Practical Data Science and Analytics are difficult. Changing data. Evolving requirements. Iterations and dead ends. This is the reality for the majority of organisations struggling to leverage Data Science and Analytics.
High performing Data Science and Analytics teams are robust to dynamic projects and disruptions rather than at their mercy. These teams can embrace change with confidence rather than resist change out of fear. They demonstrate quantified value quickly and confidently rather than reactively second-guessing their own analyses.
When you’re building Data Science and Analytics capabilities, you need a solid scaffolding you can rely on. This is the Guerrilla Analytics operating model.