Avinash Kaushik是備受贊譽的Web分析博客Occam’s Razor(www.kaushik.net/avinash)的版主。他是一位獨立顧問,目前是Google的分析宣傳師。這之前他曾經是Intuit公司的網絡研究與分析主管,負責管理分析平颱上的業務、技術和策略元素,該分析平颱為Intuit的70多個Web站點提供支持。Avinash Kaushik經常在Emetrics峰會上發言。媒體談及他時經常在其名字上冠以Web度量專傢的稱號。
鄭海平(Dave Zheng):
微博:t.sina.com.cn/davezheng
博客:www.wachina.net
從2006年開始從事網站分析工作,並於2007年赴美工作,曾任美[~Newegg.tom網站分析負責人。
鄧天卓(Gene DENG)
微博:t.sina.com.cn/genedeng
曾任美國Newegg.com商業分析師,網站管理部(WM)數據運營産品經理。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.
##雖然作者很努力地在把書寫的幽默,常使用看起來較為中二的比喻,例如“數據分析忍者”“徵服數據質量之龍”,還有一些自帶菲比聲音的小標題比如“tag, baby, tag!",但是就…還是很難讀?考試的話,上七十就好,彆無所求。
評分##剛剛讀完,確實是這個領域不錯的指導手冊。 對於一般讀者建議仔細閱讀第三章至第八章,社交那段他講的一般。 對於已經從事數據分析一段時間的人,建議優先閱讀最後一章——創建數據驅動的企業文化。然後視情況而定是否需要從頭閱讀。 我本人覺得,前兩張有實例但不如中間有價值...
評分##這書好嗎?讀到第五章,為啥發現完全讀不下去呢?
評分 評分 評分 評分##引人入勝。AK經典之作!
評分 評分##有人抱怨“廢話”多...想要乾貨可以自己整理好咩?/作者的語言挺活潑的,這種書文風要是再不歡快點,就像嚼乾麵包還不給水一樣。/快兩星期沒讀小說瞭。好想看新買的《天意》啊,而不是這個。。。/ 2012年5月10標記的在讀。那時候剛迴JF,剛開始接觸主站改版項目。對網站數據分析最初的瞭解都來自這本書。
本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度,google,bing,sogou 等
© 2025 book.tinynews.org All Rights Reserved. 静思书屋 版权所有