Data scientists can’t rely only on assumptions, models, and numbers to understand the choices users make.

Partner with collaborators from different fields to demonstrate how a product benefits both intended users as well as those outside the target market.

To benefit from analytics more broadly, companies should facilitate linear data-focused operations while investing in discovery through nonlinear analytics.