Connect BoardCRM and KNIME to Build Intelligent Automations
Enable Integrations or automations with these events of BoardCRM and KNIME
Enable Integrations or automations with these events of BoardCRM and KNIME
Actions
Add Comment
Add a comment to a specified deal in BoardCrm.
UpdateLead
Update an existing lead in BoardCrm by Lead ID to modify name, contact details, company, position, and notes.
Create Deal
Create a new deal (offer) in BoardCrm using the provided lead details and deal field values.
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Frequently Asked Questions
To start, connect both your BoardCRM and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in BoardCRM triggers actions in KNIME (or vice versa).
Absolutely. You can customize how BoardCRM data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between BoardCRM and KNIME 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 BoardCRM and KNIME. 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 BoardCRM
BoardCrm is a comprehensive CRM solution designed to streamline customer relationship management and enhance sales processes. With features tailored for efficient contact management, sales tracking, and customer engagement, BoardCrm empowers businesses to build stronger relationships and drive growth.
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About KNIME
KNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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