Predictive models are mathematical tools used to forecast future outcomes based on historical data. They analyze patterns and relationships within the data to make informed predictions. Common applications include finance, healthcare, and marketing, where businesses aim to anticipate customer behavior or market trends. These models can be built using various techniques, such as regression analysis, decision trees, or machine learning algorithms. By inputting relevant data, predictive models help organizations make strategic decisions, optimize resources, and improve overall efficiency.