Connect Mapsly and Birst to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Mapsly
Choose an Action
Automatically do this!
- Request a new Action for Birst
Enable Integrations or automations with these events of Mapsly and Birst
Enable Integrations or automations with these events of Mapsly and Birst
Actions
Create or Update record
Creates a new or update an existing record.
Know More About Mapsly and Birst Integrations
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Frequently Asked Questions
To start, connect both your Mapsly and Birst accounts to viaSocket. Once connected, you can set up a workflow where an event in Mapsly triggers actions in Birst (or vice versa).
Absolutely. You can customize how Mapsly data is recorded in Birst. This includes choosing which data fields go into which fields of Birst, setting up custom formats, and filtering out unwanted information.
The data sync between Mapsly and Birst 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 Mapsly and Birst. 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 Mapsly
Mapsly is a powerful geo-mapping and location intelligence platform that integrates with your CRM to provide advanced mapping, routing, and territory management capabilities. It helps businesses visualize their data on a map, optimize routes, and manage territories effectively.
Learn MoreAbout Birst
Birst is a cloud-based business intelligence and analytics platform that helps organizations make data-driven decisions. It provides tools for data discovery, visualization, and reporting, enabling users to transform raw data into actionable insights. Birst's platform is designed to be user-friendly, allowing both technical and non-technical users to access and analyze data efficiently.
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