Category Archives: Web Analytics

NCDM Show – you going?

DataBase Marketing, Marketing / Tech Interface, Measuring Engagement, Web Analytics

Next week I will be moderating a panel at the NCDM show. 

Don’t know NCDM?  If you’re a web analyst interested in what happens in BI from a Marketing perspective, this is the show for you – National Center for Database Marketing. 

I’m moderating a “shootout” panel titled Web Analytics Solutions Showdown: How Do You Measure Customer Engagement? with panelists Barry Parshall from WebTrends, John Squire from Coremetrics, and David Kirschner from Omniture (Jon Gibson / ClickTracks had to drop out).

No right or wrong answers for this session, mostly a demonstration of how different WA platforms approach the challenge of “Measuring Engagement” differently.  Just tell us what you believe “Engagement” is and how it is measured with your tool using a case study.

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Webcast on Web Intelligence 11/19

Analytical Culture, Analytics Education, DataBase Marketing, Web Analytics

Speaking of Web Intelligence, if you are interested in experiencing what the world of web analytics looks like when it meets Business Intelligence, the WAA and our Certificate partner for Web Intelligence, UC Irvine, are doing a Free webcast on this topic. 

Jim Humphrys has the research on salaries and demand in the sector, Shaina Boone of Critical Mass is the practitioner who has both taken the Certificate classes and is applying this knowledge in the real world, and Bernie Jeltema is a UCI Instructor for the Certificate classes.

Here’s the official description:

UCI Webinar: Certificate in Web Intelligence
Wednesday 19-Nov-08 2:30 PM to 3:30 PM EDT

Web Intelligence is a combination of web analytics and business intelligence. As companies expand their reach into the global marketplace, the need to analyze how customers use their web sites to learn about products and make buying decisions is becoming increasingly critical for survival and success.  Wondering how to position yourself for these career opportunities and how specific coursework can be valuable?  This planning session will provide pre-registration educational and career advancement advisement. Also learn more about the web intelligence certificate program, courses being offered in upcoming quarters, and career planning resources available through the UC Irvine Extension and the University of British Columbia, Continuing Studies

  • Jim Humphrys, WL Gore, co-chair, WAA Research Committee
  • Shaina Boone, Critical Mass
  • Bernie Jeltema, Instructor in Business Intelligence, consultant in field

    • To register visit: http://unex.uci.edu/certificates/it/web_intel/

    On this page, you can either sign up to “Stay Informed” about the program (green bar) or Register for the webcast in the box below this bar, which is called Web Intelligence Education Planning Session.

    Web Intelligence

    DataBase Marketing, Web Analytics

    As I said in an earlier comment, I didn’t get to see many of the sessions at eMetrics DC due to a raft of WAA stuff and great interactions with the people at the show outside the sessions.  But I have seen a lot of commentary, notably from Gary, Judah, and Eric, and related, from Christopher, on the overall message.

    I have to say I agree (or is it have agreed?) – web analytics is headed for the BI shop.  In what form, we can only speculate.  But I have a few ideas, and a great resource that could be quite helpful depending on where you want to go with your analytical career.

    The Google Analytics API, for one thing, is going to be huge from a BI perspective.  Just exactly what you have access to and in what format will be an issue for some BI folks, who tend to want “all of it”.

    If BI really wants all the data, WebTrends was talking about cleaving the reporting from the processing – just like a traditional BI scenario, where the analytics app sits on top of any warehouse.  But I think in general most BI folks are over-thinking this issue and in time, they are going to be more satisfied with the “right” data, as opposed to “all”.

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