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Profit from Your Forecasting Software
John Wiley & Sons Inc
Druk vanaf
222 pp.
Informatica & Exacte vakken
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Profit from Your Forecasting Software

A Best Practice Guide for Sales Forecasters

Whether you're a forecasting software power-user with a deep understanding of statistical modeling, or a relative innumerate who has had the job of forecasting thrust upon you, you understand that any software is only as good as its user. No matter how sophisticated the software you use, the accuracy of your forecasts relies greatly upon the "X Factor," of human intuition, and the nuanced judgment calls that only a person can make.

Should I overrule the system's forecast? How do I interpret the most recent output? How much legacy data do I need to input in order to leverage, to the fullest, a specific method in my software? These are among the myriad questions with which forecasters commonly wrestle and for which, until now, there was little or no expert guidance available in book form.

While there are many books on forecasting, ranging from academic treatises to statistical modeling to nuts-and-bolts technical manuals, this is the first and only book devoted to the common everyday issues forecasters face. Taking an intuitive, non-mathematical approach, Professor Goodwin discusses the advantages and disadvantages of various forecasting techniques for a wide range of business uses. He explains how to interpret and evaluate your software's output. And he provides expert guidance on when and how to inject your judgment into the forecasting process. In addition, he demystifies important concepts such as seasonal indices, smoothing coefficients, mean absolute percentage error, and r-squared. And he explores the ways in which psychological biases can influence forecasters' judgments.

The first and only book devoted to understanding and successfully deploying the "X Factor" of business forecasting, Profit from Your Forecasting Software is an indispensable working resource for sales forecasters, demand planners, and analysts, regardless of the industries they work in or their levels of mathematical sophistication.


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