Create Paylocity-Connected Visualizations in Klipfolio

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CData Connect



Use CData Connect Cloud to connect to Paylocity from Klipfolio and build custom visualizations using live Paylocity data.

Klipfolio is an online dashboard platform for building real-time business dashboards for your team or your clients. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to Paylocity data for visualizations, reports, and more. This article shows how to create a virtual database for Paylocity in Connect Cloud and build visualizations from Paylocity data in Klipfolio.

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

Create a Virtual MySQL Database for Paylocity Data

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 Klipfolio.

Connect to Paylocity in Klipfolio

The steps below outline connecting to CData Connect Cloud from Klipfolio to create a new Paylocity data source.

  1. Open Klipfolio
  2. Click in Data Sources to add a new data source
  3. Search for and select MySQL as the Service
  4. Click "Create a custom MySQL data source"
  5. Configure the data source by setting the MySQL connection properties:
    • Host: your instance (e.g., myinstance.cdatacloud.net)
    • Port: 3306
    • Database: your database (e.g., Paylocity1)
    • Driver: MySQL
    • Username: your CloudHub username
    • Password: your CloudHub password
    • SQL Query: any query to retrieve data (e.g., SELECT * FROM Employee)
    • Select the checkbox to "Include column headers"
    • Select the checkbox to "Use SSL/TLS"
  6. Click "Get data" to preview the Paylocity data before building a data model.

Build a Data Model

After retrieving the data, click the checkbox to "Model your data" and click "Continue." In the new window, configure your data model.

  1. Confirm that the model includes all columns you wish to work with
  2. Name your model
  3. (optional) Set the Description
  4. Set "Header in row" to 1
  5. Click the toggle to "Exclude data before row" and set the value to 2
  6. Click "Save and Exit"

Create a Klip

With the data modeled, we are ready to create a Klip (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

  1. Click "Create a Klip"
  2. Drag in a component
  3. For the Series, select the column whose count or aggregation you wish to visualize
  4. For the X Axis, select the column you wish to group by
  5. In the Properties tab for the X Axis, click the checkbox to "Group repeating labels"
  6. Click "Save"
  7. Set the Name & Description and click Save

SQL Access to Paylocity Data from Cloud Applications

Now you have a Klip built from live Paylocity data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce reports, and more — all without replicating Paylocity data.

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