We're starting Big Data Week’s main London conference and the Economist’s Kenneth Cukier addressing the main criticisms of big data (which he suggests is being decimated in the press currently.)
Big data helps us see more things, new
things, and most importantly better and different things.
Our new ability, provided by improving
technology, to deal with large datasets is important – eg Google grammar’s
check and other algorithms all improve with the size of data items (1/2 milion
+).
It also supports improved computer learning
eg where computers have learnt to play chess by being left to play against
themselves and improves their performance – inferring rather than being taught
what to do.
And it helps identifying differences within
averages eg voting patterns.
Kenneth took us though a few other benefits
too – including the selection of apple pie – but not that much which might be
obviously relevant to HR.
For him, most of the criticisms can be
dismissed – eg Tim Harford’s comments on Google Flu: well, just because the
weather forecast sometimes says it’s going to rain and it ends up being sunny
doesn’t completely destroy the value of the weather forecast. There’s also the issue of ground truth – who
says the ‘real’ flu results were valid – Americans won’t pay for a trip to the
doctors about flu unless it’s really serious.
But he agrees, a blended model is generally
best. And we’re also still at the
beginning of this. I agree – which is
why I suggest most HR practitioners can still hang back from worrying about big
data, and wait until their existing talent management and HR systems start to
provide more functionality in this area.
Once again, I don’t think it’s that we’re afraid of the big, bad data(as the CIPD suggests), it’s that we understand this isn’t a priority – as yet.
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