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How to Measure Anything: Finding the Value of Intangibles in Business

How to Measure Anything: Finding the Value of Intangibles in BusinessAuthor: Douglas W. Hubbard
Publisher: Wiley
Category: Book

List Price: $49.95
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Seller: indoobestsellers
Rating: 5.0 out of 5 stars 59 reviews
Sales Rank: 4,996

Media: Hardcover
Edition: 2
Pages: 320
Number Of Items: 1
Shipping Weight (lbs): 1.2
Dimensions (in): 9.1 x 6.1 x 1.3

ISBN: 0470539399
Dewey Decimal Number: 657.7
EAN: 9780470539392
ASIN: 0470539399

Publication Date: April 19, 2010
Availability: Usually ships in 1-2 business days

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  • ISBN13: 9780470539392
  • Condition: New
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  • Hardcover - How to Measure Anything: Finding the Value of "Intangibles" in Business
  • Kindle Edition - How to Measure Anything: Finding the Value of Intangibles in Business
  • Hardcover - How to Measure Anything: Finding the Value of "Intangibles" in Business

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Editorial Reviews:

Amazon.com Review

Now updated with new research and even more intuitive explanations, a demystifying explanation of how managers can inform themselves to make less risky, more profitable business decisions

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.

  • Adds even more intuitive explanations of powerful measurement methods and shows how they can be applied to areas such as risk management and customer satisfaction
  • 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"
  • Adds recent research, especially in regards to methods that seem like measurement, but are in fact a kind of "placebo effect" for management – and explains how to tell effective methods from management mythology

Written by recognized expert Douglas Hubbard-creator of Applied Information Economics-How to Measure Anything, Second 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.

How Everything Can Be Measured
Amazon-exclsuive content from author Douglas Hubbard

How can we measure the population of fish in a lake? And how is that like measuring unsatisfied customers who didn’t complain or measuring security breaches that were not detected? How can we isolate the effect advertising has on sales when a vast amount of unknowns also affect sales? How did an 11-year old girl use a simple measurement to debunk a popular practice in medicine? How did intelligence analysts in WWII estimate the monthly German tank production by an analysis of serial numbers of captured tanks? How do we measure quality, risk or innovation? How do we know what to measure in the first place? The answers are easier than you might think.

The idea that some things are utterly immeasurable is based on just three common misconceptions. As I explained in How to Measure Anything, the three misconceptions can be overcome and powerful measurement methods can be applied to resolve just about any problem. The misconceptions are Concept, Object and Method (you can remember them as .com). The concept of measurement refers to the meaning the word “measurement” is assumed to have. Some things are thought to be immeasurable only because it is believed that measurement must be some exact value. But the more pragmatic scientific approach to the term measurement is to treat it as quantified uncertainty reduction based on observation. If you have a wide range of possible values for the percentage of customers who would prefer a new product, all you really need is a reduction in that uncertainty to make a better bet about a new product.

The second misconception about measurement is the objective of measurement itself. If “strategic alignment”, or “employee empowerment” seem immeasurable, it is only because they are – initially – ambiguous. But if they are important to a business, then they must have observable consequences. They must have some impact on some decision (otherwise they wouldn’t need to be measured at all). And so they must be detectable in some manner, directly or indirectly.

The third misconception is about methods. Obscure but well-developed methods already exist for more types of measurement problems than most managers realize. Controlled experiments, variations on random sampling methods, and some very simple but non-obvious methods can be used in many practical business situations. While many measurements feel daunting at first, the fact is that we often have more data than we think, we need less data than we think, and getting more data through observation is simpler than we think. And, above all else, no matter how challenging a measurement problem appears, we should assume that we are not the first to measure something like it. Any measurement problem you encounter will very likely already have a practical solution. You only need to know about it.

Once these imaginary obstacles have been overcome, there are practical measurement solutions that can be applied to any uncertain decision. We can quantify any uncertainty and then compute the value of reducing that uncertainty by measurement. Where the value of information about a measurement is very high, my book explains how to employ sampling, controlled experiments, and even more methods in a way that makes it approachable for any manager.



Product Description
Praise for How to Measure Anything: Finding the Value of Intangibles in Business

"I love this book. Douglas Hubbard helps us create a path to know the answer to almost any question in business, in science, or in life . . . Hubbard helps us by showing us that when we seek metrics to solve problems, we are really trying to know something better than we know it now. How to Measure Anything provides just the tools most of us need to measure anything better, to gain that insight, to make progress, and to succeed."
-Peter Tippett, PhD, M.D.
Chief Technology Officer at CyberTrust
and inventor of the first antivirus software

"Doug Hubbard has provided an easy-to-read, demystifying explanation of how managers can inform themselves to make less risky, more profitable business decisions. We encourage our clients to try his powerful, practical techniques."
-Peter Schay
EVP and COO of
The Advisory Council

"As a reader you soon realize that actually everything can be measured while learning how to measure only what matters. This book cuts through conventional clich?s and business rhetoric and offers practical steps to using measurements as a tool for better decision making. Hubbard bridges the gaps to make college statistics relevant and valuable for business decisions."
-Ray Gilbert
EVP Lucent

"This book is remarkable in its range of measurement applications and its clarity of style. A must-read for every professional who has ever exclaimed, 'Sure, that concept is important, but can we measure it?'"
-Dr. Jack Stenner
Cofounder and CEO of MetraMetrics, Inc.



