Connect Eventzilla and Qlik Sense to Build Intelligent Automations
Enable Integrations or automations with these events of Eventzilla and Qlik Sense
Enable Integrations or automations with these events of Eventzilla and Qlik Sense
Triggers
Attendee Check-In Changes
Runs when attendee check-in changes
New Registration
Runs when new registration occurs
Registration Is Updated
Runs when registration is updated
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Know More About Eventzilla and Qlik Sense Integrations
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Frequently Asked Questions
To start, connect both your Eventzilla and Qlik Sense accounts to viaSocket. Once connected, you can set up a workflow where an event in Eventzilla triggers actions in Qlik Sense (or vice versa).
Absolutely. You can customize how Eventzilla 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 Eventzilla 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 Eventzilla 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 Eventzilla
Eventzilla is a do-it-yourself event ticketing and marketing platform that helps event organizers to sell tickets online, process credit card payments and promote events across social media channels.
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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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