
When this happens...
New Record created,updated or deleted

Automatically do this!
Enable Integrations or automations with these events of GAS-test and Sisense
Retrieves a specific test entry from the GAS-test service.

Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.

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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 GAS-test and Sisense accounts to viaSocket. Once connected, you can set up a workflow where an event in GAS-test triggers actions in Sisense (or vice versa).
Absolutely. You can customize how GAS-test data is recorded in Sisense. This includes choosing which data fields go into which fields of Sisense, setting up custom formats, and filtering out unwanted information.
The data sync between GAS-test and Sisense 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 GAS-test and Sisense. 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.
GAS-test is a configuration tool designed for creating and managing actions and triggers within the Viasocket platform. It allows users to automate workflows and integrate various services seamlessly.
Learn MoreSisense is a leading business intelligence and data analytics platform that empowers organizations to make data-driven decisions. It provides powerful tools for data visualization, reporting, and dashboard creation, enabling users to transform complex data into actionable insights. With its user-friendly interface and robust analytics capabilities, Sisense helps businesses of all sizes to harness the power of their data for strategic growth and operational efficiency.
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