具體描述
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.
用戶評價
##雖然簡單，但比較係統
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。
評分適閤入門的想做用戶研究和産品經理的！
評分##這書好嗎？讀到第五章，為啥發現完全讀不下去呢？
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。
評分##簡單翻瞭下，感覺挺不錯的，就是擔心是否過時瞭，畢竟互聯網的東西發展太快瞭，而這本書又是5年前的瞭 :P
評分##讀瞭最重要的幾章，不賴。
評分##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##這書好嗎？讀到第五章，為啥發現完全讀不下去呢？
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