
When this happens...

Automatically do this!
Create an Account
Update Account Information
Delete an Account
Create a Group
Update Group Name
Delete a Group
Update User Profile
Add a Person
Update a Person
Delete a Person
Enable Integrations or automations with these events of Chartbrew and Folderit
Create a new Chartbrew team and set branding, report refresh, and export permissions.
Retrieve details for a specific Chartbrew team using its team ID.
Update a Chartbrew team's name and settings, including branding visibility and report refresh/export permissions.
Create a new Chartbrew project and its initial dashboard in the selected team.
Retrieve all projects for the specified Chartbrew team.
Retrieve a Chartbrew project's details by its project ID within the selected team.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Chartbrew and Folderit accounts to viaSocket. Once connected, you can set up a workflow where an event in Chartbrew triggers actions in Folderit (or vice versa).
Absolutely. You can customize how Chartbrew data is recorded in Folderit. This includes choosing which data fields go into which fields of Folderit, setting up custom formats, and filtering out unwanted information.
The data sync between Chartbrew and Folderit typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Chartbrew and Folderit. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Chartbrew is a powerful tool for creating and managing data visualizations. It allows users to connect to various data sources and build interactive charts and dashboards, making data analysis and presentation seamless and efficient.
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