Connecting to MRINexcore
This guide provides a step-by-step approach to effortlessly connecting MRINexcore with skyData. MRINexCore is a platform by MRI Software designed for managing real estate operations, including lease administration, accounting, and property management. It provides flexible tools for handling complex portfolios and supports integration with other systems to streamline workflows and enhance data-driven decision-making. The MRINexCore connector in skyData enables seamless integration with MRI Software’s NexCore platform, commonly used in property and real estate management. It allows organizations to efficiently ingest and sync data from NexCore using secure methods like APIs. With support for service account credentials, automated scheduling, and data transformation, the connector streamlines data integration into Skypoint’s unified models for enhanced analytics and AI applications.Prerequisite
You need the following details to configure and import data using the MRINexcore⇗ connector:- Username
- Display name
- Password
- Default Activity Start Date
To import data using the MRINexcore connector
Follow the below steps to create and configure a new dataflow for the MRINexcore 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 MRINexcore connector
- On the Choose Connector page, use the Search feature to locate and select the MRINexcore 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 MRINexcore 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.

