Visualize Paylocity Data in TIBCO Spotfire through ADO.NET

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Paylocity ADO.NET Provider

Rapidly create and deploy powerful .NET applications that integrate with Paylocity.



Integrate Paylocity data into dashboards in TIBCO Spotfire.

This article walks you through using the CData ADO.NET Provider for Paylocity in TIBCO Spotfire. You will establish a connection and create a simple dashboard.

  1. Add the CData ADO.NET data source by clicking Add Data Tables.
  2. Click Add -> Database.
  3. Select the provider and click Configure.
  4. Define the connection settings. Below is a typical connection string:

    OAuthClientID=YourClientId;OAuthClientSecret=YourClientSecret;RSAPublicKey=YourRSAPubKey;Key=YourKey;IV=YourIV;InitiateOAuth=GETANDREFRESH

    Set the following to establish a connection to Paylocity:

    • RSAPublicKey: Set this to the RSA Key associated with your Paylocity, if the RSA Encryption is enabled in the Paylocity account.

      This property is required for executing Insert and Update statements, and it is not required if the feature is disabled.

    • UseSandbox: Set to true if you are using sandbox account.
    • CustomFieldsCategory: Set this to the Customfields category. This is required when IncludeCustomFields is set to true. The default value for this property is PayrollAndHR.
    • Key: The AES symmetric key(base 64 encoded) encrypted with the Paylocity Public Key. It is the key used to encrypt the content.

      Paylocity will decrypt the AES key using RSA decryption.
      It is an optional property if the IV value not provided, The driver will generate a key internally.

    • IV: The AES IV (base 64 encoded) used when encrypting the content. It is an optional property if the Key value not provided, The driver will generate an IV internally.

    Connect Using OAuth Authentication

    You must use OAuth to authenticate with Paylocity. OAuth requires the authenticating user to interact with Paylocity using the browser. For more information, refer to the OAuth section in the Help documentation.

    The Pay Entry API

    The Pay Entry API is completely separate from the rest of the Paylocity API. It uses a separate Client ID and Secret, and must be explicitly requested from Paylocity for access to be granted for an account. The Pay Entry API allows you to automatically submit payroll information for individual employees, and little else. Due to the extremely limited nature of what is offered by the Pay Entry API, we have elected not to give it a separate schema, but it may be enabled via the UsePayEntryAPI connection property.

    Please be aware that when setting UsePayEntryAPI to true, you may only use the CreatePayEntryImportBatch & MergePayEntryImportBatchgtable stored procedures, the InputTimeEntry table, and the OAuth stored procedures. Attempts to use other features of the product will result in an error. You must also store your OAuthAccessToken separately, which often means setting a different OAuthSettingsLocation when using this connection property.

    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.

  5. Select the tables that you want to add to the dashboard. This example uses Employee. You can also specify an SQL query. The driver supports the standard SQL syntax.
  6. 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.

  7. 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 LastName in the Numbers section and FirstName 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.