Predictive analytics is the study of historical and current data to make future predictions. It uses a mixture of advanced mathematical, statistical, and machine learning techniques to analyze data to determine and extrapolate hidden trends. Many businesses and organizations use predictive analytics to guide future decisions. For example, marketing analysts use predictive analytics to determine future sales for their products, weather stations use it to forecast weather, and stockbrokers use it to maximize trading returns.

Learn how predictive analytics fit with other types of data analytics shown below, plus integrating these capabilities with Generative AI solutions to produce business value.

Descriptive Analytics identifies what has happened in the past through historical analysis

Diagnostic Analytics uses historical data to explain why something happened in the past

Predictive Analytics predicts future trends based on patterns found in historical and current data

Prescriptive Analytics prescribes future actions and decisions, allowing businesses to optimize decision-making

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