How to implement a Forecasting Process
This course provides participants the most important best practice in implementing forecasting processes using SAS Software. By analyzing real cases, methods to configure environments, to prepare data, to produce forecast and to manage systems and processes will be provided.
Provides participants with the most important best practice in implementing forecasting processes using SAS Software.
- DATA step programming and basic SAS procedures
- Basilar knowledge of the SAS 9 architecture
- Basilar knowledge of the times series methodology.
SAS Forecast Server platform
Analytical Engines: SAS/HPF and SAS/ETS
Interfaces: SAS Forecast Studio
and SAS Time Series Studio
SAS Forecast Server Architecture
Statistical Methodology Overview
Development best practices