Analytical models are mathematical representations used to understand and predict complex systems or processes. They help in breaking down real-world problems into simpler components, allowing for analysis and decision-making based on data. These models can be applied in various fields, including economics, engineering, and healthcare. By using statistical techniques and algorithms, analytical models can identify patterns and relationships within data. This enables organizations to optimize operations, forecast trends, and improve outcomes. Common types of analytical models include regression analysis, time series analysis, and simulation models, each serving specific purposes in data analysis and interpretation.