Predictive Analytics

Predictive analytics uses statistical modeling, data mining, and machine learning to analyze historical and real-time data in order to forecast future events. Common techniques include regression analysis, decision trees, neural networks, and time series analysis. By identifying correlations and patterns, predictive analytics estimates the probabilities of specific outcomes, helping organizations mitigate risks and optimize opportunities. To be effective, it requires high-quality data, careful feature engineering, thorough model validation, and ongoing performance monitoring to maintain predictive accuracy over time.