Explore the powerful Synthetic Control methodology for measuring intervention impact when A/B testing is not feasible in this 37-minute talk from the Data Science Festival. Discover how Senior Data Scientist Matheus Torquato applied this innovative technique at Jaguar Land Rover to evaluate a new recommendation system for vehicle stock ordering. Learn about the advantages of Synthetic Control in estimating causal effects of policies or programs by constructing a "synthetic" version of a treated unit. Gain insights into persuading stakeholders with data-driven evidence, applicable across academia, industry, and government sectors. Understand how this paradigm-shifting approach can answer crucial questions about policy impacts, marketing campaign effectiveness, and employee training program value.