Choose an appropriate forecasting model. Optimize parameters. And produce huge volumes of high-quality forecasts. All automatically. With our forecasting software, there's no need for human intervention unless desired.
Perform large-scale forecasting – no coding required.
Don't write code – unless you want to.
Get easy access to our powerful forecasting software with the SAS Forecast Studio GUI. No need to manually code your models. And because our solution operates in both interactive and batch environments, user skills and needs determine whether the interface or a batch job is appropriate. More advanced users can access even more capabilities using the SAS programming language.
Reduce the chance of personal bias.
Generate millions of statistically based, trustworthy forecasts automatically. Because large forecasting processes are more manageable, analysts can focus on the most important (or problematic) forecasts. Large-scale automation also means less manual intervention. This reduces the chance that organizational politics or personal agendas will contaminate the forecasts.
Deliver forecasts that reflect reality.
The software automatically selects specific drivers, holidays or events that can affect the business forecasting process, so your forecasts better reflect the intricacies of your business. The most appropriate model for your data is built automatically, resulting in forecasts that are as accurate as can reasonably be expected, given the nature of the behavior being forecast.
Plan more effectively for the future.
A virtually unlimited model repository makes it possible to create more appropriate forecasting models for a wider range of behaviors. Planners can test what-if scenarios and determine how they are likely to affect future demand. And graphics help you visualize the effects of holidays, sales promotions and unexpected events so you can better plan future activities.
Check out these products related to SAS Forecast Server, built on the powerful SAS® Platform.
- SAS/ETS®Model, forecast and simulate business processes using econometric capabilities, time series analysis and time series forecasting.
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