You hear a lot in enterprise computing circles these days about analytics. It basically means taking long streams of data about something important, usually something that gets repeated a lot, crunching through it with a lot of computing oomph and finding useful patterns that can make that repeatable process less costly, more efficient, faster or better in some way — and at the same time, helping to eliminate the bits that get in the way.
It’s something that IBM does a lot of, and does well, and it’s something that Hewlett-Packard is starting to talk about with increasing regularity, especially in the wake of its acquisition last year of Autonomy, while outfits like Splunk and open source efforts like Hadoop make it easier to do the crunching. And there are lots of start-ups working at finding ways to bring new levels of analysis to stale old business data that used to sit collecting virtual dust, unloved and unused on hard drives.
Read More At: AllThingsD