Connect SandeshChat and Google Data Studio to Build Intelligent Automations
Enable Integrations or automations with these events of SandeshChat and Google Data Studio
Enable Integrations or automations with these events of SandeshChat and Google Data Studio
Actions
Send Template Message
Send a SandeshChat template message to a recipient's phone number.
Send Session Message
Send a chat message (text, image, audio, video, document, or location) to a recipient via SandeshChat.
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Frequently Asked Questions
To start, connect both your SandeshChat and Google Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in SandeshChat triggers actions in Google Data Studio (or vice versa).
Absolutely. You can customize how SandeshChat 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 SandeshChat 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 SandeshChat 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 SandeshChat
SandeshChat is a dynamic communication platform designed to enhance team collaboration and streamline messaging. Ideal for businesses and teams looking to improve their internal communication, SandeshChat offers a range of features including instant messaging, file sharing, and group chats.
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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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