Clean Up a Case Management Data Export with Gemini in Google Sheets

What This Does

Takes a messy export from your case management or donor system and standardizes it: fixing inconsistent date formats, removing duplicate rows, and organizing scattered columns into something you can actually build a report from. Exports rarely come out clean, and this cuts the manual reformatting step that usually eats twenty or thirty minutes before real analysis can start.

Before You Start

• Access to {{tool:Google Sheets.plan}} through your organization's Google account
• An export file from your case management or CRM system (CSV or Excel), uploaded or pasted into a new Google Sheet
• Client names and identifying details removed or replaced with case ID numbers before you open the AI panel

Steps

1. Find the AI feature

With your data open in Google Sheets, click the Ask Gemini icon in the top right of the toolbar, or press Ctrl+Alt+G (Cmd+Option+G on Mac). A prompt bar or side panel opens where you can type a request.

2. Tell it what you need

Describe the cleanup you want in plain language. Point at specific problems rather than asking it to fix everything at once: inconsistent date formats, duplicate rows, blank cells that should say "N/A," or a category column that uses five different spellings for the same program.

3. Review and use the result

Gemini either applies the changes directly or suggests them for you to accept. Scroll through the cleaned sheet and spot-check a handful of rows against the original export, since automated cleanup can occasionally merge or drop a row that looked like a duplicate but wasn't. Once it checks out, save a copy before you build charts or pivot tables on top of it.

Real Example

Scenario: Your quarterly case management export has 340 rows with three different date formats, a "Program" column where "Youth Mentoring" appears four different ways, and about a dozen exact duplicate rows from a system sync error.

What you type: "Standardize the date formats in column C to MM/DD/YYYY, remove exact duplicate rows, and combine the different spellings of 'Youth Mentoring' in column E into one consistent label."

What you get: A cleaned sheet with consistent dates, duplicates removed, and the program column standardized. You spot-check fifteen rows against the original file, confirm the row count dropped by exactly the number of true duplicates, and move on to building your quarterly summary.

Tips

• Never paste raw exports with client names, addresses, or other identifying details into the AI panel. Replace names with case ID numbers first, per your organization's data policy, and keep the original file as your unedited backup.
• Ask for one type of fix at a time on a first pass. A single broad request like "clean this up" is harder to check than three specific ones.
• Once you have a cleanup prompt that works well for your export format, save it in a notes doc. Case management exports tend to have the same formatting quirks every quarter.

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