Business Forecasting: Practical Problems and Solutions - Rilegato

Gilliland, Michael

 
9781119224563: Business Forecasting: Practical Problems and Solutions

Sinossi

This title provides many of the most important and though-provoking articles by the leading business forecasting practitioners and academics. It exposes the reader to many of the best minds (and most provocative ideas) in the forecasting profession, with thorough referencing to related material for further reading. It provides:

  • A critical look at many of the vexing problems in business forecasting, such as volatility, forecastability, performance metrics, and human interaction in the forecasting process.
  • Introduces emerging new approaches such as combining data mining with forecasting and aggregating/reconciling across time hierarchies.
  • Addresses the often overlooked topic of data preparation and data quality (part of the "pre-processing" of data prior to forecasting.
  • Covers the proven (yet rarely used) method of combining forecasts to improve accuracy.
Contains a mix of more formal/rigorous pieces, with brief chapters (adapted from blog posts) dealing narrowly with very specific topics.

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Informazioni sull'autore

MICHAEL GILLILAND is Marketing Manager for SAS forecasting software, editor of the Forecasting Practice section ofForesight: The International Journal of Applied Forecasting, and author ofThe Business Forecasting Deal. He has published articles in Supply Chain Management Review, Journal of Business Forecasting, Analytics, Supply Chain Forecasting Digest, APICS Magazine, Swiss Analytics Magazine, andForesight. Mike holds a BA in Philosophy from Michigan State University, and Master's degrees in Philosophy and Mathematical Sciences from Johns Hopkins University. Follow his blog,The Business Forecasting Deal, at blogs.sas.com/content/forecasting.

LEN TASHMAN is the founding editor of Foresight: The International Journal of Applied Forecasting, now in its 10th year of publication. He serves on the Board of Directors of the International Institute of Forecasters and is organizer and chair of the Forecasting in Practice Track at the annual International Symposium on Forecasting. Len is an emeritus professor of business administration at the University of Vermont and Director of the Center for Business Forecasting.

UDO SGLAVO is Senior Director of Predictive Modeling R&D at SAS Institute. His team develops industry-leading and award-winning software for data mining, machine learning, and large scale automatic forecasting. He has published articles inAnalytics, and is a contributor to The Business Forecasting Deal blog. Udo has served on the practitioner advisory board ofForesight, and holds a diploma in mathematics from University of Applied Sciences, Darmstadt, Germany.

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Praise for BUSINESS FORECASTING

"This book is the survivor's guide for business forecasters. It covers a wide range of need-to-know topics from 'what is demand' to 'why should I trust your forecast.'"
Scott Roy, Collaboration Planning Manager, Wells Enterprises Inc.

"This is a tremendous compilation from some of the best forecasting analytics and business minds of today. A reference that should be on the shelf of anyone whose job is to develop forecasts."
Jim Ferris, Director of Supply Chain Analytics, Clarkston Consulting

"Finally, a book tailored to business forecasting that is comprehensive for everything from data gathering to the art and politics of explaining why we are wrong!"
Eric Wilson, Director, Demand Planning and S&OP, Tempur Sealy International

"In spite of my many years in forecasting and planning, the reading was so captivating that I could not stop before it was over. Absolutely a 'must-read' for every person working in business forecasting."
Igor Gusakov, Consulting Director, Goodsforecast

"This book is a wonderful compendium of demand planning and S&OP insights drawn from some of the best minds and practitioners in the industry."
Patrick Bower, Senior Director, Global Supply Chain Planning & Customer Service, Combe Incorporated

"The editors do an excellent job of introducing a broad set of topics critical for deploying and maintaining a successful forecasting process within an organization."
Sam Iosevich, Managing Principal, Prognos

"I would definitely recommend this reader as a key resource for those looking to learn more or to have knowledge at their fingertips for that moment when they need a refresher."
Curtis Brewer, Forecasting Manager, Bayer CropScience

"This terrific compilation of writingsfrom virtually all of the big names in the forecasting communityproves that innovation in forecasting is vibrant."
Rob Stevens, Vice President, First Analytics

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In Business Forecasting, editors Michael Gilliland, Len Tashman, and Udo Sglavo have assembled in one comprehensive resource the most influential studies and writings in applied forecasting. The expert contributors focus on recent discoveries and reveal new methods and approaches in forecasting as well as touch on many controversial topics. Throughout the book, the authors emphasize the fact that enlightened forecasting management (not just fancy new algorithms) is the best way to improve forecasting practice. This valuable collection gives forecast analysts, demand planners, and anyone involved in the forecasting process a practical and thought-provoking guide for forecast modeling and process improvement.

Designed to be practical, Business Forecasting explores the fundamental issues of forecasting and contains approaches for avoiding errors, methods for obtaining valid benchmarks, and shows how to use forecasting to steer business on the right course. The authors include information on methods of statistical forecasting and reveal how to select a statistical forecasting level and enhance forecasting by using the data mining tactic. In addition, the text puts the spotlight on performance evaluation and reporting and offers suggestions for tracking forecast accuracy and applying the use of scaled errors in addition to percentage errors in order to monitor forecasting accuracy. The text also contains a thorough review of the overall forecasting process and information on the inevitable politics involved in business forecasting.

To help hone forecasting skills, this vital resource covers a wide range of essential tools and topics such as employing accuracy metrics, applying quality assessments, modeling problem data, and overcoming dysfunctional behaviors. The authors also review typically overlooked issues including uncertainty, randomness, and forecastability, as well as offer an examination of emerging areas like forecast value added analysis.

Business Forecasting is your hands-on guide to the latest developments in the field and contains an array of tools that can enable better processes and improved results.

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