Small and midsize businesses often depend on simplistic forecasting systems and spreadsheets that can't handle large data volumes and support only a few basic forecasting methods. SAS offers an affordable, easy-to-use solution that gives you advanced forecasting capabilities in a PC environment. The solution selects the most appropriate forecasting method from a comprehensive model repository that includes a full range of forecasting methods – enabling forecasters to automatically generate reliable forecasts without any manual programming or reliance on IT.
Get reliable forecasts without manual coding.
Across multiple products and locations, and at all levels of aggregation, the solution automatically builds the most appropriate models for your data to deliver reliable forecasts – while minimizing errors due to human intervention, bias or lack of expertise.
Make faster, better decisions with manageable forecasting processes.
By making large forecasting processes easier to manage, the solution allows analysts to focus on the most important forecasts and on other value-added analysis and reporting tasks.
Plan future events more realistically.
Based on variables that you supply in the modeling process, the software automatically selects business drivers, holidays or events to generate forecasts that reflect the intricacies of your business and the drivers of the forecast behavior.
Assess uncertainty and risk in forecasts.
By indicating a statistical and visual range of likely outcomes instead of just providing a point forecast, the solution enables users to assess uncertainty and risk in the forecast – and make decisions accordingly.
Provide ease of use to all skill levels.
The solution's convenient, wizard-driven GUI gives novice users state-of-the-art forecasting methods without requiring any manual programming or knowledge of time-series models – yet it has all the power and sophistication that more advanced analysts need.
- Automatic forecasting.
- Unlimited model repository.
- Easy-to-use graphical user interface.
- Data preparation.
- Event-modeling console.
- What-if analysis and scenario planning.