Web Analytics: An Hour a Day

Web Analytics: An Hour a Day

Web Analytics: An Hour a Day

Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company’s bottom line. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (Chapman & Hall/CRC The R Series)

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (Chapman & Hall/CRC The R Series)

  • Used Book in Good Condition

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations.

The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects.

Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

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6 comments

  1. 66 of 72 people found the following review helpful
    5.0 out of 5 stars
    Turning online data into wisdom, May 31, 2007
    By 
    Daniel Waisberg (Israel) –
    (REAL NAME)
      

    This review is from: Web Analytics: An Hour a Day (Paperback)
    ‘Web Analytics: An Hour a Day’ describes in an absorbing and insightful way the most important topics for a Web Analyst or any professional related to the management of a website. Topics covered include: basic terminology, tool selection/implementation, online segmentation, conversion rates improvement, competitive analysis, and many others.

    The Business trinity, created by Avinash, is a very powerful business process that can radically improve the performance of online efforts. It is also the spirit of the book. Avinash describes the trinity as follows: “The goal of the Trinity mindset is to power the generation of actionable insights. Its goal is not to do reporting. Its goal is not to figure out how to spam decision makers with data. Actionable Insights & Metrics are the uber-goal simply because they drive strategic differentiation and a sustainable competitive advantage (…) The Trinity mindset empowers you to Understand the customer experience so explicitly that you can influence the right customer behavior which will lead to win-win outcomes for the company and its customers.”

    The book is indispensable to those who want to understand and practice the art and science of web analytics. It is organized in a very friendly way, turning the reading into a pleasant break amid the rush of day-to-day duties; like a challenging conversation. It is rich in examples, facilitating the understanding of the `what’, `how’, and `why’ of online measurement strategies.

    I have profited from Avinash’s writings in various situations; the practical advices given in the book are clear and bring great results. I warmly recommend reading this book and following the author’s blog.

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  2. 63 of 72 people found the following review helpful
    2.0 out of 5 stars
    Not analytics … more data collection, May 28, 2008
    By 
    Tim Dire “Chelsea Shedboy” (Westminster, CO) –

    Verified Purchase(What’s this?)
    This review is from: Web Analytics: An Hour a Day (Paperback)
    If you buy ‘Web Analytics …’ looking for some guidance, or even a few ideas, as to analysis of your internet marketing/sales endeavors, you will be disappointed. This book is about data collection … nothing more.

    To Avinash Kaushik’s credit he appears thorough. I did appreciate his flagging the limitations of data collected by the various methods. On the downside the book is repetitive and could have been better ordered. The ‘… Hour a Day’ is appropriate, as that is about all a reader can risk in one sitting. The text makes an arduous read. If better structured, this book could have been half its length.

    If I learned one thing, it is this. I’ll architect my approach to web analysis, define the data I need, and then recruit an IT type to build the process to collect the data. Having read the book, I now know what data there can be. For this I’m grateful to the author.

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  3. 28 of 30 people found the following review helpful
    5.0 out of 5 stars
    Accessible and Marketing Driven, September 5, 2007
    By 
    Bart E. Caylor (Indianapolis, IN USA) –
    (REAL NAME)
      

    This review is from: Web Analytics: An Hour a Day (Paperback)
    One of the first things that impressed me about this book was the fact that it went beyond what I was expecting to read: how to better read analytics dashboards. What I found was a sophisticated and marketing-oriented book that teaches how to use the available data to create a clear picture of return on investment in the online world. This is more than your typical programming book, this is a marketing book.

    Kaushik does a great job with the format. As is the fact with any subject you are committed to knowing, reading the information and applying it in small pieces is the best way to learn. The bulk of the content is arranged by subject and segmented into daily readings allowing you to focus and build upon the knowledge one brick at a time.

    The book is easy to read, full of practical application, and one that will be tattered, bookmarked, and referenced often.

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  4. 2 of 2 people found the following review helpful
    5.0 out of 5 stars
    The best first book on data mining, January 16, 2014
    By 
    cool_einstein “cool_einstein” (Ct United States) –

    Verified Purchase(What’s this?)
    This is really the best book in terms of balance between teaching data mining techniques, statistics, statistical package and business context. I also liked Data mining techniques (DMT) for Sales, marketing and CRM. However, DMT is a good theoretical book and can use quite a bit of restructuring. Whereas, this book covers nice examples using GUI, R commander. I would say this book and DMT give good starting primer for learning data mining with business context of CRM.

    There is another GUI based book that uses Rattle. That one is also worth looking and Rattle one also covers SVM, in case you are interested. Mining massive datasets (MMD) is also good and the best part it is free. However, that focuses more on inbound link counting (ie domain context of search engines) and more advanced for a starting book.

    If you are looking to learn R then you may be better off with “The R” or “R in action”.

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  5. 2 of 3 people found the following review helpful
    4.0 out of 5 stars
    Some concepts clearly explained, April 7, 2013
    By 
    S. Wang (Palo ALto, CA) –
    (REAL NAME)
      

    Verified Purchase(What’s this?)
    This review is from: Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (Chapman & Hall/CRC The R Series) (Paperback)
    One of a few R data mining books that explain several concepts, such as decision trees, lift chart, etc. step by step using good examples.

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  6. 5.0 out of 5 stars
    Demystifying analytics so more people can apply them, October 7, 2014
    By 
    swoozzi

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    This review is from: Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R (Chapman & Hall/CRC The R Series) (Paperback)
    Easy to read with the logical sequence of presentation of ideas making it readily understood. Thanks Dr Dan.

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