What is the goal of predictive analytics?

The goal of predictive analytics is to analyze current data to predict future outcomes. This process involves using statistical methods, machine learning techniques, and data mining processes to identify patterns in historical data and apply these patterns to forecast future events or behaviors. By leveraging this analysis, organizations can make informed decisions, optimize processes, and anticipate trends, ultimately leading to better strategic planning.

While describing past data trends is valuable, it does not encapsulate the essence of predictive analytics, which focuses on forecasting rather than simply summarizing historical data. Formatting data for better understanding and representing it graphically are important steps in data analysis and presentation but are not the main aim of predictive analytics, which centers on predicting future scenarios based on current and historical trends.