Connect DitCal and Qlik Sense to Build Intelligent Automations
Enable Integrations or automations with these events of DitCal and Qlik Sense
Enable Integrations or automations with these events of DitCal and Qlik Sense
Triggers
Booking Cancelled
Triggers when a booking is cancelled.
New Booking
Triggers when a new booking is created.
Meeting Rescheduled
Triggers when meeting is rescheduled.
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Frequently Asked Questions
To start, connect both your DitCal and Qlik Sense accounts to viaSocket. Once connected, you can set up a workflow where an event in DitCal triggers actions in Qlik Sense (or vice versa).
Absolutely. You can customize how DitCal data is recorded in Qlik Sense. This includes choosing which data fields go into which fields of Qlik Sense, setting up custom formats, and filtering out unwanted information.
The data sync between DitCal and Qlik Sense 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 DitCal and Qlik Sense. 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 DitCal
DitCal is a comprehensive calendar and scheduling tool designed to streamline your personal and professional life. It offers features such as event scheduling, reminders, and integration with other productivity tools to ensure you never miss an important meeting or deadline.
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About Qlik Sense
Qlik Sense is a powerful data analytics and business intelligence platform that enables users to easily create visualizations, dashboards, and reports. It allows organizations to explore and analyze data from multiple sources, providing insights that drive better decision-making. With its intuitive interface and robust data integration capabilities, Qlik Sense empowers users to uncover hidden trends and patterns in their data.
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