Connect Zonka Feedback and Qlik Sense to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Zonka Feedback
Choose an Action
Automatically do this!
- Request a new Action for Qlik Sense
Enable Integrations or automations with these events of Zonka Feedback and Qlik Sense
Enable Integrations or automations with these events of Zonka Feedback and Qlik Sense
Actions
Send Email Survey
Sends an Email Survey to the recipients you select.
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Frequently Asked Questions
To start, connect both your Zonka Feedback and Qlik Sense accounts to viaSocket. Once connected, you can set up a workflow where an event in Zonka Feedback triggers actions in Qlik Sense (or vice versa).
Absolutely. You can customize how Zonka Feedback 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 Zonka Feedback 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 Zonka Feedback 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 Zonka Feedback
Zonka Feedback is a multi-channel customer feedback management and survey app on iPad & Android Tablets, Web, Emails & SMS.
Learn MoreAbout 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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