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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when the end user submits any data through your form.
Action is the task that follows automatically within your Feathery integrations.
Retrieve your Account Information
Search a user's Looker Studio assets.
Retrieves a list of permissions for a given Looker Studio asset.
Give one or more people, groups, or domains a Viewer, Editor, Owner, or link role on a Looker Studio asset.

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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 Feathery and Looker Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Feathery triggers actions in Looker Studio (or vice versa).
Absolutely. You can customize how Feathery data is recorded in Looker Studio. This includes choosing which data fields go into which fields of Looker Studio, setting up custom formats, and filtering out unwanted information.
The data sync between Feathery and Looker Studio 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 Feathery and Looker Studio. 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.
Feathery is your go-to platform for lightweight, efficient web solutions. Specializing in seamless, user-friendly interfaces and high-performance applications, Feathery ensures your digital presence is both elegant and powerful.
Learn MoreLooker is a powerful business intelligence and data analytics platform that helps organizations explore, analyze, and share real-time business insights. It provides a user-friendly interface for creating data-driven reports and dashboards, enabling data teams to collaborate effectively and make informed decisions.
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