Product Marketing Manager, SAS
Michael Gilliland is Marketing Manager for SAS forecasting software, prior to which he held forecasting positions in the food, consumer electronics, and apparel industries. Mike is author of The Business Forecasting Deal (2010), principal editor of Business Forecasting: Practical Problems and Solutions (2015), writes The Business Forecasting Deal blog at blogs.sas.com/content/forecasting, is Associate Editor of Foresight: The International Journal of Applied Forecasting, 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. He is interested in issues relating to forecasting process, such as worst practices and Forecast Value Added analysis, and in applying research findings to real-life improvement in business forecasting.
By This Author
Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning
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
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.
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.