Overview
When you partially update a workbook, Vern matches rows between your existing data and the new file based on a shared identifier column. This process requires:- Uploading the file containing the additional data you want to merge
- Mapping columns between the new file and your workbook
- Selecting a matching identifier to link rows together
- Choosing how to handle existing values (override or keep)
- Importing the matched data to update your workbook
Uploading your file
To start a partial update:- Open the workbook you want to update
- Click Import → Upload File
- Select the file containing the data you want to merge (e.g., a CSV with address details)
- The AI will automatically analyze the file and suggest column mappings
Mapping columns
After uploading, you’ll see suggested column mappings. The AI will attempt to match columns based on names and data types:- Review each suggested mapping
- Adjust column mappings as needed (e.g., change separators like commas to spaces)
- Ensure all relevant columns are mapped correctly
- Verify that the data types match your workbook structure
Matching rows
Once your columns are mapped, you need to specify how rows should be matched:- Click Match Rows
- Select the matching identifier column (e.g., “Address ID”)
- This column must exist in both your workbook and the uploaded file
- Rows with matching values in this column will be linked together
- Review the matching preview to ensure rows are being matched correctly
Choosing update behavior
Before importing, you can choose how to handle existing values:- Incoming: Replace empty or null cells with data from the new file
- Existing: Preserve current data even if the new file has different values
- Import all as new: Keep existing values and add all the data from the new file as new records
Importing the data
Once you’ve configured your mappings and matching:- Review your settings to ensure everything looks correct
- Click Import Data
- The matched data will be imported into your workbook
Use cases
Partial updates are particularly useful when:- Filling missing data: You have incomplete records and need to add details from another source
- Merging datasets: Combining information from multiple files that share a common identifier
- Updating specific fields: You only want to update certain columns without affecting the rest of your data
- Data enrichment: Adding additional details to existing records (e.g., addresses, contact information, status updates)
Best practices
- Verify your matching identifier: Ensure the identifier column contains unique, consistent values in both files
- Review mappings carefully: Double-check column mappings before importing to avoid data mismatches
- Test with a small dataset: If working with large files, consider testing with a subset first
- Backup your data: Consider creating a copy of your workbook before performing large updates
- Check for duplicates: Ensure your matching identifier doesn’t have duplicate values that could cause unexpected updates