This tutorial is part of the First Steps series. Complete Normalize with Rosetta Stone before starting.This step is optional for getting started. Evaluating mappings is more commonly part of a production workflow when you want to refine and improve your normalizations over time.
Prerequisites
- A Narrative I/O account
- At least one dataset with active Rosetta Stone mappings
Steps
Confirm your workspace
Use the workspace dropdown to switch organizations if needed. This keeps your normalized data organized by account.
Open Normalized Datasets
Navigate to Normalized Datasets to review and manage your standardized tables.
Select your dataset
Select the dataset you want to inspect. You can review its mappings, quality signals, and transformation setup.
Open the Actions menu
Open the Actions menu to access evaluation and update options for this dataset.
Run Evaluate Mappings
Choose Evaluate Mappings to validate how columns map to standardized attributes and assess confidence levels.
Review evaluation results
Click Evaluate Mappings to refresh scoring and identify any fields that need attention.
Check column normalization status
Review the column normalization status to see which columns have been analyzed and which still need review.
Use AI to auto-analyze
Use the AI button to auto-analyze column normalizations and speed up the review process.
Review an expression
Open an expression to review the exact logic producing the output. This helps you understand how source values are being transformed.
Edit expressions as needed
Edit expressions to refine how values are parsed and formatted for consistency. You can adjust logic for timestamps, addresses, or any other field.