Connecting to Sitelligence
This guide provides a step-by-step approach to effortlessly connecting Sitelligence with skyData. Sitelligence connector is an API endpoint designed to integrate Sitelligence’s Resident Portal system with property management platforms. This integration facilitates key functionalities such as maintenance requests, payment processing, and resident communications. Access to the API typically requires authentication, and detailed documentation including capabilities, request/response formats, and integration guidelines is generally provided to authorized partners. The Sitelligence connector in skyData enables seamless integration with Sitelligence’s Resident Portal platform, commonly used in senior living and property management communities. It allows organizations to efficiently ingest and sync data from the Sitelligence system using secure API methods. With support for authentication, automated scheduling, and data transformation, the connector streamlines data integration into Skypoint’s unified models empowering enhanced analytics, resident engagement insights, and AI-driven applications.Prerequisite
You need the following details to configure and import data using the Sitelligence⇗ connector:- API Partner
- API Route
- API ID
- Load Records From (Days)
To import data using the Sitelligence connector
Follow the below steps to create and configure a new dataflow for the Sitelligence import connector:- Navigate to Dataflow > Imports.

- Click New dataflow as indicated by an arrow.

- Enter the desired name for the dataflow in the Name text field.
- Click Next to proceed.

Add Sitelligence connector
- On the Choose Connector page, use the Search feature to locate and select the Sitelligence Connector.
- Enter the Display Name for your dataflow in the provided text field.
- Optionally, add a Description in the designated text area.

- Click Next to proceed.

Connect to the Sitelligence 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.

By default, all tables in the Table Details section are selected. You can choose to import only specific tables that are relevant to your data processing needs. For example, to import customer data, select tables containing details like name, email, address, and contact information.
- 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:
- Click Run to execute the dataflow. Once the execution is successful, the data pipeline status will update to Completed, as illustrated in the figure below.

In the Dataflow’s Run History Description, you can view error messages related to data import failures from a data source. Additionally, you can check the status, start time, and end time of the data pipeline execution.

