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Cool!

Its a very detailed analysis of analytical sites. Examples shown serve different fields - travel and web traffic. And even usability of analytical sites is broken down by time!

That was a great read for. I am developing a set of news analysis tools and this post helps.

But I am still wondering what could be done in my case?

I have a totally varied set of tools. Some of them show graphs, some maps and some text data. I have separated the mashup into sub-tools. But now after reading this post, it makes me think about presenting the overview of all the types of results on the overview page like the Google Analytics dashboard. Then, I still have to think about users with slow internet connections, since the page load time might increase (and there might be time out errors from my servers resulting in half-loaded pages).

Comparing travelocity and kayak is interesting, but the best flight scheduling interface is ITA's demo app (seems to be down right now):

http://matrix.itasoftware.com/

It gives a color coded matrix of flights, and all the info is captured in one screen. I think orbitz and others use their optimizer as a backend.

I think the target user for sites like travelocity is probably fairly inflexible in their preferences. They want higher income, price insensitive business people who specifically want from point A to point B at time X. The sites and airlines don't really want to cater to College Kid Joe who's carefully weighing his options and playing around with them to save $150. Those people just don't drive revenue.