Online Workshop: Business Forecasting Techniques, Best Practices & Application Using Forecast Pro

Workshop Overview
You will leave this comprehensive three-day educational course with an understanding of forecasting techniques, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods and will cover the following:
How various forecasting methods work,
Pros and cons of each method,
How to implement best practices in Forecast Pro (via demonstrations using real-world examples).

The core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. The workshop also includes 2 weeks of access to the workshop’s streaming channel and a 2-hour office hours session.
The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 4 additional modules not covered in the live sessions. Office hours provide a 2-hour period the week after the live workshop where instructors will be available to answer questions regarding all topics covered in the workshop.

Who should attend?
The workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses.

Agenda

Day 1
Introduction to Forecasting
Exponential Smoothing
Day 2
Extensions to Exponential Smoothing
Forecast Accuracy and Evaluation
Identifying Problems in Your Forecasting Process
Day 3
Event-Index Models
Multiple-Level Forecasting
New Product Forecasting

Office Hours
Questions & Answers

Additional On-Demand Presentations
Components of Data
Box-Jenkins (ARIMA) Models
Forecasting with Machine Learning
Dynamic Regression

Registration

Registration Fee: The registration fee is $495 USD per attendee. A Team Discount price of $395 per attendee is available to organizations registering 3 or more attendees.

Class size: Due to the interactive nature of the live presentations, attendance is limited to 25 and attendees will be registered on a first-come-first-served basis.

Hours: May 9-11, 2023: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). The office hours session will run from 11:00 a.m. to 1:00 p.m on Tuesday, May 16.

Cancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time.

About the Speakers

Eric Stellwagen: Eric Stellwagen is the co-founder of Business Forecast Systems, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field, he regularly presents workshops and publishes on the topic of business forecasting, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping leading organizations to address their forecasting challenges, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. Eric served on the board of directors of the International Institute of Forecasters (IIF) for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting.

Sarah Darin: Sarah Darin has 20  years of experience with statistical consulting, sales forecasting, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries, including Consumer Packaged Goods, Telecommunications, Technology, Retail, Automotive and Finance. Before joining BFS, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices, teaching customers how to efficiently integrate, manage, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University.

Date

May 09 2023 - May 11 2023

Cost

$495

More Info

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Location

Online
Zoom Meetings
Business Forecast Systems

Organizer

Business Forecast Systems
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