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How to measure anything : finding the value of intangibles in business / Douglas W. Hubbard
Books/Textual Material | John Wiley & Sons, Inc. | 2014 | Third edition.
Available at DCLI Treatise Collection (HF5681.I55 H83 2014)
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Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]
xxi, 410 pages : illustrations ; 24 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
Includes bibliographical references and index.
Part I. the measurement solution exists : The challenge of intangibles : The alleged intangibles ; Yes, I mean anything ; The proposal: it's about decisions ; A "power tools" approach to measurement ; A guide to the rest of the book -- An intuitive measurement habit: Eratosthenes, Enrico, and Emily : How an ancient Greek measured the size of the earth ; Estimating: be like Fermi ; Experiments: not just for adults ; Notes on what to learn from Eratosthenes, Enrico, and Emily -- The illusion of intangibles: why immeasurables aren't : The concept of measurement ; The object of measurement ; The methods of measurement ; Economic objections to measurement ; The broader objection to the usefulness of "statistics" ; Ethical objections to measurement ; Reversing old assumptions -- Part II. Before you measure : Clarifying the measurement problem : Toward a universal approach to measurement ; The unexpected challenge of defining a decision ; If you understand it, you can model it ; Getting the language right: what "uncertainty" and "risk" really mean ; An example of a clarified decision -- Calibrated estimates: how much do you know now? : Calibration exercise ; Calibration trick: bet money (or even just pretend to) ; Further improvements on calibration ; Conceptual obstacles to calibration ; The effects of calibration training -- Quantifying risk through modeling : How not to quantify risk ; Real risk analysis: the Monte Carlo ; An example of the Monte Carlo method and risk ; Tools and other resources for Monte Carlo simulations ; The risk paradox and the need for better risk analysis -- Quantifying the value of information : The chance of being wrong and the cost of being wrong: expected opportunity loss ; The value of information for ranges ; Beyond yes/no: decisions on a continuum ; The imperfect world: the value of partial uncertainty reduction ; The epiphany equation: how the value of information changes everything ; Summarizing uncertainty, risk, and information value: the pre-measurements -- Part III. Measurement methods : The transition: from what to measure to how to measure : Tools of observation: introduction to the instrument of measurement ; Decomposition ; Secondary research: assuming you weren't the first to measure it ; The basic methods of observation: if one doesn't work, try the next ; Measure just enough ; Consider the error ; Choose and design the instrument -- Sampling reality: how observing some things tells us about all things : Building an intuition for ransom sampling: the jelly bean example ; A little about little samples: a beer brewer's approach ; Are small samples really "statistically significant"? ; When outliers matter most ; The easiest sample statistics ever ; A biased sample of sampling methods ; Experiment ; Seeing relationships in the data: an introduction to regression modeling -- Bayes: adding to what you know now : The basics and Bayes ; Using your natural Bayesian instinct ; Heterogeneous benchmarking: a "brand damage" application ; Bayesian inversion for ranges: an overview ; The lessons of Bayes -- Part IV. Beyond the basics : Preference and attitudes: the softer side of measurement : Observing opinions, values, and the pursuit of happiness ; A willingness to pay: measuring value via trade-offs ; Putting it all on the line: quantifying risk tolerance ; Quantifying subjective trade-offs: dealing with multiple conflicting preferences ; Keeping the big picture in mind: profit maximization versus purely subjective trade-offs -- The ultimate measurement instrument: human judges : Homo absurdus: the weird reasons behind our decisions ; Getting organized: a performance evaluation example ; Surprisingly simple linear models ; How to standardize any evaluation: Rasch models ; Removing human inconsistency: the Lens model ; Panacea or placebo?: Questionable methods of measurement ; Comparing the methods ; Example: a scientist measures the performance of a decision model -- New measurement instruments for management : The twenty-first-century tracker: keeping tabs with technology ; Measuring the world: the Internet as an instrument ; Prediction markets: a dynamic aggregation of opinions -- A universal measurement method: applied information economics : Bringing the pieces together ; Case: the value of the system that monitors your drinking water ; Case: forecasting fuel for the Marine Corps ; Case: measuring the value of ACORD Standards ; Ideas for getting started: a few final examples ; Summarizing the philosophy -- Appendix: Calibration tests (and their answers).
"From market research to information technology to financial reporting, How to Measure Anything reveals the power of measurement to our understanding of business and the world at large. This insightful and eloquent book will show you how to measure those things in your own business that, until now, you may have considered 'immeasurable, ' including customer satisfaction, organizational flexibility, technology risk, and technology ROI. With examples ranging from how a marine biologist measures the population of fish in a large lake to how the United States Marine Corps found out what really matters in forecasting fuel requirements for the battlefield, you will discover a 'universal approach' to measuring 'intangibles, ' along with some interesting methods for particular problems. Here, you will learn about: the Illusion of Intangibles: why immeasurables aren't; calibrated estimates: how much do you know now?; measuring risk: introduction to the Monte Carlo; sampling reality: how observing some things tells us about all; unconventional measurement instruments such as the internet, human judges, prediction markets, and more; measuring the value of information: what's it worth to measure?"--Publisher description.
131121s2014 njua b 001 0 eng cam i
(OCoLC)863801712 (OCoLC)871357759 (OCoLC)881368776
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