IBM SPSS FORECASTING

IBM SPSS Forecasting provides advanced capabilities that enable both novice and experienced users to quickly develop reliable forecasts using time-series data. People with less expertise can create sophisticated forecasts that integrate multiple variables, while experienced forecasters can use the software to validate their models. Examples of time-series forecasting include predicting the number of staff required each day for a call center, or forecasting the demand for a particular product or service.

Easily generate forecasting models

Develop reliable forecasts, regardless of the size of the data set or number of variables. Advanced time-series modeling procedures help you create forecasts quickly.

Reduce errors with automated testing

Automate model selection and parameters, and test your data for seasonality, intermittency and missing values.

Communicate results

Deliver high-resolution graphs showing confidence intervals and goodness of fit. Measures include R2, root mean square error, mean absolute error, maximum absolute error and normalized BIC.

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See how it works

See how easy it can be to create accurate forecasts that improve business outcomes.

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IBM SPSS Forecasting - Build expert forecasts in a flash

Forecasts provide a solid foundation for your organization’s planning. IBM® SPSS® Forecasting offers a number of capabilities that enable both novice and experienced users to quickly develop reliable forecasts using time-series data.

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Features spotlight

Guided analysis for novice users
More options for experienced analysts
Model management
Tailored to your business