SAS Forecast Analyst Workbench
3.7
5

Not Claimed

Create demand-driven, statistical forecasts with an analytics-driven framework that automates and manages the information exchange between everyone involved in the demand forecasting process. Sense demand signals. Predict and shape future demand more accurately. With the combined power of automation, analytics and workflow, you can generate the most unbiased and accurate large-scale demand forecasts.
Developer
SAS
HQ Location
Cary, NC
Year Founded
1976
Number of Employees
15,950

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