The document discusses three scenarios where predictive analytics is essential: churn prediction, sentiment analysis, and recommendation. Churn prediction involves using historical customer data and predictive models to identify which customers are most likely to stop using or purchasing a company's products and services. Sentiment analysis determines the attitude or emotional state behind a text through natural language processing. Recommendation systems apply predictive modeling to suggest additional products to customers based on their preferences and behaviors.