Forecasting Using SAS Forecast Server Software
Duration: 1.0 day
Course fee: $725
EPTO units: 1.4
CEUs: 0.6
| |
|
 |
|
This course prepares you to generate large volumes of forecasts automatically using the SAS Forecast Studio interactive interface.
Learn how to
- automatically fit forecast models to large-scale time series data sets
- identify series that do not have acceptable forecast accuracy
- specify custom models to improve forecast accuracy
- reconcile hierarchical forecasts
- produce reports using stored processes
- generate forecasts for deployment.
Who should attend
Forecasters and analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticals
Expand All
Collapse All
Print version
Prerequisites
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.
Course Contents
Forecasting Using SAS Forecast Studio
- producing accurate forecasts using SAS Forecast Studio
Hierarchical Forecasting
- forecasting your data in a hierarchy
- reconciling hierarchical forecasts
- working with inputs
Producing Reports
- producing reports using stored processes
Software
This course addresses SAS Forecast Server, SAS/STAT. This course also addresses the SAS Forecast Studio graphical interface.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
Share Your Thoughts
Are there additional topics you'd like for this course to address?
Would you like for this course to be offered at another training facility?
Let us know by adding to our
Interest List.
This page was created using SAS software.
|