Competing on Analytics 在线下载 pdf mobi 2025 epub 电子版

You have more information at hand about your business environment than ever before. But are you using it to "out-think" your rivals? If not, you may be missing out on a potent competitive tool. In "Competing on Analytics: The New Science of Winning" , Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon: Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples - from organizations as diverse as Amazon, Barclay's, Capital One, Harrah's, Procter & Gamble, Wachovia, and the Boston Red Sox - illuminate how to leverage the power of analytics.

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数据分析竞争法:企业赢之道

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书籍介绍

You have more information at hand about your business environment than ever before. But are you using it to "out-think" your rivals? If not, you may be missing out on a potent competitive tool. In "Competing on Analytics: The New Science of Winning" , Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon: Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples - from organizations as diverse as Amazon, Barclay's, Capital One, Harrah's, Procter & Gamble, Wachovia, and the Boston Red Sox - illuminate how to leverage the power of analytics.

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数据分析竞争法:企业赢之道

• 作者：胡不骑射 发布时间：2021-04-30 15:31:25

  多读，多记，多交流

• 作者：静远浮云 发布时间：2012-05-15 10:59:40

  不知道作者的出发点是什么。。。你搞案例研究，不讲具体算法？你搞公司政策推广，不给点实际利润提高的数据？你搞点名，你也多点几个啊！每个领域点三五个就算了？——全本书就说了一个商业数据分析很重要啊很重要啊很重要啊！废话！会看这本书的人，当然已经觉得商务数据分析很重要了。。。-_-!

• 作者：已注銷 发布时间：2019-12-28 09:30:24

  很适合初学者的一本书，相比于学术论文写作与发表指南，对管理学科的同学针对性更好，且不只局限于论文，更讨论了科研本身——对学术新手来说是个入门扫盲的绝佳选择。

  深受启发，解决了很多之前的问题。

  另，文字相当浅显易懂，排版明晰简洁，能看得出作者们清晰强大的逻辑体系和知识系统。我喜欢这样的专业书籍。

  我是第一个读者！

• 作者：shni1974 发布时间：2023-05-19 15:22:55

  读过。

• 作者：离岛孟生 发布时间：2014-09-24 14:06:59

  Davenport's first master piece on analytic...must read for analysts who has passion on turning analytics into business value.

• 作者：Wong 发布时间：2019-08-04 07:03:54

  最作的一件事 这本和新版本都巨资买了英文版 然后不是计算机专业 难读的要死 最后又买了中文版 哭了

• 书的内容很不实在！简直就是小广告

  作者：豆友58357730 发布时间：2012-02-16 10:51:20

      外国人的思维逻辑、案例完全不合符中国国情！另外，这本书讲的更多的是数据分析的价值和作用，根本没有将如何分析以及分析的方法，总的来说很不适合购买。

      外国人的思维逻辑、案例完全不合符中国国情！另外，这本书讲的更多的是数据分析的价值和作用，根本没有将如何分析以及分析的方法，总的来说很不适合购买

      外国人的思维逻辑、案例完全不合符中国国情！另外，这本书讲的更多的是数据分析的价值和作用，根本没有将如何分析以及分析的方法，总的来说很不适合购买

• 如何成为分析竞争型企业？

  作者：火星南极人 发布时间：2011-01-08 18:38:59