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    How to Measure Anything - Finding The Value of "Intangibles" in Business

    Douglas Hubbard

    Wiley
    2014
    432 páginas
    14h 24m
    ISBN-13: 9781118539279
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    This insightful and eloquent book will show you how to measure those things in your own business, government agency or other organization that, until now, you may have considered "immeasurable," including customer satisfaction, organizational flexibility, technology risk, and technology ROI. - Adds new measurement methods, showing how they can be applied to a variety of areas such as risk management and customer satisfaction - Simplifies overall content while still making the more technical applications available to those readers who want to dig deeper - Continues to boldly assert that any perception of "immeasurability" is based on certain popular misconceptions about measurement and measurement methods - Shows the common reasoning for calling something immeasurable, and sets out to correct those ideas - Offers practical methods for measuring a variety of "intangibles" - Provides an online database (www.howtomeasureanything.com) of downloadable, practical examples worked out in detailed spreadsheets Written by recognized expert Douglas Hubbard — creator of Applied Information Economics — "How to Measure Anything, Third Edition" illustrates how the author has used his approach across various industries and how any problem, no matter how difficult, ill defined, or uncertain can lend itself to measurement using proven methods.

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    Douglas W. Hubbard

    Douglas Hubbard is a management consultant, speaker, and author in decision sciences and actuarial science. He is the inventor of the Applied Information Economics (AIE) method and founder of Hubbard Decision Research (HDR). He is known for taking a critical view of several popular methods and standards in risk management and decision making in organizations. He argues that extensive research in methods such as "risk matrices", the use of weighted scores in decision making, and even expert intuition are inferior to certain quantitative methods.

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    Douglas W. Hubbard