Connect IndiaMART and Qlik Sense to Build Intelligent Automations
Choose a Trigger
When this happens...
New Lead Created
Choose an Action
Automatically do this!
- Request a new Action for Qlik Sense
Enable Integrations or automations with these events of IndiaMART and Qlik Sense
Enable Integrations or automations with these events of IndiaMART and Qlik Sense
Triggers
New Lead Created
Trigger when new lead is created.
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Frequently Asked Questions
To start, connect both your IndiaMART and Qlik Sense accounts to viaSocket. Once connected, you can set up a workflow where an event in IndiaMART triggers actions in Qlik Sense (or vice versa).
Absolutely. You can customize how IndiaMART 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 IndiaMART 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 IndiaMART 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 IndiaMART
IndiaMART is a leading online marketplace connecting buyers and suppliers across various industries in India. It provides a platform for businesses to showcase their products and services, facilitating B2B transactions and networking.
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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