Forecasting Using SAS(R) Forecast Server Software

Course code: FST42

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.

720 EUR

871 EUR including VAT

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Course dates

Starting date: Upon request

Type: E-learning

Course duration: 14 hours

Language: en

Price without VAT: 720 EUR

Starting date: Upon request

Type: Upon request

Course duration: 14 hours

Language: en

Price without VAT: 1 200 EUR

	Starting date	Type	Course duration	Language	Price without VAT
	Upon request	E-learning	14 hours	en	720 EUR	Register

	Upon request	Upon request	14 hours	en	1 200 EUR	Register
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Target group

Forecasters and analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticals

Course structure

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
scenario analysis

Hierarchical Forecasting

hierarchical forecasting
statistical forecast reconciliation
accumulation and aggregation options
reconciliation effects
manual overrides to reconciled forecasts

Model Refinement One Series at a Time

custom models: generated and pre-specified
event variables

Generating Best Forecasts in Hierarchically Arranged Data

honest assessment
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

Producing Reports

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

Prerequisites

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.

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