Great work guys! Some comments though - that are aimed mainly at
Tomasz, Maryana and the analytics team:
This concern might be premature (I must confess I'm not sure what the
current road map looks like and what's coming next as I'm out of the
analytics loop right now) but I query the usefulness of this data (for
_me_ at least). Since the story doesn't say who this output is for and
what problem it is is solving this might meet Maryana or Tomasz's
goals but not mine. " so that I can get an idea of current types of
devices being used to acces the mobile site" - (yes but why do you
want to know that?)
The data format is very good in that I could easily whip up a web page
to analyse it although I was left a bit confused as the fake data in
the story card looks different to the output.
That said, I looked through a few data sets and couldn't find usage
statistics for Kindle.
Also what is the difference between BlackBerry and BlackBerry OS and
Bada / Bada OS?
I'm also assuming this should be a handheld ? (handheld RIM
Tablet OS 807)
This is great in terms of allowing me to get vague ideas of our
audience - which use Blackberry and which use Android but from my
perspective it is not useful unless coupled with the browser they are
using. For example which of our users on android are using Opera Mini,
which of our users are using Opera Mobile?
This is why I don't trust this sort of data. It makes assumptions
about how I consume the data and I worry that by grouping data in this
way you lose a lot of the meaning of it.
Is it possible in future/now to access these numbers but instead of
grouping showing the exact user agent? (I know this would be a longer
list with lots of odd user agents - but for the problems I am trying
to solve (getting ideas of importance of bugs) this would be much more
useful.