Mike Gilliland
Product Marketing Manager, SAS
Prior to his retirement, Michael Gilliland was Marketing Manager for SAS forecasting software. He is the Associate Editor of Foresight: The International Journal of Applied Forecasting, author of The Business Forecasting Deal, and editor of Forecasting with SAS®: Special Collection. He is on the Board of Directors of the International Institute of Forecasters, and in 2017 received the Lifetime Achievement Award from the Institute of Business Forecasting. Mike holds a BA in Philosophy from Michigan State University, and Master’s degrees in Philosophy and Mathematical Sciences from Johns Hopkins University. The archive of his blog The Business Forecasting Deal is available at blogs.sas.com/content/forecasting
By This Author
Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning
By Michael Gilliland, Udo Sglavo, and Len Tashman
This book provides ideas from the most important and influential authors in the field of forecasting on an array of topics that are highly relevant. It provides multiple perspectives on relevant issues like monitoring forecast performance, forecasting process, communication and accountability for the forecast, the use of big data in forecasting, and the role of AI/ML in enhancing traditional time series forecasting methods. Note: Content is mostly material previously published in "practitioner" journals (Foresight and Journal of Business Forecasting), with a few articles from the academic International Journal of Forecasting. Some articles report on academic research, or include case studies, but most are thoughtful discussion of important business forecasting topics, such as the role of the sales force in forecasting, or the value of judgmental overrides to a statistical forecast, or how to determine what forecast error is "avoidable." Articles were chosen for their importance, influence, informativeness, and for being provocative -- leading the reader to new considerations and ideas.
Forecasting with SAS®: Special Collection
Do you want to get the most insight out of your data and improve the quality of your forecasts? SAS offers many different solutions to quickly generate reliable forecasts. This special collection includes papers that explore how to monitor and improve forecasts. You will also learn about the latest features of SAS® Forecast Server, SAS® Visual Forecasting, SAS® Econometrics, SAS/ETS®, and SAS® Enterprise Guide® to help you get the most out of your data.
The Business Forecasting Deal: Exposing Myths, Eliminating Bad Practices, Providing Practical Solutions
By Mike Gilliland
Instead of focusing solely on statistical modeling and forecast accuracy, Michael Gilliland turns your attention to forecasting process efficiency and effectiveness. Through Forecast Value Added analysis, a method that has been employed at several major corporations, this text shows how to identify the waste and inefficiencies in the typical forecasting process.
Business Forecasting Practical Problems and Solutions
By Mike Gilliland, Udo Sglavo and Len Tashman
Business Forecasting provides an expert's-eye view of the field's latest developments to help you achieve your desired business outcomes. This book delivers an array of new tools and research that can enable more efficient processes and more accurate results.
Featured Authors
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.