Avinash Kaushik是备受赞誉的Web分析博客Occam’s Razor(www.kaushik.net/avinash)的版主。他是一位独立顾问,目前是Google的分析宣传师。这之前他曾经是Intuit公司的网络研究与分析主管,负责管理分析平台上的业务、技术和策略元素,该分析平台为Intuit的70多个Web站点提供支持。Avinash Kaushik经常在Emetrics峰会上发言。媒体谈及他时经常在其名字上冠以Web度量专家的称号。
郑海平(Dave Zheng):
微博:t.sina.com.cn/davezheng
博客:www.wachina.net
从2006年开始从事网站分析工作,并于2007年赴美工作,曾任美[~Newegg.tom网站分析负责人。
邓天卓(Gene DENG)
微博:t.sina.com.cn/genedeng
曾任美国Newegg.com商业分析师,网站管理部(WM)数据运营产品经理。TR人。
The bestselling book Web Analytics: An Hour A Day was the first book in the analytics space to move beyond clickstream analysis. Web Analytics 2.0 will significantly evolve the approaches from the first book and presents an innovative new framework for making critical business decisions based on web data. The book’s overwhelming focus will be to teach the reader how to use the latest tools and techniques available in the market place. Continuing in the footsteps of the first book, Web Analytics 2.0 will cover the fields of traditional web analytics, usability and qualitative analysis, experimentation and testing, as well as competitive intelligence. It will provide a holistic view of what it takes to make good decisions and exactly how to go about doing that.
Web analytics practitioners continue to have a tremendous interest (only increased by the current economic condition) in being more data-driven. At the same time, the web continues to evolve in significant ways (video, blogs, flash, social media, etc.) that present significant challenges to measurement. Web Analytics 2.0 will tackle both of those topics. Furthermore it will be agnostic in terms of tools, which will make it a must-read for online marketers of all hues, web analysts, web designers and architects, and online executives at all levels of the organization interested in successfully collecting, analyzing, and acting upon web analytics data.
In true Web 2.0 fashion the book will also include a veritable buffet of goodies on the accompanying CD-ROM: Videos (Author as well as industry leaders), Podcasts, PowerPoint Presentations and helpful files.
##看了3-6章,7-8待读。分析师的话确实有些罗嗦。自己还不能洞察其后的原则。
评分##通过本书,你可以对Web Analytics有个全面的基础了解,特别是了解了最流行的Google Analytics工具的使用方法,你甚至可以直接拿此书在自己的实际工作中参照。可以说,这是一本理论与实践相结合的书。 作者对于WA理解深刻,文章通俗易懂,适合每个需要涉及WA领域的人一读。
评分 评分 评分##虽然作者很努力地在把书写的幽默,常使用看起来较为中二的比喻,例如“数据分析忍者”“征服数据质量之龙”,还有一些自带菲比声音的小标题比如“tag, baby, tag!",但是就…还是很难读?考试的话,上七十就好,别无所求。
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