Connecting to Boulevard
- Import data
- ERD
Overview
Boulevard is an intelligent scheduling solution and comprehensive point of sale system that increases revenue and lowers costs for salons, spas, and other appointment-based businesses. You can use Skypoint AI's built-in connector for importing data from Boulevard. Skypoint AI collects, analyzes, and provides a solution to transform data into meaningful information for generating valuable insights.
Prerequisite
You will need the following details to configure and import data:
- API Key
- API Secret
- URL
- Business Id
Import Data using Boulevard connector
Follow the below steps to create a new dataflow for the Boulevard connector:
- Go to Dataflow > Imports.
- Click New dataflow.
The Set dataflow name page appears:
- In the Set dataflow name page, enter Dataflow name in the Name text area.
- Click Next.
The Choose connector page appears:
To add Boulevard connector
- In the Choose connector page, select Boulevard connector.
You can use the Search feature too to find the connector. Also, the Boulevard connector can be found under Sales categories.
The Set dataflow name page for Boulevard appears:
- Enter the Display Name to identify your Dataflow.
- In the Description box, you can enter an explanation of the connector.
- Click Next.
The Connect to Boulevard page appears:
To configure Boulevard
Follow the below steps to configure the connection to Boulevard:
Enter your credentials such as API Key, API Secret, URL, and Business Id to configure with the Boulevard connector.
Click Connect.
The Table Details columns appear.
- Enter the Table Details to process the data.
Item | Description |
---|---|
Purpose | Option to assign a purpose (Data or Metadata) for each table. |
Data | Loads customer data. |
Metadata | Loads Metadata. |
File Name | Displays the name of the file that you imported. |
Table Name | Displays the imported table name. |
- Click Save.
Run, edit, and delete the imported data
Once you save the connector, the Boulevard connector gets displayed in the list of tables created in the Dataflow page.
Item | Description |
---|---|
Name | Displays the name of the imported Dataflow. |
Type | Displays connector type symbol. |
Status | Indicates whether the data is imported successfully. |
Tables Count | Displays the number of tables. |
Created Date | Displays date of creation. |
Last refresh type | Displays the refresh value. You can see the value is Full or Incremental after the last refresh of data. |
Updated Date | Displays last modified date. |
Last Refresh | Displays the latest refresh date. This date will get updated whenever you refresh the data. |
Group by | Option to view the items in a specific Group (For example, name, type, status). |
- Select the horizontal ellipsis in the Actions column and do the following:
If you want to | Then |
---|---|
Modify the Dataflow | Select Edit and modify the Dataflow. Click Save to apply your changes. |
Execute the Dataflow | Select Run. |
Bring the data to its previous state | Select Rollback. |
Delete the Dataflow | Select Remove and then click the Delete button. All tables in the data source get deleted. |
See the run history of the Dataflow | Select Run history. |
Next step
After completing the data import, start the Master Data Management (MDM) - Stitch process to develop a unified view of your customers.