[Sigia-l] Content audit and recommendation challenge

[Patrick Walsh]

Subir,
      If you are looking to cut big chunks of content then perhaps
something like Content Value Analysis (CVA) might be a useful approach.
It was originally developed for intranet content but the approach can
work with any content set,

 
http://patrickcwalsh.wordpress.com/2008/10/08/content-value-analysis-for
-intranets-part-2-a-methodology/

Regards

Patrick

-----Original Message-----
From: sigia-l-bounces at asis.org [mailto:sigia-l-bounces at asis.org] On
Behalf Of Subir Kumedan
Sent: 18 November 2009 18:02
To: SIGIA-L
Subject: [Sigia-l] Content audit and recommendation challenge

Hi guys,

Could use a bit of helping solving a tricky recommendations problem for
a client. 


We are doing a content audit - this site is massive. Google has 100,000
pages indexed, and is incomplete.  Of course we can see in Omniture what
pages are being viewed, exited, single page view etc. Problem is we
can't see the pages that are not being viewed.
 
So if a part of the challenge is to recommend which pages that should be
cut - are not interesting to people, are dead ends, are no longer linked
to, how does one go about that?
 
Oh, and the site logs only go back a week, so no help there either.

Any ideas will be very welcome?

Cheers,
Subir
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IA Summit 2010
April 7-11, 2010
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