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Principles of Business Forecasting by J. K. Ord,Robert Fildes Pdf
Ord/Fildes PRINCIPLES OF BUSINESS FORECASTING, 1E, International Edition is designed for both students and current practitioners in a variety of fields. The authors’ motivation for writing this book is to give users the tools and insight to make the most effective forecasts. Ord/Fildes PRINCIPLES OF BUSINESS FORECASTING, 1E, International Edition is designed for users who have taken a first course in applied statistics or have an equivalent background and provides an introduction to both standard and advanced forecasting approaches. This new, first edition text presents general principles that are the basis of forecasting practice. The information and data used are from actual government and business sources wherever possible. Forecasting techniques are shown in a variety of software platforms and the chapter organization provides an overview of forecasting in a variety of situations using time series and cross-sectional data. The focus then shifts to using extrapolative methods in forecasting, followed by statistical model-building. Finally, the authors cover more advanced techniques in the latter chapters, including the selection of the best forecasting method based on available data and the construction of a forecasting system with an organization.
Principles of Business Forecasting by Keith Ord,Robert Fildes Pdf
Ord/Fildes PRINCIPLES OF BUSINESS FORECASTING, 1E serves as both a textbook for students and as a reference book for experienced forecasters in a variety of fields. The authors' motivation for writing this book is to give users the tools and insight to make the most effective forecasts drawing on the latest research ideas. Ord and Fildes have designed PRINCIPLES OF BUSINESS FORECASTING for users who have taken a first course in applied statistics or who have an equivalent background. This book introduces both standard and advanced forecasting methods and their underlying models, and also includes general principles to guide and simplify forecasting practice. A key strength of the book is its emphasis on real data sets, taken from government and business sources and used in each chapter's examples. Forecasting techniques are demonstrated using a variety of software platforms and the companion website provides easy-to-use Excel macros to support the basic methods. After the introductory chapters, the focus shifts to using extrapolative methods (exponential smoothing and ARIMA) and then to statistical model-building using multiple regression. The authors also cover more novel techniques including data mining and judgmental methods, which are gaining increasing attention in applications. Finally, they examine organizational issues of implementation and the development of a forecasting support system within an organization. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Forecasting: principles and practice by Rob J Hyndman,George Athanasopoulos Pdf
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
This handbook summarises knowledge from experts and empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. Includes a comprehensive forecasting dictionary.
Business Forecasting by Michael Gilliland,Len Tashman,Udo Sglavo Pdf
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
The recent crisis in the financial markets has exposed serious flaws in management methods. The failure to anticipate and deal with the consequences of the unfolding collapse has starkly illustrated what many leaders and managers in business have known for years; in most organizations, the process of forecasting is badly broken. For that reason, forecasting business performance tops the list of concerns for CFO's across the globe. It is time to rethink the way businesses organize and run forecasting processes and how they use the insights that they provide to navigate through these turbulent times. This book synthesizes and structures findings from a range of disciplines and over 60 years of the authors combined practical experience. This is presented in the form of a set of simple strategies that any organization can use to master the process of forecasting. The key message of this book is that while no mortal can predict the future, you can take the steps to be ready for it. ’Good enough’ forecasts, wise preparation and the capability to take timely action, will help your organization to create its own future. Written in an engaging and thought provoking style, Future Ready leads the reader to answers to questions such as: What makes a good forecast? What period should a forecast cover? How frequently should it be updated? What information should it contain? What is the best way to produce a forecast? How can you avoid gaming and other forms of data manipulation? How should a forecast be used? How do you ensure that your forecast is reliable? How accurate does it need to be? How should you deal with risk and uncertainty What is the best way to organize a forecast process? Do you need multiple forecasts? What changes should be made to other performance management processes to facilitate good forecasting? Future Ready is an invaluable guide for practicing managers and a source of insight and inspiration to leaders looking for better ways of doing things and to students of the science and craft of management. Praise for Future Ready "Will make a difference to the way you think about forecasting going forward" —Howard Green, Group Controller Unilever PLC "Great analogies and stories are combined with rock solid theory in a language that even the most reading-averse manager will love from page one" —Bjarte Bogsnes, Vice President Performance Management Development at StatoilHydro "A timely addition to the growing research on management planning and performance measurement." —Dr. Charles T. Horngren, Edmund G. Littlefield Professor of Accounting Emeritus Stanford University and author of many standard texts including Cost Accounting: A Managerial Emphasis, Introduction to Management Accounting, and Financial Accounting "In the area of Forecasting, it is the best book in the market." —Fritz Roemer. Leader of Enterprise Performance Executive Advisory Program, the Hackett Group
This book is for everyone who wants to make better forecasts. It is not about mathematics and statistics. It is about following a well-established forecasting process to create and implement good forecasts. This is true whether you are forecasting global markets, sales of SKUs, competitive strategy, or market disruptions. Today, most forecasts are generated using software. However, no amount of technology and statistics can compensate for a poor forecasting process. Forecasting is not just about generating a number. Forecasters need to understand the problems they are trying to solve. They also need to follow a process that is justifiable to other parties and be implemented in practice. This is what the book is about. Accurate forecasts are essential for predicting demand, identifying new market opportunities, forecasting risks, disruptions, innovation, competition, market growth and trends. Companies can navigate this daunting landscape and improve their forecasts by following some well-established principles. 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. It provides the basic foundational principles all companies need to achieve competitive forecast accuracy.
