道格拉斯• W. 哈伯德是应用信息经济学创始人、国际公认的知名测量师、决策分析师和风险管理专家。
他的应用信息经济学方法是一种量化的方法论,已被全球多家《财富》500强企业所应用,并被广泛应用于IT安全、娱乐传媒、军事物流、研发整合等众多领域。而这些领域的决策和管理往往依赖于一些看起来很难量化或者不可能量化的因素。
道格拉斯还是位广受欢迎的演说家。曾为《信息周刊》《首席信息官企业》《分析学》和《今日OR/MS》等杂志撰写文章。他还是《风险管理的失败》(The Failure of Risk Management)一书的作者。
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.
随着大数据时代的到来,基于数据科学方法的定性和定量结合的研究变得愈加重要。而《数据化决策》这本书的量化技术,却可以给予了管理者在管理和决策方面很大的帮助。对于特定的公共与商业问题,只有结合“大数据”,才能完成大数据决策时代的真正革命。这本书囊括了商业、科...
评分这问学问在我看来是一个神奇的学问,就好像另外一门庞大的学科:心理史学一样。 很喜欢这本书里面提到一些概念: 任何事情都是可以量化的;量化就是减少不确定性;任何量化如果不能够带来行动或者决策,这样的量化是没有意义的。 整本书围绕着应用信息经济学的方法论展开的,...
评分作为美国数据分析大师道格拉斯•W. 哈伯德(Douglas W. Hubbard)的代表作,《数据化决策》在当今“大数据”的时代出版绝对是应时应景的。它在出版之后立刻受到了追捧,被无数的读者所喜爱,在世界各地多种语言多次出版,很快成为一本标志性、里程碑式的著作。 这是件很有趣...
评分 评分可以看作概率论在决策领域的应用,先学一遍概率论再看本书可能收获更大,通过本书可以加深对概率论的理解。 该书的内容也可以归类到机器学习领域。 如果对概率论不是很熟,阅读本书也会有一定的收获: 1.书中提出了一些比较好的概念和思想。量化就是减少不确定性。 2.进行量化的...
"Nothing is immeasurable." it's changing my way of thinking, but it's a little hard to practise.
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评分近十年来最好的书!没读过白活了……
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评分有趣而且脉络非常清楚
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