This is one of the key challenges in Workday API integration.
Workday may use its own structures and formats for data, while other systems could have entirely different ones.
For example,
Workday stores employee information in formats like “Employee ID,” “Full Name,” “Department,” and “Hire Date.”
Meanwhile, Salesforce manages customer data, with fields like “Customer ID,” “Name,” “Account Type,” and “Registration Date.”
To fix this, extensive data mapping and transformation are necessary.
Without this step, data could be misinterpreted or lost during integration, which may result in errors and inconsistencies in your business operations.
Solution:
- Standardize data formats to reduce mapping complexity
- Use data mapping tools that facilitate visual mapping of data
- Work with Workday Studio to create custom integrations and streamline data transformations
- Implement data transformation middleware
- Use automation scripts or workflows to automate repetitive mapping and transformation tasks