Predictive analytics in business intelligence applies statistical algorithms, machine learning techniques, and historical data to forecast future outcomes and identify trends. It sits at the intersection of data science, BI tools, and business strategy, transforming raw data into actionable foresight that drives proactive decision-making. Unlike descriptive analytics that explains what happened, predictive analytics answers what will likely happen and why. The key mental model to remember: predictive analytics builds mathematical representations of reality (models) that capture patterns from the past to project into the future—but model quality depends entirely on data quality, feature selection, and validation rigor.