Visualize QuickBooks Data in TIBCO Spotfire through OData



Integrate QuickBooks data into dashboards in TIBCO Spotfire.

OData is a major protocol enabling real-time communication among cloud-based, mobile, and other online applications. The CData API Server, when paired with the ADO.NET Provider for QuickBooks, provides QuickBooks data (or data from 200+ other ADO.NET Providers) to OData consumers like TIBCO Spotfire. This article shows how to use the API Server and Spotfire's built-in support for OData to access QuickBooks data in real time.

About QuickBooks Data Integration

CData simplifies access and integration of live QuickBooks data. Our customers leverage CData connectivity to:

  • Access both local and remote company files.
  • Connect across editions and regions: QuickBooks Premier, Professional, Enterprise, and Simple Start edition 2002+, as well as Canada, New Zealand, Australia, and UK editions from 2003+.
  • Use SQL stored procedures to perform actions like voiding or clearing transactions, merging lists, searching entities, and more.

Customers regularly integrate their QuickBooks data with preferred tools, like Power BI, Tableau, or Excel, and integrate QuickBooks data into their database or data warehouse.


Getting Started


Set Up the API Server

Follow the steps below to begin producing secure QuickBooks OData services:

Deploy

The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.

The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.

Connect to QuickBooks

After you deploy the API Server and the ADO.NET Provider for QuickBooks, provide authentication values and other connection properties needed to connect to QuickBooks by clicking Settings -> Connections and adding a new connection in the API Server administration console.

When you are connecting to a local QuickBooks instance, you do not need to set any connection properties.

Requests are made to QuickBooks through the Remote Connector. The Remote Connector runs on the same machine as QuickBooks and accepts connections through a lightweight, embedded Web server. The server supports SSL/TLS, enabling users to connect securely from remote machines.

The first time you connect, authorize the Remote Connector with QuickBooks. See the "Getting Started" chapter of the help documentation for a guide.

When you configure the connection, 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.

You can then choose the QuickBooks entities you want to allow the API Server access to by clicking Settings -> Resources.

Authorize API Server Users

After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.

Create Data Visualizations on External QuickBooks Data

  1. Open Spotfire and click Add Data Tables -> OData.
  2. In the OData Connection dialog, enter the following information:
    • Service URL: Enter the API Server's OData endpoint. For example: http://localhost:8032/api.rsc
    • Authentication Method: Select Username and Password.
    • Username: Enter the username of an API Server user. You can create API users on the Security tab of the administration console.
    • Password: Enter the authtoken of an API Server user.
  3. Select the tables and columns you want to add to the dashboard. This example uses Customers.
  4. If you want to work with the live data, click the Keep Data Table External option. This option enables your dashboards to reflect changes to the data in real time.

    If you want to load the data into memory and process the data locally, click the Import Data Table option. This option is better for offline use or if a slow network connection is making your dashboard less interactive.

  5. After adding tables, the Recommended Visualizations wizard is displayed. When you select a table, Spotfire uses the column data types to detect number, time, and category columns. This example uses CustomerBalance in the Numbers section and Name in the Categories section.

After adding several visualizations in the Recommended Visualizations wizard, you can make other modifications to the dashboard. For example, you can apply a filter: After clicking the Filter button, the available filters for each query are displayed in the Filters pane.

Ready to get started?

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CData API Server