Even data-driven organizations fall prey to confirmation bias when analysts seek, interpret, and remember data that supports pre-existing beliefs while ignoring contradictory evidence. Davenport's research shows that teams given the same dataset reach conclusions aligned with their prior hypotheses 73% of the time. The article prescribes adversarial analysis practices, blind data exploration, and red team reviews that systematically challenge analytical conclusions before they inform decisions.