This course prepares you to generate large volumes of forecasts automatically using the SAS Forecast Studio interactive interface. This course includes practice data and exercises.
This course supports both the desktop and client/server versions. Additional topics for students that license the client/server version of SAS Forecast Studio include producing reports using sample stored processes and a demonstration of SAS Time Series Studio.
The self-study e-learning includes:
Annotatable course notes in PDF format.
Virtual Lab time to practice.
automatically create and fit custom forecast models to large-scale time series data sets
identify series that do not have acceptable forecast accuracy
refine forecast models to improve forecast accuracy
reconcile hierarchical forecasts
generate forecast data sets for deployment
accommodate data updates in large-scale time series data sets.
Who Can Benefit
Forecasters and analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticals
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.
Introduction to SAS Forecast Studio
Forecasting Using the Default Functionality in SAS Forecast Studio
creating a SAS Forecast Studio project
accuracy statistics and forecast model selection
families of models supported and functionality issues
statistical forecast reconciliation
accumulation and aggregation options
manual overrides to reconciled forecasts
Model Refinement One Series at a Time
custom models: generated and pre-specified
Generating Best Forecasts in Hierarchically Arranged Data
outlier variables and other model inputs
creating and using event variables based on calendar effects
generated data sets
accommodating data updates
Project Monitoring and Selected Topics
tools for project maintenance and management
alternative assessment approaches
combined model forecasts
using stored processes to produce reports
discussing sample stored processes that are provided with the client/server version of SAS Forecast Server
SAS Time Series Studio
using SAS Time Series Studio to aid in the data creation process
https://www.exitcertified.com/training/sas/advanced-analytics/forecasting-econometrics/-52889-detail.htmlFST42Forecasting Using SAS(R) Forecast Server Softwarehttps://assets.exitcertified.com/assets/CourseImages/6930191858/AdobeStock_199530940__FitMaxWzEwMDAsMTAwMF0.jpg1600.00USDInStock/Training/SAS/Advanced Analytics/Forecasting and EconometricsThis course prepares you to generate large volumes of forecasts automatically using the SAS Forecast Studio interactive...1600.00SASClassroom2017-03-31T21:22:50+00:00USD