Using SAS Forecast Server Procedures Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

This Using SAS Forecast Server Procedures training course provides skills to create and manage a complete forecasting system using the SAS Forecast Server procedures, giving you the power to confidently plan your business operations.

By attending Using SAS Forecast Server Procedures workshop, delegates will learn to:

Process time series data
Automate the forecasting of the majority of your series in a large-scale forecasting process
Handle exceptions by adding custom models and selection lists to a model repository
Create and manage event variables and event variable data sets to use as inputs to forecast models
Implement best practices in model selection, data hierarchy construction, and statistical forecast reconciliation processes.

Experience using a product such as microsoft excel to enter or transfer data and to perform elementary analyses such as computing row and column totals and averages, and producing charts and plots
Experience with time series data and modeling
Attend a training on Sas programming or have equivalent experience.
Experience with quantitative analysis.
Forecasting experience is helpful but not required.

The Using SAS Forecast Server Procedures class is ideal for:

Experienced data scientists and analytic leads who want to learn to develop scripts in the SAS Forecast Server programming language to build, maintain, and optimize the performance of their forecasting system

Introduction

Motivation: the large-scale forecasting problem

Exploring and processing timestamped data

Accumulation: transforming transactional data into time series data
Handling missing and zero-valued intervals
Aggregation: building the data hierarchy
Two feasible data layouts for sas forecast server
Using the timedata procedure
Identifying systematic variation in the data
A sas toolbox for exploring time series data

The design of sas forecast server-based forecasting software

The design of sas forecast server-based forecasting software
Functionality overview: system inputs and automatic model selection

Diagnosing and selecting models automatically

Hpfdiagnose procedure: automatic model specification
Model selection lists and automatic model selection

Creating custom models and managing model lists

Creating custom models: hpfxxxspec procedures
Creating and managing model selection lists: hpfselect procedure

Using the events functionality

Creating and managing event variables: hpfevents procedure
Using the hpfevents procedure: extensions and further details

Reconciling statistical forecasts

Basic forecast reconciliation using the hpfreconcile procedure
Disaggregation methods in forecast reconciliation

Producing, assessing, and modifying forecasts

Honest assessment
Preparing to generate forecasts: accumulation and aggregation of the data
Preparing to generate forecasts: creating custom models, diagnosing models, and building a model selection list
Generating forecasts: automatic model selection and forecast outputs
Assessing system accuracy and generating reconciled forecasts

Rolling the forecasting system forward in time

Forecasting by exception
Assessing model degradation
Handling data updates and structural changes

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Using SAS Forecast Server Procedures

COURSE AGENDA