Most revenue data tells you what happened—the final score. Today’s CROs must go further, understanding why outcomes occur: why deals accelerate or stall, how pricing impacts margin, and how talent decisions shape performance. This session explores how CROs can move beyond fragmented reporting to a unified, AI-powered approach. By connecting behavioral data (what teams do) with structural data (how the business is designed), leaders can uncover relationships between talent, pricing, execution, and revenue outcomes. We’ll examine revenue governance as a science—bringing discipline to forecasting, pipeline integrity, discounting, and resource allocation. Attendees will learn to identify key revenue levers, link activity to outcomes, and uncover causal relationships that drive repeatable success. The session also tackles a key gap in modern revenue operations: the inability to explain why decisions are made—especially around talent—and how that constrains growth. CROs will leave with a practical framework to turn data into action, refine insights continuously, and align them to measurable revenue impact. Attendees will learn: - How to connect data, talent, and pricing to outcomes - How to prioritise key revenue levers - How to uncover causal insights using AI - How to improve forecast accuracy and margin discipline - How to become a more data-driven CRO At its core, this session reframes data as a strategic asset for smarter decisions and sustainable growth.