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Now updated with new measurement methods and new examples, How to Measure Anything shows managers how to inform themselves in order 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, 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 custom

The invaluable companion to the new edition of the bestselling How to Measure Anything This companion workbook to the new edition of the insightful and eloquent How to Measure Anything walks readers through sample problems and exercises in which they can master and apply the methods discussed in the book. The book explains practical methods for measuring a variety of intangibles, including approaches to measuring customer satisfaction, organizational flexibility, technology risk, technology ROI, and other problems in business, government, and not-for-profits. Companion to the revision of the.

"This book will introduce how the Internet can be used to assess market trends and public opinion before the slower and far more expensive, traditional government reports and Gallup polls are published. It could be similar to having a real-time "Dow Jones" index for buzz about a company or confidence in the economy. The book will talk about how to take this raw data and validate it using some traditional methods without relying on them entirely in the future. It will discuss how this will eventually effect business and government in a much broader sense. For example, this tool allows for a new kind of real-time decision analysis that will greatly improve productivity. Pulse will describe how most major decisions are made on information that was actually available quite a long time prior to the beginning of the analysis of the decision, nevermind the decision itself. But real-time information about socio-economic trends and public opinion will allow for a kind of "programmed trading" for some decisions similar to how trading firms automate buying and selling. Specific examples include: Specific examples will incude: A Canadian epidemiologist tracked Google searches on the phrase "flu sympoms". He used this information to track flu outbreaks faster than the Canadian health authorizes could keep up. His success later inspired Google's "Flu Trends" tool. Researchers at HP labs showed how tracking Twitter comments about upcoming movies could reliably predict box office success better than any other method. It will show how the number of Google searches nationwide on the term "unemployment" (publically available through "Google trends") tracks very closely to Bearue of Labor Statistics (BLS) unemployment reports. The difference is that BLS releases its data monthly after samply 60,000 households while Google trends data is available weekly and for free. Research by Carnegie Mellon students show that tracking Twitter comments produces nearly the same results for consumer confidence and political polls as Gallup polls would produce - except that the results are real-time and free. I'll introduce the possibility that even tracking auctions on ebay, ranks of books on Amazon, or job-seeking websites may become the new way to track real time data about the economy and trends in public opnion. LA County detected (with 85% accuracy) collusive fraud rings in public assistance programs based onn analysis of links in social networks. "Semantic" analysis tools are even being developed to process thousands of blogs and Facebook comments that could be used to assess security threats like potential terrorism."--

Large and rapidly growing cities and other urban agglomerations have the potential to become incubators of political instability. This is especially true of rapidly growing cities which are located in countries that are also experiencing high rates of growth in their youth population. Rapid growth rates put stress on urban infrastructure and other institutions, and these stresses can cause major problems for both city and national governments. Knowing when these cities and countries may be trending toward their tipping points regarding political instability will help governments and international organizations develop and implement effective strategies to mitigate the risk of instability.

"Cybersecurity has become one of the biggest risks facing companies today. There is a need to provide the tools and information for a CISO to become more of a chief information risk officer so they are better able to identify and prioritize risk, allocate resources, and develop effective risk mitigation strategies. This book helps to fill that need"--

AbstractDefining a baseline for the frequency of occurrences at underground natural gas storage facilities is critical to maintaining safe operation and to the development of appropriate risk management plans and regulatory approaches. Currently used frequency‐estimation methods are reviewed and broadened in this article to include critical factors of cause, severity, and uncertainty that contribute to risk. A Bayesian probabilistic analysis characterizes the aleatoric historical occurrence frequencies given imperfect sampling. Frequencies for the three main storage facility types in the United States (depleted oil‐and‐gas field storage, aquifer storage, solution‐mined salt cavern storage) are generally on the order of 3 to 9 × 10–2 occurrences, of all causes (surface, well integrity, subsurface integrity) and severities (nuisance, serious, catastrophic), per facility‐year. Loss of well integrity is associated with many, but not all, occurrences either within the subsurface or from there up to the surface. The probability of one serious or catastrophic leakage occurrence to the ground surface within the next 10 years, assuming constant number of facilities, is approximately 0.1–0.3% for any facility type. Storage operators and industry regulators can use occurrence frequencies, their associated probabilities and uncertainties, and forecasts of severity magnitudes to better prioritize resources, establish a baseline against which progress toward achieving a reduction target could be measured, and develop more effective mitigation/monitoring/reduction programs in a risk management plan.