Forecasts · Planned
Forecasts are planned for measures such as revenue, income or completed tasks, based on their history. Every forecast is meant to show a range instead of a single value and to disclose its assumptions. It does not exist yet. Today you see a measure's history on a time grid from week to year and compare it with last year yourself.
Today: read the KPI basicsPlanned, not available. A forecast is not a promise. The preview has measures on a time grid from day to year.
01 / Example value
Which number would you like to know three months ahead?
Receipts: income by month, three years of history · Forecast as a range (planned) · Today: compared with last year's quarter
Change the example value. The finding follows the value.
Fictional example · no real data
Two sample questions
Which decision depends on it?
How much revenue will December bring per channel?
Receipts: income by month, three years of history · Forecast as a range (planned) · Today: compared with last year's quarter
Orders: revenue by channel and month · Forecast per channel, currencies apart (planned) · Check the stock purchase as a task
Honest about the status
01 / What is settled today
This capability is specified and not built yet. There is no date and no separate price.
02 / Your control
Businesses and numbers on this page are made up and marked as examples. None of it is a measurement or a customer result.
Compare both evaluations and their reasons.
03 / The clear limit
Peak Analytics is available as a preview: pivot evaluations over orders, receipts, tasks, goals and files, CSV export and sharing.
Your next step
The KPI basics show how to define a measure so that its history can carry a forecast at all.
Today: read the KPI basicsPlanned, not available. A forecast is not a promise. The preview has measures on a time grid from day to year.
No. This capability is planned and not built yet; there is no launch date. Available today is the Peak Analytics preview: pivot evaluations over orders, receipts, tasks, goals and files with CSV export and sharing.
Because a single forecast number fakes certainty. The plan is for every forecast to name its range, its data period and its assumptions.
The plan is that Peak Analytics then shows no forecast and says why.
Look at a measure's history on a time grid from week to year and compare it with last year yourself, such as income by month from receipts.
