How to Measure Anything

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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。

出版者:Wiley
作者:Douglas W. Hubbard
出品人:
页数:304
译者:
出版时间:2010-04-19
价格:USD 49.95
装帧:Hardcover
isbn号码:9780470539392
丛书系列:
图书标签:
  • 数据分析 
  • 管理 
  • 度量 
  • 经济学 
  • 商业 
  • 统计 
  • 数学 
  • 战略管理 
  •  
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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.

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1澄清量化概念,为什么说量化是可能的? 量化是被量化事物与数据之间的映射 类比来说,语言是事物(具体或者抽象)和思维的连接工具。 那么,数据就是决策目标和待解决问题直接的连接器。问题需要通过数据反映,同样问题的解决也需要数据反映。 例如:纠结的我想变成一个有决断...  

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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...  

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大数据已经成为了学界热衷的重要话题,不管是在媒体还是学界,大数据的出现都成为了人们关注的焦点。而在热炒大数据的同时,我们不能忘记大数据的关键还是要用于实际用途。而大数据被认为在总结过去和预测未来方面都有着很多作用,而就个人而言,大数据同样也能够在个人的决策...  

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猜 20190107二刷 measurement as uncertainty reduction 地球半径 measure base onother simple measurement Fermi 原子弹 纸片 10k ton 18.6k ton 钢琴调音师 Fermi decomposition (market size) range 蒙特卡洛 energy field random test observable consequence 信息论 measurement reduce uncertainty yes/no how many rule of number 5 1-2×0.5∧5= 0.9375 system error accuracy

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猜 20190107二刷 measurement as uncertainty reduction 地球半径 measure base onother simple measurement Fermi 原子弹 纸片 10k ton 18.6k ton 钢琴调音师 Fermi decomposition (market size) range 蒙特卡洛 energy field random test observable consequence 信息论 measurement reduce uncertainty yes/no how many rule of number 5 1-2×0.5∧5= 0.9375 system error accuracy

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可是我的数学实在太差了…留下了好几个问号以后再细看

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高阶费米计算。适合年轻的时候就阅读,帮助培养思维习惯!内容不说,光是目录看着就屌炸天。属于开阔思维的书,前面很有启发性,后面就逐渐不好看了。

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"Nothing is immeasurable." it's changing my way of thinking, but it's a little hard to practise.

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