Connect Parma and DataRobot to Build Intelligent Automations
Choose a Trigger
When this happens...
New Relationship
Choose an Action
Automatically do this!
- Request a new Action for DataRobot
Enable Integrations or automations with these events of Parma and DataRobot
Enable Integrations or automations with these events of Parma and DataRobot
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 DataRobot accounts to viaSocket. Once connected, you can set up a workflow where an event in Parma triggers actions in DataRobot (or vice versa).
Absolutely. You can customize how Parma data is recorded in DataRobot. This includes choosing which data fields go into which fields of DataRobot, setting up custom formats, and filtering out unwanted information.
The data sync between Parma and DataRobot 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 DataRobot. 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 DataRobot
DataRobot is a leading AI platform that enables organizations to harness the power of machine learning and artificial intelligence to drive business insights and decision-making. It offers automated machine learning capabilities, allowing users to build, deploy, and manage AI models efficiently.
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