Analysis

Data Cleanup

Normalises messy exports and documents every transformation.

About

Deduplicates, normalises fields and flags rows that need a human decision. The transformation log stays with the file so results remain reproducible.

How to use

Upload the export, state the target schema and ask for the transformation log alongside the clean file.

Step by step

  1. 01

    Define the schema

    Say exactly which fields and formats you expect.

  2. 02

    Run the cleanup

    Deduplicate, normalise and flag ambiguous rows.

  3. 03

    Keep the log

    Store the transformation log next to the output file.

What you get

Clean dataset
Flagged rows
Transformation log
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Public voices

Participants write on LinkedIn

Excerpts from public LinkedIn posts.

For me it was seeing people who've never touched Lovable or Cursor spin up a working AI tool in 24 hours.
Marie KlamerCreative Strategy Lead, YOYABA
24 hours, lots of ideas, not that much sleep... and somehow we turned it into a working product.
Lisa KralCreative Strategist, YOYABA
By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own.
Okechukwu UkaigweB2B Marketing Leader, NavVis

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