The biggest problem with ever-expanding storage capacities is information hoarding and unrefined data. It's far easier to store years of email on a subject than attempt to summarise it, especially since the storage problems are always shrinking. If I want to know what kind of trends happened over a project, though, I have to sift and distil lots more data before I get any answers. I see that as one of the biggest growth areas in information processing: summarising and distilling data. That way a program can tell you, for instance, that this two-year project was generally run with a policy of prototype design, hasty implementation and change requests.
Mokalus of Borg
PS - With more data being passed around every year, this will become more necessary.
PPS - Search is good only for finding particular parts of a data set.
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