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How to Measure Anything: Finding the Value of Intangibles in Business |  | Author: Douglas W. Hubbard Publisher: Wiley Category: Book
List Price: $49.95 Buy New: $29.39 as of 9/6/2010 21:41 CDT details You Save: $20.56 (41%)
New (30) Used (13) from $27.14
Seller: indoobestsellers Rating: 59 reviews Sales Rank: 4,181
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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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.
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Showing reviews 1-5 of 59
Reducing the Uncertainty in Intangible Business Value . . . October 31, 2007 Dave Kinnear (Lake Forest, CA USA) 86 out of 89 found this review helpful
Hubbard explains how to "find the value of intangibles in business." An excellent book and one which should be on every manager's book shelf.
Hubbard has made what can be a deadly dull subject interesting and accessible. I found several examples for measuring exactly what I needed and always felt I could not measure. This book is a must read for leaders including the Master Six Sigma Blackbelt on your staff. Finding the value of intangibles in business has always been a challenge. How to Measure Anything is full of practical ideas for getting to a measurement.
Measurement: reducing the uncertainty. As long as we are not willing to accept a best guess, or educated estimate, or range of possibilities for a difficult to measure item we will not move forward. Our decisions will be flawed. Hubbard put forth these four assumptions which I found to be most useful when thinking about measuring:
1. Your problem is not as unique as you think
2. You have more data than you think
3. You need less data than you think
4. There is a useful measurement that is much simpler than you think.
Numbers can be used to confuse people; especially the gullible ones lacking basic skills with numbers. Therefore we, as leaders, must be committed to making sure the whole organization is data driven and understands the way we can reduce uncertainty through the straight forward techniques Hubbard explains. As he states, "The fact is that the preference for ignorance over even marginal reductions in ignorance is never the moral high ground."
Hubbard gives us a very useful check list for a Universal Approach to Measurement:
1. What are you trying to measure? What is the real meaning of the alleged "intangible?"
2. Why do you care -- what's the decision and where is the "threshold?"
3. How much do you know now -- what ranges or probabilities represent your uncertainty about this?
4. What is the value of the information? What are the consequences of being wrong and the chance of being wrong, and what, if any, measurement effort would be justified?
5. Within a cost justified by the information value, which observations would confirm or eliminate different possibilities? For each possible scenario, what is the simplest thing we should see if that scenario were true?
6. How do you conduct the measurement that accounts for various types of avoidable errors (again, where the cost is less than the value of the information)?
I especially enjoy the approach Hubbard takes to quantify the cost of making measurement based on the value of the information obtained. Too often, I have seen projects founder on either inaction to get data which would be of great value and little cost or, perhaps, the exact opposite -- spending great amounts of time and money to obtain relatively useless information.
To emphasize: After reading Hubbard's excellent book on `How to Measure Anything,' I was able to immediately solve several measurement challenges for my CEO and Business Owner colleagues. This book makes accessible measurement techniques that have eluded many of my colleagues. It should be on every manager's desk. - Dave Kinnear, CEO dbkAssociates, Inc. and Vistage Chair.
Clear explanation making the complex simple. September 10, 2007 L. Bradley Bergh (Wilmington, Delaware USA) 40 out of 41 found this review helpful
Douglas Hubbard covers a broad landscape but does exactly what the title claims; it provides a guide to measuring anything. Hubbard builds from simple concepts to show the practical yet intuitively simple application of some rather advanced statistical techniques. The author's skill is in communicating complex ideas in an easy to follow and motivational flow that builds in a series of seemingly obvious steps.
The book is both philosophical and practical. If one read no more than the first three chapters one's view of the world would be changed forever. Yet the later chapters cover many extremely simple illustrations of some complex statistical concepts. I particularly enjoyed his discussion of the value of information (chapter 7), Bayesian Statistics (chapter 10), and some advanced concepts such as measuring value via observable trade-offs and using prediction markets. No one reading just a portion of this book would walk away without a new insight.
