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Begin with what the data should make possible.

The outcome can be clear even when the method is not.

01

Identify what matters.

02

Prioritise or rank options.

03

Forecast what may happen.

04

Make recurring reasoning repeatable.

The analytical path is specific to the question.

SELECTED PATH / FORECASTING

HISTORICALDATAAnomaliesPATTERNS/SEASONALITYStructural changesMODELAssumptionsBACKTEST/VALIDATIONScenario testingFORECASTUncertaintyDECISION

Selecting another question changes the path itself, not just the labels.

The logic has to survive contact with the data.

01

Observe behaviour

Test the logic on real data and examine what actually happens.

02

Find where it breaks

Look for edge cases, contradictions and unintended consequences.

03

Refine the reasoning

Adjust the approach based on what the data shows, not what was expected.

The work can end in two equally valid places.

A working internal solution

A purpose-built solution for your team, used in your environment, that solves the problem at hand.

Validated logic ready for integration

The analytical logic, tested and documented, ready to be integrated into your systems.

What do you want the data to do?

Discuss an idea →