Data Analytics

How to Normalize Insurance Claim Data from Multiple Insurers

2 min readworks with apps likeExcel, Google Sheets

Cheatdeck automates insurance-claims cleanup so you never manually reformat insurer CSVs again.

Insurance claim data rarely arrives clean. Each insurer exports CSVs with different column names, formats, and layout quirks. If you manage claims across multiple insurers, you’ve probably spent months manually reformatting the same fields over and over – because payouts land long after the injury, forcing you to re-run the entire history every time.

Cheatdeck turns this recurring mess into a one-click automation you can run the moment a new CSV arrives.


Why Multi – Insurer Data Is Always Inconsistent

Typical issues:

  • Columns named differently (Claim#, Claim_ID, claimnumber)
  • Extra header/footer rows you always delete
  • Dates exported as text
  • Fields appearing or disappearing between reports
  • Season and policy-year formats that never match your template

One wrong rename and your dashboards break.


How Cheatdeck Normalizes Every Insurer’s Export

A single Cheat can handle the entire cleanup process:

1. Load the Newest CSV

Cheatdeck prompts you to select your insurer’s latest export.

2. Clean and Standardize

  • Remove junk rows
  • Convert dates into a consistent format
  • Normalize season/policy-year fields
  • Standardize categorical values (status, injury type)

3. Apply Your Canonical Schema

Cheatdeck renames and reorders all columns to match your internal master format exactly.

4. Write into Your Historical Master

The cleaned data is written directly into your Google Sheet or Excel master file – ready for BI tools.


Why This Saves Hours Every Month

  • Zero manual formatting
  • Zero risk of human error
  • Zero dashboard breakage
  • One deterministic output you can trust
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