When this happens...

Automatically do this!
Enable Integrations or automations with these events of Workzappy and Qlik Sense
Create a new task.
Create a new Project.
Create a new phase(sprint) for your project
Create a New tag.
Remove a specific Task.
Enable Organization User.

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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 Workzappy and Qlik Sense accounts to viaSocket. Once connected, you can set up a workflow where an event in Workzappy triggers actions in Qlik Sense (or vice versa).
Absolutely. You can customize how Workzappy 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 Workzappy 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 Workzappy 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.
Workzappy is a comprehensive platform designed to enhance productivity and streamline project management for teams and businesses. It offers a suite of tools that facilitate task management, collaboration, and communication, ensuring that projects are completed efficiently and effectively.
Learn MoreQlik 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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