queries from JSL scripts such as the one below. To execute a script, click New Script in the toolbar. To connect, specify the DSN. You can then use the standard SQL syntax:

Open Database( "DSN=CData Sage50UK Source;", "INSERT INTO TradingAccounts (TradingAccountUUID) VALUES ('c2ef66a5-a545-413b-9312-79a53caadbc4');");

Visualize Sage 50 UK Data

After importing, you can use the Graph Builder to create graphs visually. To open the Graph Builder, click the Graph Builder button in the toolbar.

  1. Drag a dimension column onto the x axis. For example, Name.
  2. Drag a measure column onto the y axis. For example, FinanceBalance.
  3. Select a chart type. For example, a bar chart.