Connect Qlik and Chatlayer to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Qlik
Choose an Action
Automatically do this!
Send Message
Create Channel
Delete Channel
Extract NLP Result
Ready to use Qlik and Chatlayer automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Bot
Triggered when a new bot is created.
Do thisActions
Action is the task that follows automatically within your Qlik integrations.
Create App
Create a new Qlik Sense app
List All Spaces
Get all spaces in tenant
Create Space
Create a new space in Qlik.
Copy App
Duplicate an existing Qlik app
List Items
Get apps, dashboards, datasets
Invite User
Invite user and assign roles
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Frequently Asked Questions
To start, connect both your Qlik and Chatlayer accounts to viaSocket. Once connected, you can set up a workflow where an event in Qlik triggers actions in Chatlayer (or vice versa).
Absolutely. You can customize how Qlik data is recorded in Chatlayer. This includes choosing which data fields go into which fields of Chatlayer, setting up custom formats, and filtering out unwanted information.
The data sync between Qlik and Chatlayer 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 Qlik and Chatlayer. 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 Qlik
Qlik is a powerful data analytics and business intelligence platform that helps organizations make data-driven decisions. It offers a range of tools for data visualization, reporting, and dashboard creation, enabling users to gain insights from their data quickly and efficiently.
Learn MoreAbout Chatlayer
Chatlayer is a powerful AI-driven platform designed to create, manage, and optimize chatbots for various communication needs. It enables businesses to automate customer interactions, enhance user engagement, and improve customer support through intelligent conversational agents.
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