Turning Raw Data Into Decisions: A Practical Framework

Before you clean a single spreadsheet, write down the decision the data is meant to inform. Analysis without a decision attached is expensive decoration.

Next, define the smallest dataset that could answer the question. Teams routinely collect ten fields when two would settle the matter, then drown in the cleaning.

Structure comes third. A tidy dataset — one row per observation, one column per variable, consistent units — removes most of the pain that people blame on analysis itself.

Only then do you analyse, and the analysis should be reproducible: someone else should be able to rerun it and reach the same number.

Finally, present the finding as a recommendation with its uncertainty stated. A decision-maker needs to know both what the data suggests and how much weight it can carry.