Use cases
Same analysis. Different desk.
- Use cases
- 13
- Analysis
- the same one
- What differs
- the data
Use case
Analysis for people who sell things online.
Store platforms report revenue well and profit badly. The gap between the two is where most of the useful analysis lives.
Use case
Analysis for people running surveys.
Most survey findings that fall apart do so because of who answered, not because of what they said.
Use case
Analysis for your own money.
Budgeting apps categorise transactions to fit their charts. Your own statements, cleaned properly, say something different.
Use case
Analysis for people who reconcile other people's books.
The work is not the addition. It is deciding what each line was, and being able to show the decision afterwards.
Use case
Analysis for fundraising and membership teams.
The sector's headline health metric is the one most distorted by the duplicate records nobody has time to merge.
Use case
Analysis for clinics, practices and anyone booking appointments.
The rate most practices quote counts three different things, and the strongest predictor is a field most exports leave out.
Use case
Analysis for people holding stock.
Knowing which stock is dead is a stocktake. Knowing why it was bought is the analysis.
Use case
Analysis for people who invoice and then wait.
A profitable business runs out of money on a specific day, and a monthly forecast is a forecast of the one day a month you happen to look.
Use case
Analysis for kitchens, bars and anyone costing a menu.
Most menu engineering fails at the join, because a dish name in the till and a dish name on the recipe card are two different strings.
Use case
Analysis for landlords and letting agents.
A rent roll shows a balance on a date. Almost everything worth knowing is in the pattern behind it.
Use case
Analysis for people teams.
Three people can compute attrition correctly and get three answers, which is why the definition matters more than the arithmetic.
Use case
Analysis for people buying traffic.
Every platform reports a number that is true from where it is standing, and they sum to more customers than exist.
Use case
Analysis for people who have to show their working.
Reproducibility fails on the things nobody wrote down, and they are almost never the calculations.