Two reports, one number, and a $410K gap
Finance and operations reported different revenue for the same month, every month. Nobody could say which was wrong.
Data work for production, supply chain and logistics teams: reconciling reports, automating the manual ones, and bridging systems that were never connected.
Unravelling the spreadsheet nobody wants to touch: where each number comes from, which formulas are quietly wrong, and why it doesn't match the other report.
What this looks like → 02The report that takes someone four hours every Monday, rebuilt so it is finished before they arrive.
What this looks like → 03ETL without the capital project. Getting data from one place to another without a printer and a pair of hands in the middle.
What this looks like → 04You are probably not as ready as your boss thinks you are. An honest look at whether your data can carry what has been promised, and what to fix first.
What this looks like →Finance and operations reported different revenue for the same month, every month. Nobody could say which was wrong.
One analyst spent every Monday morning rebuilding the same workbook by hand. It now lands at 6am, finished.
Almost never a bug. Usually two reasonable definitions written years apart, by people who have since left.
6 min readThe four hours are worth reclaiming. The paragraph of commentary at the top is not the part to replace.
5 min read