This book would be extremely useful to students in an MBA program or to those pursuing an advanced degree in one of the social sciences. It would provide a valued motivational reference to anyone studying Computer Science, Economics, or Applied Statistics. Anyone teaching or mentoring students in these disciplines might want to review this book for inclusion in their curriculum.
The book also has considerable potential at helping someone working the area of Data Warehousing and Business Intelligence. For example, Steve and Nancy Williams have written a great book titled "The Profit Impact of Business Intelligence". In it they explain the case for managing BI projects as a portfolio of risky investments. They talk of the need to measure the business value of a BI project and to coordinate changes in information flow, workflow, and decision structure so as to maximize that value. Hubbard's book offers ways that business value, cultural change, and process impact can be measured, and therefore managed. The Williams' book talks of the need for Decision Engineering. Hubbard's book gives one the understanding of what a Decision Engineering group would do on a routine basis. The two books together would be of high benefit to any manager trying to develop a "value management" culture.
The Profit Impact of Business Intelligence
The field of Human Capital Management and Workforce Analytics is receiving a lot of attention today. Two books that are particularly helpful in understanding how analytics can help Human Resource managers better support (and in fact drive) organizational performance are "The HR Scorecard" (by Brian E. Becker, Mark A. Huselid, and Dave Ulrich) and "The Workforce Scorecard" (by Mark A. Huselid, Brian E. Becker, and Richard W. Beatty). These books provide a comprehensive list of elements that could be included in a workforce analytics program from recruiting and retention to compensation and talent development. Hubbard's book helps the HR executive identify the critical metrics, what metrics add value and what metrics do not in their environment, and how to prioritize one measurement need over another. Again, Hubbard's book in combination with others will be a great compliment for the leader interested in building a fact-based value oriented decision culture.
The Workforce Scorecard: Managing Human Capital To Execute Strategy
The HR Scorecard: Linking People, Strategy, and Performance
Quantifying Soft Knowledge June 20, 2008 John Schuyler (Denver) 28 out of 28 found this review helpful
Perhaps the most frequent question from decision analysis team members is, "How do we get the inputs?" In most evaluations, there are several key variables about which we know little. Consider oil price, for example. We have abundant historical data, yet forecasting future prices is a daunting challenge.
Doug Hubbard has written an entire book about capturing quantitative judgments. His approach differs from the usual decision analysis process. In a conventional analysis, we assume that that a subject matter expert (SME) can be identified for each key variable. Then, a skilled interviewer carefully elicits the SME's judgment through an interview process.
Hubbard takes a different approach. People familiar with the type project are assembled and given calibration training. Becoming calibrated might take perhaps a half-day of practice exercises and feedback. Basically, being "calibrated" means that one can consistently provide judgments of 90% confidence intervals that avoid the "overconfidence" bias. The book provides several example quizzes for the reader to self-assess.
Even though I was well-aware of the overconfidence bias, I still performed poorly on the self-assessment tests (history was never my strong subject!). Of course, the questions for a technical group would be crafted from topics within the area of interest. Whether (a) expert in the quiz subject matter or not and (b) being told in advance that people tend to be overconfident about the quality of their knowledge doesn't seem to affect the overconfident bias. Practice and feedback are the antidotes.
Hubbard's training and consulting examples are engaging. It has been years since I've devoured a technical book so thoroughly. While the reader will pick-and-choose methods of most interest, the "measurement" topic is well-covered.
The book contains many shortcuts and heuristics for rapid problem-solving. Many people never attempt to quantify intangibles. Yet, most people with some modest training are able to provide credible judgments in quantitative form.
A sampling of topics includes:
* Modeling and Monte Carlo simulation
* Designing experiments for measurement
* Decomposition
* Heuristics for obtaining simple statistics
* Value of perfect information, for screening which variables are worthwhile measuring
* Bayes' rule (because we almost always have some prior information about the subject of the observation)
* Cognitive biases
How to Measure Anything is well-written and carefully edited. The companion Web site, [..], offers additional calibration questions, several calculation spreadsheets, and additional information.
