Connect Looker Studio and V7 Go to Build Intelligent Automations
Enable Integrations or automations with these events of Looker Studio and V7 Go
Enable Integrations or automations with these events of Looker Studio and V7 Go
Actions
Search Asset
Search a user's Looker Studio assets.
List Asset Permissions
Retrieves a list of permissions for a given Looker Studio asset.
Add members to Looker Studio asset
Give one or more people, groups, or domains a Viewer, Editor, Owner, or link role on a Looker Studio asset.
Create Project
Creates a new project.
Create a New Session
Create a new session
Delete Project
Delete a project.
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Frequently Asked Questions
To start, connect both your Looker Studio and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Looker Studio triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Looker Studio data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between Looker Studio and V7 Go 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 Looker Studio and V7 Go. 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.
About Looker Studio
Looker 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.
Learn MoreAbout V7 Go
V7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
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