Preprocessing is vital because it directly impacts the quality of business intelligence and analytics. Clean and well-organized data leads to more accurate insights, which can drive better decision-making. Without preprocessing, businesses risk basing their strategies on faulty or incomplete information, potentially leading to inefficiencies and poor outcomes.