Connect Parma and KNIME to Build Intelligent Automations
Choose a Trigger
When this happens...
New Relationship
Choose an Action
Automatically do this!
- Request a new Action for KNIME
Enable Integrations or automations with these events of Parma and KNIME
Enable Integrations or automations with these events of Parma and KNIME
Triggers
New Relationship
Triggers when a new relationship is created
Actions
List Groups
Lists all existing groups
List Relationships
Lists all existing Relationships
Create Note
Create note in a relationship
Create Relationship
Creates a relationship
Get Relationship
Get details of a Relationship
List deals
List all deals in the Parma account
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Frequently Asked Questions
To start, connect both your Parma and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Parma triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Parma 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 Parma 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 Parma 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 Parma
Parma is a minimalistic CRM that helps you remember who your customers are, what they like, and when you last connected.
Learn MoreAbout 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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