
When this happens...
Deployment Failed
Deployment Canceled
Deployment Created
Project Created

Automatically do this!
Enable Integrations or automations with these events of Vercel and Google Data Studio
Triggers when the project deployment is failed
Triggers when deployment is canceled
Triggers when a new deployment is created
Triggers when a project is created
List all an existing projects.
List all an existing deployments.
Retrieves information related to the currently authenticated User.
Adds a domain to a project.
Updates a project domain.
Deletes a deployment.

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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 Vercel and Google Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Vercel triggers actions in Google Data Studio (or vice versa).
Absolutely. You can customize how Vercel data is recorded in Google Data Studio. This includes choosing which data fields go into which fields of Google Data Studio, setting up custom formats, and filtering out unwanted information.
The data sync between Vercel and Google Data 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 Vercel and Google Data 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.
Vercel is a cloud platform for static sites and serverless functions that enables developers to deploy websites and applications with ease. It provides a seamless workflow for frontend developers, offering features like automatic scaling, high performance, and a global CDN.
Learn MoreGoogle Data Studio is a powerful tool that allows users to transform raw data into informative, easy-to-read, and shareable dashboards and reports. It integrates seamlessly with various data sources, enabling users to visualize and analyze data in real-time, making it an essential tool for data-driven decision-making.
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