Persons reading this book will be the better for it.
Taming uncertainty, risk, and those pesky soft benefits. August 7, 2007 W. Smith (Chicago, IL USA) 14 out of 15 found this review helpful
Excellent, practical treatment of a critical issue in managing technology investments--namely, how can we reliably assess IT project ROI? This question lies at the heart of virtually every strategic IT decision. Yet, answering it is often viewed as being either too difficult to pull off or simply not worth the effort. As a result, organizations are left with project portfolios that are underperforming and wasting resources that could otherwise be applied to lower risk and higher return efforts.
Doug's straightforward treatment of this important topic directly addresses what our clients view as their biggest obstacles to achieving better returns on IT investments:
* Intangibles, esp. potential benefit streams
* Lack of proper instrumentation and measurement infrastructure
* Difficulty in applying the proper financial and statistical concepts
The examples, spreadsheet templates, and download links provide almost any IT organization with the basic tools and know-how to quickly assess what to measure, how to measure, and then how to turn that information into a powerful decision-making tool for your IT organization. The material in this book offers a compelling blueprint for IT governance. This book is accessible to everyone.
More specifically, how to measure anything that is especially important, including intangibles September 9, 2008 Robert Morris (Dallas, Texas) 10 out of 10 found this review helpful
"I wrote this book to correct a myth that permeates many organizations today: that certain things can't be measured." Douglas Hubbard goes on to note that he has made a career out of measuring the sorts of things many thought were immeasurable. Intangibles, for example, "that appear to be completely intractable to be measured...in a way that is economically justified." Hubbard notes that there are several common misconceptions about intangibles. He offers what he characterizes as a "universal approach," Applied Information Economics (AIE), to measure an intangible, providing with that explanation some "interesting methods for particular problems."
He duly recognizes that only what is most important (tangible or intangible) should be measured; also, that what is currently most important may not retain that importance; and, that information needs change, sometimes significantly and unexpectedly. That said, basic questions must constantly be asked and answered:
1. What are our most important information needs? Why?
2. How best to obtain and then verify that information?
3. What will we then do with that information?
4. How can we then measure (accurately, consistently, and sufficiently) the impact of actions taken based on that information?
To his credit, Hubbard makes every effort to provide information, explanations, and recommendations that are (in his words) as "simple as can be"; nonetheless, some of the material may prove daunting, at least it did to me. I appreciate the inclusion of dozens of real-world examples that illustrate key points. Hubbard also makes effective use of other reader-friendly devices, such as checklists inserted throughout his narrative. In his own words, here is how he organizes his material:
In Section One (Chapters 1-3), he "makes the case that everything is measurable and offers some examples that should inspire readers to attempt measurements even when it seems impossible."
In Section Two (Chapters 4-7), he "begins to get into more specific substance about how to measure things - specifically uncertainty, risk - and the value of information."
In Section Three (Chapters 8-10), he "deals with how to reduce uncertainty by various methods of observation including random sampling and controlled experiments."
And then in Section Four (Chapters 11-14), Hubbard offers "an eclectic collection of interesting measurement solutions and case examples."
Many readers will appreciate having the Appendix (Pages 269-278) which provides both the questions and answers for various calibration tests, including "Calibration Survey for Binary: B" that also includes percentages to indicate degree of confidence that the respondent is correct.
Earlier, I suggested that this is by no means an "easy read." It isn't. Nor will this book respond directly to every executive's immediate needs and objectives. However, it will generously reward those who need assistance with finding and measuring the intangibles in business if they absorb and digest the material with appropriate care. To those about to begin reading this book, Douglas Hubbard offers this recommendation: Write down those things they believe are immeasurable or, at least they are not sure to how to measure. "After reading this book, my goal is that you are able to identify methods for measuring each and every one of them." I presume to add another recommendation: Highlights key passages and titles of checklists. By doing so, you will be able to facilitate, indeed expedite frequent review of key concepts and insights later.
Showing reviews 1-5 of 59
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