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Actionable Web Analytics: Using Data to Make Smart Business Decisions

Actionable Web Analytics: Using Data to Make Smart Business Decisions
List Price: $29.99
Special Price: $19.79
Your Savings: $ 10.20 ( 34% )
Subject To Change Without Notice
Availability: Usually ships in 24 hours
Manufacturer: Sybex
Average Customer Rating: Average rating of 4.5/5Average rating of 4.5/5Average rating of 4.5/5Average rating of 4.5/5Average rating of 4.5/5

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Binding: Paperback
Dewey Decimal Number: 025.04
EAN: 9780470124741
ISBN: 0470124741
Label: Sybex
Manufacturer: Sybex
Number Of Items: 1
Number Of Pages: 288
Publication Date: 2007-05-29
Publisher: Sybex
Studio: Sybex

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Editorial Reviews:

Knowing everything you can about each click to your Web site can help you make strategic decisions regarding your business. This book is about the why, not just the how, of web analytics and the rules for developing a "culture of analysis" inside your organization. Why you should collect various types of data. Why you need a strategy. Why it must remain flexible. Why your data must generate meaningful action. The authors answer these critical questions—and many more—using their decade of experience in Web analytics.


Spotlight customer reviews:

Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5
Summary: Great Approach
Comment: The book's a little long winded and the points get a bit repetitive...Luckily they're all pretty much on the money. It's a great tool to help people understand the limitations of analytics and the value of using the right analytics. I've already recommended it.

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5
Summary: Great Book To Make Web Analytics Actionable
Comment: The authors of Actionable Web Analytics clearly understand the technical intricacies of Web analytics. More importantly, they clearly understand the challenges faced by Web marketers and managers in distilling and communicating the value and ROI of Web sites and interactive campaigns. Given the critical need for cost-effective marketing integration across all media, I believe this is a must-read for everyone from Web analytics gurus to corporate CMOs.

Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5
Summary: Excellent Overview
Comment: This book presents an easy to understand overview of analytics as a whole. It is not a "how to" book on the latest analytics software. The authors forgo the typical pretense associated with this kind of "technical" material, presenting the information in a tone that makes analytics quite fun.

Customer Rating: Average rating of 1/5Average rating of 1/5Average rating of 1/5Average rating of 1/5Average rating of 1/5
Summary: Theories and theories alone!
Comment: If you are looking for "Actionable Web Analytics" or how to "Use Data to Make Smart Business Decisions", then look somewhere else. The title of this book and the 5 star reviews given by some people here has misled me. I have red 75% of this book and finally decided to stop waisting my time. The book goes around web analytics and never gets into the point or give any specific practical recommendation.

It was a total waist of time and If there is a way I can return it back I will do so immediately.

Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5
Summary: Great Analytics Overview!
Comment: Chapter by chapter, this book does a great job of speaking to the novice analyst or the experienced analytics guru. The organization of this book allows the reader to jump from one chapter to another or read in the standard sequence. I particularly enjoyed the encouragement to determine KPI's. Many organizations overlook this critical step but having completed this within my own company, I see just how crucial this is to defining success with the metrics available. Not only can I report on the raw data, but I know have a better understanding of how to translate this to solve 'real' business decisions. Kudos to the authors!


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