Mapper
Map and transform data
Overview
A data mapper allows the creation, association, matching, and manipulation of fields between multiple services (systems).
How It Works
- transforming values using functions
- adding multiple fields to a new field
- manipulating elements in an array
Use Cases
Mapping is used in every aspect of the workflow life cycle. Some common use cases include:
Taking a customer address from Shopify and saving it in Salesforce
Having a new order from Magento come in as a webhook and exporting it to Netsuite
Removing unwanted text from a field
Making mathematical calculations
Adding the current date to your data to be processed in WooCommerce
Key Benefits
Eliminate manual data entry and reduce errors with fully automated synchronization.
Keep all your systems updated instantly with real-time data synchronization.
Built to handle growing data volumes and complex business requirements.
Get up and running quickly with our intuitive configuration interface.