Duration
2 days · 14 hours
“In leadership today, the strongest instincts are the ones the data confirms.”
Builds the capability to blend instinct-led speed with data-grounded accuracy, with discipline, under uncertain market conditions.
Data only becomes meaningful when the right questions are asked of it. This program gives managers the discipline to read, interrogate and translate data into decisions — to speak with data without being a data scientist.
From the correlation–causation distinction to metric design, it offers a practical framework for grounding everyday managerial decisions in evidence.
Seeing the assumptions and biases behind the numbers.
Separating correlation from causation to avoid faulty inference.
Choosing the right metrics and building dashboards that guide the decision.
The managerial foundations of data literacy.
Sampling, survivorship bias and visual manipulation.
Drawing inference through experimental and quasi-experimental logic.
Metric design and the bridge from data to decision.
PhD in decision science and managerial behavior; a practitioner who teaches at leading universities and has designed executive development programs across many organizations. He brings academic rigor to real-world practice.
Moves you beyond one-off choices toward the capability to design decision architectures that raise the decision quality of your team and your organization, systematically.
Explore programBuilds a decision-making capability for high-uncertainty situations, pairing evidence-based methods with creative judgment.
Explore programWe adapt the content to your team’s agenda and sector to make it fully bespoke.