A comprehensive collection of the field’s most provocative, influential new work, Business Forecasting: Practical Problems and Solutions compiles important literature into a single, comprehensive reference for forecast modeling and process improvement. Authored by Michael Gilliland, this book is packed with ideas from forecasting researchers and practitioners on topics including accuracy metrics, benchmarking, modeling of problem data, and overcoming dysfunctional behaviors. Its coverage includes often-overlooked issues at the forefront of research, such as uncertainty, randomness, and forecastability, as well as emerging areas like data mining for forecasting.

The articles present critical analysis of current practices and consideration of new ideas, providing practitioners with a comprehensive examination of the current state of the business forecasting field. Forecasting performance is ultimately limited by the ‘forecastability’ of the data; this book offers a wealth of ideas for improving all aspects of the process, including the avoidance of wasted efforts that fail to improve (or even harm) forecast accuracy.

Published in December 2015 by Wiley and part of the Wiley and SAS Business Series, Business Forecasting is an essential resource for anyone involved in business forecasting, offering a blend of formal, rigorous pieces and brief introductory chapters to guide readers through the complexities of the field.

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