Most business problems don’t appear suddenly. Declining sales, customer churn, system failures, and operational losses usually show warning signs long before they cause serious damage. The challenge is that many organizations fail to recognize these signals in time. This is where data science plays a critical role. By analyzing historical and real-time data, data science enables companies to predict problems early and take preventive action instead of reacting after losses occur.