The Nine Principles of Agile Planning by David Pabst Pdf
The Nine Principles of Agile Planning teaches CFOs, CAOs, CIOs, and Finance leaders the secret to building nimble and dynamic forecasts within their organizations. The Nine Principles blend real-world processes, people, and cloud tech to get your business forecasting the right way. By adopting the Nine Principles, you can create world-class forecasting that reacts to real-time changes in your business and reduces risk. You will be a forecasting hero! Too many CFOs and Finance teams fail their organizations with slow and cumbersome forecasting and budgeting cycles that have limited adoption beyond Finance. Management consultants, software vendors, and your stakeholders have ideas to fix—but you need something game-changing. The Nine Principles of Agile Planning are the game-changer you need! Investing in a new forecasting process will take money, people, and time, with a significant opportunity cost of not working on other things. This investment is no different from developing a new product, building a factory, or hiring staff. Any business investment like this must earn an ROI. The Nine Principles of Agile Planning is a framework to give you the greatest chance of success of achieving this ROI by building a forecasting process to provide real operational value that helps run the organization on a day-to-day basis. Learn the latest strategies from getting forecasting closer to your front line business teams, linking variable items to operational activity levels, planning by initiative, evaluating strategic big-bets, using modular planning, choosing a modern cloud planning tool, finding an expert, getting away from financial statement-centered forecasting, and using real-time IoT data to build operational early-warning systems. Make forecasting easy for your users by adopting the latest automation technologies and learn how you can automatically alert your planners when there is a trend that requires their attention. If you are evaluating cloud planning technologies from Adaptive Insights, Anaplan, OneStream, Oracle EPM (Hyperion), Planful, or SAP, the Nine Principles is the must-read guide to select the right tools, processes, and consultants to create agile and nimble planning in your organization. Use this chance to develop an Agile Planning philosophy that encourages rapid development of plans that can be quickly iterated, are easy to understand, and actionable. Take advantage of the golden age of cloud-based planning tools to facilitate these Agile Planning objectives. Create world-class budgeting and forecasting by adopting the Nine Principles! The Nine Principles of Agile Planning provides strategies to address issues like: - Lack of budgeting and forecasting adoption in your organization. - Forecasts that are slow to update and frequently wrong. - Decision-makers are ignoring Finance’s forecasts. - Forecasting is focused on Finance and not front-line business leaders. - Out-dated planning technology that is inflexible and hard to use for non-Finance users. - Treating all elements of your business equally during forecasting. - Planning using too much detail. - Using inefficient planning methodologies approaches. - Not using real-world initiatives to drive organizational change. - Failing to use real-world operational activity levels to inform financial forecasts. - Making the planning process too time-consuming and challenging. - Not integrating new real-time IoT data sources to build forecasting early-warning systems. - Failing to tailor planning to each operational function.
Demand Management Best Practices by Colleen Crum,George E. Palmatier Pdf
Effective demand management is becoming critical to acompany's profitability. Demand Management BestPractices: Process, Principles, and Collaborationprovides best practice solutions that will improveoverall business performance for supply chain partnersand all functions within a company impacted by the demandmanagement process. The ......
Principles of Forecasting: A Handbook for Researchers and Practitioners summarizes knowledge from experts and from empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. It applies to problems such as those in finance (How much is this company worth?), marketing (Will a new product be successful?), personnel (How can we identify the best job candidates?), and production (What level of inventories should be kept?). The book is edited by Professor J. Scott Armstrong of the Wharton School, University of Pennsylvania. Contributions were written by 40 leading experts in forecasting, and the 30 chapters cover all types of forecasting methods. There are judgmental methods such as Delphi, role-playing, and intentions studies. Quantitative methods include econometric methods, expert systems, and extrapolation. Some methods, such as conjoint analysis, analogies, and rule-based forecasting, integrate quantitative and judgmental procedures. In each area, the authors identify what is known in the form of `if-then principles', and they summarize evidence on these principles. The project, developed over a four-year period, represents the first book to summarize all that is known about forecasting and to present it so that it can be used by researchers and practitioners. To ensure that the principles are correct, the authors reviewed one another's papers. In addition, external reviews were provided by more than 120 experts, some of whom reviewed many of the papers. The book includes the first comprehensive forecasting dictionary.
