Organizations must shift from data-driven to decision-centric models to close the “confidence gap,” with the leaders of the next decade being those who can decide with confidence rather than those holding the most data. Success requires modernizing data foundations, applying contextual analytics, combining human and AI judgment, and executing repeatable decisions. Context—understanding the “why” and interconnections in data—is critical for building trust and enabling confident decision-making at scale, especially in regulated industries.