Signal before spreadsheet
We begin with leading indicators and exception notes, then model — so the workbook does not invent certainty the market never offered.
Vector Service Core
Forecasts that survive contact with the week.
We train finance and commercial teams to read demand signals, challenge soft assumptions, and publish revenue ranges that operations can actually use.
1,240analysts coached across GB cohorts
31%median cut in late-quarter forecast swing
9live intakes scheduled each year
From recent cohorts
What people notice after the first signal review
“The pipeline hygiene module stopped our Friday scramble. We still miss some deals, but the misses are named earlier.”
“I joined for business analytics for revenue forecasting and left with a weekly ritual my board actually reads. The scenario sheet is denser than I expected, which slowed week two.”
Flagship programme
Revenue Signal Lab
A six-week practice for teams who need cleaner demand reads, honest conversion math, and a forecast narrative that holds under pressure.
How we teach
Methods built for noisy commercial data
Ranges with owners
Every forecast band carries a named owner, a trigger, and a revision rule. Boards stop asking for a single number that never existed.
GB operating context
Examples reference UK reporting cycles, VAT timing quirks, and regional demand patterns without pretending every market behaves alike.
Next step
Bring your current forecast pack
Tell us where the model wobbles. We will point you to the right course or a short advisory call.