Connect 7Shifts and Causal to Build Intelligent Automations

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7Shifts

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Frequently Asked Questions

How do I start an integration between 7Shifts and Causal?

To start, connect both your 7Shifts and Causal accounts to viaSocket. Once connected, you can set up a workflow where an event in 7Shifts triggers actions in Causal (or vice versa).

Can we customize how data from 7Shifts is recorded in Causal?

Absolutely. You can customize how 7Shifts data is recorded in Causal. This includes choosing which data fields go into which fields of Causal, setting up custom formats, and filtering out unwanted information.

How often does the data sync between 7Shifts and Causal?

The data sync between 7Shifts and Causal typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from 7Shifts to Causal?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between 7Shifts and Causal?

Yes, you can set conditional logic to control the flow of data between 7Shifts and Causal. 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.

7Shifts

About 7Shifts

7shifts offers robust settings for managing labor visibility and schedule configuration, including Time Clocking and integration settings for tracking labor data and hiding certain staff members from the schedule.

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Causal

About Causal

Causal is a modern tool designed to simplify financial modeling, forecasting, and data analysis. It allows users to create dynamic models with ease, offering a more intuitive and collaborative approach to handling complex data. With Causal, users can connect their data sources, visualize outcomes, and share insights seamlessly, making it an ideal solution for businesses and individuals looking to enhance their decision-making processes.

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