Data enables us to make decisions based on facts rather than impressions. It helps us understand what works, identify areas for improvement and prioritise the actions that will have the greatest impact.
In your view, what distinguishes a data-driven decision from a mere hunch that is validated after the fact?
A data-driven decision is based on information that has been analysed before a decision is made. Conversely, a hunch that is validated after the fact involves looking for figures that confirm an idea that has already been decided upon.
How do you select the two or three KPIs that really drive a product or operational decision?
I focus on the metrics most directly linked to the desired objective. The idea is not to track a large number of KPIs, but to choose those that actually enable us to measure performance and act accordingly.
What signs indicate to you that data is unreliable or unusable?
When figures appear inconsistent, incomplete or vary significantly from one source to another, they warrant further verification. High-quality data must be consistent, comprehensible and sufficiently representative to be useful.
What types of analysis do you use most often to turn data into practical recommendations?
I mainly use trend analysis, time-series comparisons and variance analysis against targets. These approaches enable me to quickly identify opportunities for improvement and the actions that need to be taken.
Why is it important to combine data with business expertise?
Data helps us understand what is happening, but business expertise helps explain why it is happening and what actions are most appropriate to take.
What is the most common mistake made when analysing data?
Focusing solely on the figures without taking their context into account. Data is a tool to aid decision-making, but it must always be interpreted with a degree of perspective.
How can a data-driven culture be developed within a company?
A data-driven culture is built when day-to-day decisions are naturally based on facts and metrics. This involves sharing the right data, ensuring teams understand it, and making a habit of asking: what do the figures tell us? Before making a decision.
What advice would you give to someone who wants to make more data-driven decisions?
Start by clearly defining your objective, then identify a few relevant indicators to measure the results. A good decision is often based on a small amount of reliable data rather than a large amount of information.
