Books:
Web Analytics Demystified (http://bit.ly/11yceN) by Eric Peterson
The Big Book of KPIs (http://bit.ly/11yceN) by Eric Peterson
Web Analytics: An Hour A Day (http://bit.ly/G7G4m) by Avinash Kaushik
Yahoo! Web Analytics (http://bit.ly/9TIc2) by Dennis Mortensen
Advanced Web Metrics with Google Analytics (http://bit.ly/ah3ax) by Brian Clifton
Always Be Testing (http://bit.ly/33VUb) by Bryan Eisenberg
Call to Action (http://bit.ly/shNnt) by Bryan Eisenberg
Blogs:
http://analyticsinsightblog.stratigent.com/
http://blog.onlinemarketingconnect.com/
http://www.kaushik.net/avinash/
http://webanalyticsdemystified.com/wad-weblogs.asp
http://www.omniture.com/en/resources/blogs
http://analytics.blogspot.com/
Help Forums/Developer Portals:
http://www.google.com/analytics/support_overview.html
http://developer.omniture.com/
http://developer.webtrends.com/community/developer/
http://groups.yahoo.com/phrase/webanalytics
http://help.yahoo.com/l/us/yahoo/ywa/
http://www.twitter.com/ (Hashtags: #wa, #ga,#ya, #omniture, #webtrends, etc.)
Bill Bruno
VP, Business Development & Technology

1 comments:
Thanks for the resources, Bill. I think what is missing from the web analysts toolkit is a better fundamental knowledge of numbers (distributions, probability, sampling, significance, inferential statistics, etc) for I see those becoming de riguer prereqs in the future (if not now!). understanding the nuances of big data sets is also a biggee, so data mining and exploration quickly come up. I have listed many of my favorite books in the Amazon Showcase on my blog (yes i'm in their affiliate program, www.brunocm.com) including some books that you mentioned and some other great books that I have found regarding data warehousing, data mining, intro to statistics. I also have my delicious links (which are mostly analytics related) along the left hand column, and a page with a list of free open source data mining tools. I feel tomorrow's analyst should at least understand the higher level concepts around all of these areas.
I certainly don't mean to overwhelm people more, as web analytics is a handful already! I hope the resources are helpful
Cheers,
Bruno
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