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OM 614 and BA 649 Forecasting Resources

Business Forecasting for Managers

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Selected e-books on forecasting and tools (Excel)

Cover image of Forecasting Fundamentals

Forecasting Fundamentals

"Accurate forecasts are essential for identifying new market opportunities, forecasting risks, events, supply chain disruptions, innovation, competition, market growth, and trends. It also includes the ability to conduct "what-if " analysis to understand the tradeoff implications of decisions. Companies can navigate this daunting landscape and improve their forecasts by following some well-established principles and bearing in mind certain caveats to conventional wisdom. This book is written to provide the fundamentals business leaders need in order to make good forecasts. These fundamentals hold true regardless of what is being forecast and what technology is being used. This book provides the basic foundational principles all companies need to achieve competitive forecast accuracy." (Source: Business Expert Press)

Image of ebook cover titled Excel Data Analysis for Dummies

Excel Data Analysis for Dummies

Cover items such as straight-line, simple linear regression, moving average, etc.

Image of Seeing the Future : How to Build Basic Forecasting Models

Seeing the Future : How to Build Basic Forecasting Models

"If you are a business person, who desires to forecast demands and sales, or a researcher, who wishes to predict a future event, this textbook is for you. The book is also written for upper-division undergraduate students, first year MBA students, and other readers who wish to acquire fundamental knowledge of quantitative forecasting. A team of fictional characters is introduced to enhance your learning experience. They comprise two instructors and 10 students. They will share their learning and working experiences with you. The book emphasizes applied aspects of forecasting, so the only prerequisites for the course are high-school statistics and college algebra. The book discusses most of the forecasting methods frequently used in practice. All in-book analyses are accompanied by numerical examples that can easily be performed on a handheld calculator or Microsoft Excel, which is the only technical software required for all demonstrations and exercises in the book. Two Excel folders are provided without charge on the BEP website. The first folder, Excel Demos, comprises all Excel files to reproduce the demonstrations in this book, including the data and commands in the cells corresponding to the ones in the text. The second folder, Exercise Data, consists of all data for the exercises in the book. A folder including all solutions to the exercises is available to instructors once a book order is placed." Source: Business Expert Press

Cover image of Applied Time Series Analysis A Practical Guide to Modeling and Forecasting

Applied Time Series Analysis A Practical Guide to Modeling and Forecasting

Written for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis technique across disciplines. Carefully balancing accessibility with rigor, it spans economics, finance, economic history, climatology, meteorology, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged down by excessive technical details. Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others. (Source: Elsevier)

Cover of Demand forecasting for managers

Demand forecasting for managers

Most decisions and plans in a firm require a forecast. Not matching supply with demand can make or break any business, and that is why forecasting is so invaluable. Forecasting can appear as a frightening topic with many arcane equations to master. We therefore start out from the very basics and provide a nontechnical overview of common forecasting techniques as well as organizational aspects of creating a robust forecasting process. We also discuss how to measure forecast accuracy to hold people accountable and guide continuous improvement. This book does not require prior knowledge of higher mathematics, statistics, or operations research. It is designed to serve as a first introduction to the nonexpert, such as a manager overseeing a forecasting group, or an MBA student who needs to be familiar with the broad outlines of forecasting without specializing in it. (Source: Business Expert Press)

Cover of Business Analytics: A Data-Driven Decision Making Approach for Business, Volume I

Business Analytics: A Data-Driven Decision Making Approach for Business, Volume I

This book is about Business Analytics (BA)--an emerging area in modern business decision making. The first part provides an overview of the field of Business Intelligence (BI) that looks into historical data to better understand business performance thereby improving performance, and creating new strategic opportunities for growth. (Source: Business Expert Press)