Create Reports from Paylocity Data in Google Data Studio

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CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for Paylocity data and create custom reports in Google Data Studio.

Google Data Studio allows you to create branded reports with data visualizations to share with your clients. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to Paylocity data for visualizations, dashboards, and more. This article shows how to create a virtual database for Paylocity and build reports from Paylocity data in Google Data Studio.

CData Connect Cloud provides a pure cloud-to-cloud interface for Paylocity, allowing you to easily build reports from live Paylocity data in Google Data Studio — without replicating the data. As you build visualizations, Google Data Studio generates queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported query operations (filters, JOINs, etc) directly to Paylocity, leveraging server-side processing to quickly return Paylocity data.

This article requires a CData Connect Cloud instance and the CData Connect Cloud Connector for Google Data Studio. Get more information on the CData Connect Cloud and sign up for a free trial at https://www.cdata.com/connect.


Connect to Paylocity from Connect Cloud

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Log into Connect Cloud and click Databases.
  2. Select "Paylocity" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Paylocity.

    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.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Paylocity data from Google Data Studio.

Visualize Live Paylocity Data in Google Data Studio

The steps below outline connecting to CData Connect Cloud from Google Data Studio to create a new Paylocity data source and build a simple visualization from the data.

  1. Log into Google Data Studio, click data sources, create a new data source, and choose CData Connect Cloud Connector.
  2. Authorize the Connector to connect to an external service (your Connect Cloud instance).
  3. Use your instance name (myinstance in myinstance.cdatacloud.net), username, and password to connect to your Connect Cloud instance.
    • Username: myinstance/username
    • Password: your Connect Cloud password
  4. Select a Database (e.g. Paylocity1) and click Next.
  5. Select a Table (e.g. Employee) and click Next.
  6. Click Connect.
  7. If needed, modify columns, click Create Report, and add the data source to the report.
  8. Select a visualization style and add it to the report.
  9. Select Dimensions and Measures to customize your visualization.

Optional: Connect with the MySQL Connector

If you need to work with data from a custom SQL query, you can use the MySQL Connector. Connect using the server information for your Connect Cloud instance (server address, port, username, and password).

SQL Access to Paylocity Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Paylocity data from your Google Data Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Paylocity data.

Try CData Connect Cloud and get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.