Customer Reviews:
Showing reviews 1-5 of 59
1 2 3 4 5 6 ...12Next »



5 out of 5 stars Objective decision-making at its best   September 3, 2010
Joe Schuck (McMurray, PA United States)
Mssr. Hubbard has taken the art of persuasion and turned it into a science. He offers several practical means of quantifying abstractions like quality and satisfaction. His techniques exploit a little bit of data and make it go a long way to reduce uncertainty/risk in decision-making. If you prefer fact-based decisions and can handle entry-level statistics this book is for you.


5 out of 5 stars Brilliant! How to quantify the unquantifiable   August 7, 2010
Alexandra Carmichael (Mountain View, CA USA)
2 out of 2 found this review helpful

Some things are easy to measure. Time, money, exercise, calories, location - all of these are relatively straightforward to repeatably determine or calculate.

But how does one go about measuring happiness? What about compassion, or public influence, or creativity? These are more intangible, harder to pin down to a number that means anything.

Douglas Hubbard has written an impressive work called "How To Measure Anything: Finding the Value of Intangibles in Business."

While it's written primarily for business people, the lessons transfer smoothly to self-experimenters. Hubbard begins with a compelling case for why to measure intangibles:

"Often, an important decision requires better knowledge of the alleged intangible, but when a [person] believes something to be immeasurable, attempts to measure it will not even be considered.

As a result, decisions are less informed than they could be. The chance of error increases. Resources are misallocated, good ideas are rejected, and bad ideas are accepted. Money is wasted. In some cases life and health are put in jeopardy. The belief that some things--even very important things--might be impossible to measure is sand in the gears of the entire economy.

Any important decision maker could benefit from learning that anything they really need to know is measurable."

He goes on to explain in detail how to measure intangibles, including sections on how to clarify problems, calibrate estimates, measure risk, sample reality, and use Bayesian statistics to add to available knowledge. He also describes his Applied Information Economics (AIE) Approach that ties together several threads of his ideas:

"The AIE approach addresses four things:
1. How to model a current state of uncertainty
2. How to compute what else should be measured
3. How to measure those things in a way that is economically justified
4. How to make a decision"

I'm working my way through the book, and am incredibly grateful to Douglas Hubbard for writing it.



2 out of 5 stars Good concept, but falls short   August 3, 2010
Novathinker (Northern Virginia, USA)
1 out of 4 found this review helpful

Could most business managers benefit from better decision-making skills? Probably. Would most of us benefit from a deeper knowledge of statistics? Probably. Will this book help you with either of these? Probably not.

Hubbard attempts the impossible in this book: to convey statistical and mathematical concepts without actually explaining them. He mainly just skims the ideas and doesn't really explain how the reader can take command of these tools. He skims over a variety of valuable methods without actually conveying enough knowledge for readers to become proficient in using them. Readers are forced to refer to a good stats book to really learn how to do most of the things Hubbard talks about. They would be better off reading the stats book in the first place and skipping this book altogether.

A second problem with this book is the author's frequent use of the passive voice. The passive voice makes the book hard to read. This problem surprises me since this is a second edition of the book. Hubbard's editors should have done a better job fixing this.



5 out of 5 stars Excellent book which got me really interested in statistics.   May 15, 2010
B. Ma
2 out of 3 found this review helpful

The book is excellent for people who have very little math background. If you have math background, read a more depth one.


5 out of 5 stars What are the odds?   February 24, 2010
Michael Corning (Redmond, WA)
4 out of 4 found this review helpful

Once in a while you come across a book that contains a single sentence that is worth its list price. This is such a book, and its definition of measurement is such a sentence.

I have the honor and privilege of leading seminars and classes for senior software design engineers in test at Microsoft. When I ask for a definition of measurement I have yet to hear anybody offer the one that's at the center of How to Measure Anything, and I have yet to see a single person not smile when I share the definition Douglas offers in his book.

Invariably, the smiles grow to grins when I suggest that by seeing tests as sets of observations that reduce uncertainty, and by incorporating the other mathematical tool Douglas explains in the book, Bayesian inference, testers are now capable of seeing the effect a single test result has on the joint probability distribution of uncertainty for the entire test run.

From this new foundation we are able to incorporate the work of other researchers to produce a measure of the relative value of individual tests selecting those that most reduce the overall uncertainty that the product is fit for service. This ability to measure relative value, then, enables testers to add ever more effective tests to the suite so we can measure the incremental change in overall uncertainty. What are the odds that the end result of this simple definition of measurement armed with Bayesian inference would be so profound? For in a word, we can now model and measure, not merely the software itself, but the judgment of the tester, as well. Management loves it, the development team loves it, and the tester loves it.

If only Douglas had written this book ten years ago...


Showing reviews 1-5 of 59
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bayesian statistics  business intelligence  data analysis  intangibles  measurement  
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