This course prepares you to generate large volumes of forecasts automatically using the SAS Forecast Studio interactive interface. Learn how to:
automatically create and fit custom forecast models to large-scale time series data sets
identify series that do not have acceptable forecast accuracy
refine forecast models to improve forecast accuracy
reconcile hierarchical forecasts
generate forecast data sets for deployment
accommodate data updates in large-scale time series data sets.
Forecasters and analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticals.
Before attending this course, you should:
be familiar with business forecasting problems
have experience with a Windows computing environment
have experience using a product such as Microsoft Excel to enter or transfer data and to perform elementary analyses such as computing row totals, column totals, and averages, and producing charts and plots.
You do not need formal training in forecasting or statistics to benefit from this course. Programming experience is also not required.
Introduction to SAS Forecast Studio
Forecasting Using the Default Functionality in SAS Forecast Studio
• creating a SAS Forecast Studio project
• accuracy statistics and forecast model selection
• families of models supported and functionality issues
• scenario analysis