KEN COLLIER

Agile Discovery. Agile analytics starts with a high value business goal and then chunks up the data science into tiny incremental goals that can be presented to stakeholders every few days. Each tiny analytical discovery can be reviewed and used by business decision makers and is a step toward achieving the bigger original goal... Lean Learning. Each tiny business action or decision based on analysis is rigorously measured so that we can learn whether the analytical model has the intended consequence. This build-measure-learn cycle is key to ensuring that we are converging on the right outcome even if it diverges from the original goal... Impact. Agile analytics is continuously focused on actionable, insightful, and disruptive knowledge discovery. It is very easy to find yourself doing interesting data analysis that is not necessarily impactful analysis. Delivering results every few days enables us to continuously evaluate the usefulness and impactfulness of the results.

Also known as: The Agilist