Connecting to iSolved
iSolved is a cloud-based Human Capital Management (HCM) software that unites payroll, benefits, learning management, workforce management, talent acquisition, and core human resources activities. It simplifies management tasks and unifies data to reduce errors and increase productivity. You can connect the iSolved to skyData Studio and perform various tasks such as data ingestion, unification, transformation, and enrichment to gain insights from the data. You can use SkyPoint AI’s built-in connector for importing data from iSolved. This document will guide you through the process of connecting iSolved to the skyData.Prerequisite
You will need the following details to configure and import data using the iSolved⇗ connector:- Client Id
- Legal Ids
- Key
- ApiSecret
To import data using the iSolved connector
Follow the below steps to create and configure a new dataflow for the iSolved import connector:- Go to Dataflow > Imports.
- Click New dataflow.

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

Add iSolved connector
- In the Choose connector page, select iSolved connector. You can use the Search feature to find the connector. Also, the iSolved connector can be found under the Services and apps category.

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

Connect to the iSolved account
Log in to your iSolved account using your username and password. If you do not have an account, you can create one by visiting the iSolved⇗ website.- Enter Client Id the unique identifier assigned to your application.
- Enter the Legal Ids to manage data associated with the legal entity, such as payroll, benefits, and other tax and legal-related information.
- Enter the Key to identify and authenticate a user.
- Enter the ApiSecret to authenticate a user or service when making requests to a web service.
- Select the Default Activity Start Date to set the starting date for a new activity.
- Click Connect.

- In the Table details section, click the checkbox for the tables you wish to import, then use the dropdown to mark them as either Data or Metadata.
In the Table Details section, all tables are selected by default. You can select the tables you want to import and process. For example, to import customer data, choose the tables that 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 view the error message related to data import failures from a data source in the Dataflow under Run History > Description. Additionally, you can check the status, start time, and end time for the execution of the data pipeline.

