Connect Microsoft Excel and V7 Go to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Microsoft Excel
Choose an Action
Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
Enable Integrations or automations with these events of Microsoft Excel and V7 Go
Enable Integrations or automations with these events of Microsoft Excel and V7 Go
Actions
Find Row
Find a Row in a table by column and value
Create Spreadsheet
Create a New Spreadsheet
Add Row to Table
Add Row to the End of Specific Table
Update Row
Update Row
Create Project
Creates a new project.
Create a New Session
Create a new session
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Step by step guides to integrate Microsoft Excel and V7 Go
Frequently Asked Questions
To start, connect both your Microsoft Excel and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Microsoft Excel triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Microsoft Excel 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 Microsoft Excel 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 Microsoft Excel 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 Microsoft Excel
Microsoft Excel is a spreadsheet program included as part of the Microsoft Office suite of applications. It allows users to organize, format, and calculate data with formulas using a spreadsheet system broken up by rows and columns
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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