Connect mentortools and Google Data Studio to Build Intelligent Automations
Enable Integrations or automations with these events of mentortools and Google Data Studio
Enable Integrations or automations with these events of mentortools and Google Data Studio
Actions
Get Courses
Get simplified list of courses
Create Courses
Total Courses
Get total count of courses
Course info by ID
Get course info by ID (simple info)
Get module by ID
Get module info by ID
Get Module information
Get detailed module information
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Frequently Asked Questions
To start, connect both your mentortools and Google Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in mentortools triggers actions in Google Data Studio (or vice versa).
Absolutely. You can customize how mentortools 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 mentortools 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 mentortools 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.
About mentortools
Mentortools is a platform designed to facilitate online learning and mentorship programs. It provides tools for creating, managing, and delivering educational content, making it easier for mentors and educators to connect with learners and track their progress.
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About Google Data Studio
Google 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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