Thursday, June 11, 2009

Educational Resources - As Promised

I hope that you’ve been able to make it out to an OMS near you. I’ve had the pleasure of presenting in MN and ATL, and the crowds have been awesome! As part of my presentation, “Inside the Mind of an Analyst,” I promised to deliver a list of resources that you could use to educate yourself on Web Analytics. So, as promised, here is a list. I’d love for you to comment and add in other resources that I don’t have listed, and please contact me directly if you have any questions at all (bill@stratigent.com).

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://www.the-omni-man.com/

http://blog.onlinemarketingconnect.com/

http://www.kaushik.net/avinash/

http://webanalyticsdemystified.com/wad-weblogs.asp

http://sethgodin.typepad.com/

http://rich-page.com/

http://blog.webtrends.com/

http://www.omniture.com/en/resources/blogs

http://blog.coremetrics.com/

http://analytics.blogspot.com/

http://www.grokdotcom.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:

Bruno M said...

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