Predictive analytics is the study of historical and current data to make future predictions. It uses a blend 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 of their products, weather stations use it to forecast the weather, and stock brokers use it to maximize trading returns.

Learn how predictive analytics fits with other types of data analysis discussed below, and integrate these capabilities with generative AI solutions to deliver business value.

Descriptive analysis identifies what 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, enabling businesses to optimize decision-making

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