Advanced Analytics & Data Science
Leveraging Statistical Methods and Predictive Models
Sophisticated analytical techniques for prediction, optimization, and experimentation. Covers predictive modeling, statistical analysis, experimentation frameworks, feature engineering, and data science workflows. Maturity evolves from ad-hoc analysis by specialists to systematic, repeatable processes integrated into business operations.
Insights
Most Companies Waste 80% of Their A/B Testing Budgets
Examines how leading organizations systematically test assumptions through A/B testing, multivariate experiments, and rapid iteration. Covers platform requirements, statistical rigor, organizational enablers, velocity metrics, scaling experimentation beyond digital products, and creating a culture where testing is the default.
Why Most Companies Can't Tell If Their Decisions Actually Work
Explores techniques that enable organizations to understand what drives outcomes, not just what correlates. Covers experimental design, quasi-experimental methods, causal machine learning, synthetic controls, and decision frameworks for when causal understanding justifies additional complexity and investment.