Hard to Manage Spreadsheet Data - a Case Study

Custom Software Development in New Jersey

Orders spreadsheet before cleanup: mixed dates, currencies, and duplicates
“Before” - a single CSV with mixed formats and duplicates.

From Spreadsheet Headaches to a Clean Orders App

This business was managing orders in a single CSV; slow lookups, inconsistent formats, and duplicate rows led to bad data and missed follow-ups.

We turned that spreadsheet into a fast, reliable web app with validation, search, and cleanup built in.

  • Normalize dates, currency, ZIPs & phones
  • Catch duplicates and missing fields instantly
  • One place to filter, sort, and update orders

Jump to the live grid demo →

Starting point: mixed date/price formats, duplicate headers/rows, typos in emails, varied “Paid/UNPAID” values, and stray notes in totals.

Goal: a clean, searchable orders system that enforces rules as data is entered.

Process:

  1. Ingest the spreadsheet (as-is).
  2. Normalize formats (dates, currency, ZIP, phones).
  3. Validate fields (email, status enums, required values).
  4. Flag duplicates & totals mismatches.
  5. Review in a grid → export clean data.

Outcome: a reliable orders view you can filter, edit, and share.