What it can do for your business

IBM SPSS Forecasting provides advanced capabilities that enable both novice and experienced users to develop reliable forecasts using time-series data. Users 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.

This module is included in the SPSS Professional and Premium packages. It is available at an additional cost for the Base and Standard packages.

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.

Share data in other files and formats

Integrate data and results in other applications. Write output in HTML or XML formats for posting on corporate intranets. You can also save models as SPSS Statistics data files.

Product images

Expert Modeler Criteria:  Model settings
Expert Modeler Criteria: Model settings
Temporal Causal Modeling: Model Options
Temporal Causal Modeling: Model Options
Models settings
Models settings

Buy now and get started