Connecting to Dayforce
This guide provides a step-by-step approach to effortlessly connecting Dayforce with skyData. Dayforce Connector integrates Dayforce Global HCM Software with your platform, streamlining HR processes by automating employee data synchronization, ensuring data accuracy, and providing access to advanced analytics for better decision-making. This integration enhances operational efficiency and seamlessly connects your HR systems with other enterprise applications. The Dayforce Connector in skyData enables seamless integration with Dayforce Global HCM Software, commonly used for HR, payroll, time tracking, and talent management. It allows organizations to efficiently ingest and sync employee data using secure APIs, supporting service account credentials, automated scheduling, and data transformation. This connector streamlines data integration into Skypoint’s unified models, enhancing analytics capabilities and AI-driven decision-making.Prerequisite
You will need the following details to configure and import data using Dayforce- Company
- Username
- Password
- Default Activity Start Date
- Reload Records From (Days)
To Import data using Dayforce connector
Follow the below steps to create a new dataflow for the Dayforce import connector:- Go to Dataflow > Imports.

- Click New dataflow.

- Enter Dataflow name in the Name text area.
- Click Next.

Add Dayforce connector
- On the Choose Connector page, use the Search feature to locate and select the Dayforce Connector.

- Enter the Display Name for your dataflow in the text area.
- You can add a Description in the text area.
- Click Next to proceed.

Connect to the Dayforce account
- Fill in the required details on the Configuration page.
- Click Connect.

- Scroll down to the Table Details section, select the checkboxes for the tables you wish to import, and use the dropdown menu to label them as either Data or Metadata.

In the Table Details section, by default, all tables are selected. You can mark only those tables that you want to import and process the data. For example, to import customer data, you can check those tables which contain customer information, such as name, email, address, and contact details.
- Click Save to apply the changes.

Run, edit, and delete the imported data
Once the table is imported, you can execute, modify, and remove the imported table from the Dataflow. Follow the below steps:- Go to the Dataflow > Imports page.

- Select the horizontal ellipsis under the Actions column and do the following:

You can see the error message corresponding to failure while importing data from a data source in the Dataflow under Run History > Description. Also, you can see the status, start time, and end time for the execution of the data pipeline.

