数据化管理的组织
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数据化管理的组织

Carl Anderson (作者) 张奎 (译者)
What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.

Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models—from data collection and analysis to the insights and leadership that drive concrete actions. You’ll learn what works and what doesn’t, and why creating a data-driven culture throughout your organization is essential.

Start from the bottom up: learn how to collect the right data the right way
Hire analysts with the right skills, and organize them into teams
Examine statistical and visualization tools, and fact-based story-telling methods
Collect and analyze data while respecting privacy and ethics
Understand how analysts and their managers can help spur a data-driven culture
Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer

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出版信息

  • 书  名数据化管理的组织
  • 执行编辑关于本书的内容有任何问题,请联系 岳新欣
  • 页  数302
  • 开  本16开
  • 出版状态正在编辑

目录

正在加工……

作者介绍

Carl Anderson is the Director of Data Science at Warby Parker in New York overseeing data engineering, data science, supporting the broader analystics org, and creating a data-driven organization. He has had a broad-ranging career, mostly in scientific computing, covering areas such as healthcare modeling, data compression, robotics, and agent based modeling. He holds a Ph.D. in mathematical biology from the University of Sheffield, UK.
  • 本书虽列IT类图书,实则涉及到技术、组织、文化和管理等多方面的内容。就如同时下程序员虽然对自身工作环境、资源支持环境、技术使用环境、方法合理性抉择等方面存在长久的“积怨”或者“不满”,但仍不得“解脱之道”的困惑如出一辙!许多问题的解决不在问题本身,而需从问题存在的外在环境中挖掘“根源”和获得“洞察”。数据分析(或者用时下流行的名词“大数据”)使用得当、企业从中获益、技术人员因此“活得舒爽”,不仅仅是技术“拿来主义”的速度有多快、传播“牛逼名词”的速度有多快、企业多么有钱,更多的是需要考虑....读一下本书,定会收益!
    futurefocus  发表于 2016-06-10 17:42:02
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