Which method is primarily used in predictive analytics to improve decisions in businesses?

The chosen answer highlights the importance of analyzing historical data to make predictions about future trends, which is a core component of predictive analytics. This method leverages past information, capturing patterns and relationships that help in forecasting outcomes. By investigating historical data, businesses can identify trends, seasonality, and correlations that inform decision-making processes and strategies for future actions.

Descriptive statistics alone does not provide predictive capability; it simply summarizes or describes data characteristics without making forecasts. Random sampling techniques are valuable for gathering data but do not directly involve predictive modeling. Lastly, focus group interviews can provide qualitative insights but lack the quantitative rigor necessary for making informed predictions based on historical data trends. Thus, the analysis of historical data serves as a foundation for predictive analytics, making it crucial for businesses looking to enhance their decision-making processes.