Forecasting

Forecasting is an automated set of tools for modeling time dependent data.

Forecasting leverages a popular class of exponential smoothing models to discover and model trend, seasonality and time dependence in the observed data. This makes it applicable to a broad range of time series encountered in business and industry. Automated model selection and tuning makes forecasting easy to use, even for the users not familiar with time series modeling. Forecasts and corresponding confidence bounds are very easy to understand when displayed in a visualization as a continuation of historic data. At the same time, core controls allow additional modeling and forecast flexibility. Statistical details for generated models provide technical background information.

For more information, see Forecasting and Forecasting in visualizations.

For a comparison between the forecasting features in Cognos Analytics R4 and R5, see https://community.ibm.com/community/user/businessanalytics/blogs/marco-maas1/2020/01/24/ibm-cognos-analytics-forecasting-comparison-r4-r5.