Data and forecasting
Give decision-makers information they can use in time.
A dashboard can explain the past. An alert can highlight a threshold. A forecast can estimate what may happen next. We choose the right approach for the decision and the quality of available data.
- QuestionWhat needs deciding
- DataOperational data
- CheckSource and update time
- SignalDashboard, alert or estimate
- DecisionManagement
- OutcomeAction taken early
On this page
What it solves
Three tools for three situations.
We choose the right approach for the decision and the quality of available data.
- DashboardExplains what happened.
- AlertHighlights a crossed threshold.
- ForecastEstimates what may happen next. Only where the data can support it.
How it works
Begin with the decision.
First we clarify which decision is to be supported. That determines the data, indicators and update frequency.
We separate facts from estimates.
We do not label every chart a prediction.
Fact
Current figures show their source and update time.
- Source
- Update time
Estimate
Forecasts show assumptions, prediction period and uncertainty.
- Assumptions
- Prediction period
- Uncertainty

Management decides
Management decides, not the model.
Every estimate shows its inputs and limitations, so it is clear what it rests on.
- Alerts arrive before a decision becomes urgent.
- Each estimate shows what it is based on.
- Management decides how to respond.
- Operational data
- Risk alert
- Management decides
- Action taken early
systemautomationa person decidesoutcome
How we validate
We check whether the estimate is useful.
We compare estimates with what actually happened. We use a complex model only where it is reliable enough for the decision.
Related
What is holding back your growth today?
The initial call is an introduction. The Audit and any further work are scoped and agreed separately.