The Scenario
You ran a LinkedIn data refresh last week. Your VA went through 60 Parma contacts and updated their job titles and company names in a Excel workbook — each row has the RelationshipID, the corrected JobTitle, and the new Company. The sheet is clean. The work is done. Now you just need Parma to reflect the corrections.
Except there's no "bulk update from a spreadsheet" button in Parma.
The bad version:
- Open Parma, search for the first contact by name, open the relationship, click Edit, update the job title, update the company, save.
- Pull up row two. Search again. Open. Edit. Save.
- Somewhere around contact 20 you realize the search is returning the wrong person because two contacts have similar names, and you've just overwritten the right record with the wrong title.
60 contacts. If each one takes three minutes when you're being careful, that's three hours of edit-save-search-repeat. And one misclick in Parma doesn't give you an undo.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the sheet, uses the RelationshipID column as the key, and patches each Parma record directly — no UI navigation, no search, no risk of landing on the wrong contact.
Update the Parma relationship for every row in this sheet — use the RelationshipID column to find each contact and overwrite the JobTitle and Company fields with the values in this table
What You Get
- All 60 Parma relationships updated, each matched by RelationshipID so there's no ambiguity about which record gets which change.
- A result column written back to the sheet marking each row as "Updated" or flagging it with an error message if the ID wasn't found.
- The update runs as a batch — one confirmation, one execution, not 60 sequential edit sessions.
What If the Data Is Not Quite Ready
Some rows are missing a RelationshipID because the VA couldn't find the match
Update all rows in this sheet where the RelationshipID column is populated — use it to find each Parma contact and overwrite JobTitle and Company. For rows where RelationshipID is blank, write "Skipped — no ID" in column E and do not attempt an update.
The Company column has inconsistent capitalization that needs normalizing first
Before updating Parma, normalize the Company column in this sheet: convert each value to title case. Then update the Parma relationship for every row using RelationshipID as the key, writing the normalized Company and the JobTitle column as-is.
You also need to update the relationship description field for some rows
For every row in this sheet where column D (NewDescription) is not blank, update the Parma relationship matching the RelationshipID — write the JobTitle from column B, the Company from column C, and the description from column D. For rows where column D is blank, update only JobTitle and Company.
Full update with pre-flight check: flag stale IDs, normalize data, update, report
Before updating anything, check which RelationshipIDs in this sheet exist in Parma and flag any that return 404 in column F. Then normalize the Company column to title case. Then update all valid rows using RelationshipID, writing the corrected JobTitle and Company to each Parma relationship. Finally, write a summary in cell H1 with the count of successful updates, skipped rows, and failed IDs.
One prompt replaces an afternoon of manual edits — and the result log in the sheet gives you an audit trail you never had from the UI.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook with your corrected contact data, then ask it to push all the updates into Parma matched by RelationshipID. See also the export article if you need to pull the current state of your Parma contacts into a sheet before running corrections.