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To Succeed with Big Data, Begin with the Decision in Mind

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Big data is all the rage at the moment. Vendors talk about it and there are a seemingly endless series of events, articles and, yes, columns about it. Everyone, it seems, is doing big data. But many of us are going about big data all wrong.

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Comments (6)
There is a reason Gartner published this in 2001 and Hadoop made its commercal splash around 2008. Also, this perspective shows why Gartner is still slow to adopt. There is a suttle but poignant change that many of us don't grasp and I suggest neither does James (author of article). Without looking I will bet James is over fifty and possibly struggling with this new and fresh approach to analytics.
Posted by James M | Monday, February 10 2014 at 9:45AM ET
James

If you made an actual point in your comment I would address it. But you don't.

I am neither over 50 or struggling with this "fresh approach to analytics". In part, of course, because there is nothing fresh about the analytics involved. Sure the storage and processing paradigms are different but the analytics are not.

The other thing that is not fresh is that tech-weenies are still telling companies they must spend money on new tech (in this case Big Data) without showing any business value. Installing Hadoop, hiring some whizzkid data scientist and trying to become "the next XXX" is just a way to spend money. Identifying decisions whose outcomes matter to your bottom line, identifying analytics that would help make better decisions and then leveraging big data tech/new data sources to develop those analytics is a way to MAKE money.

Take your pick.

Posted by James T | Monday, February 10 2014 at 6:39PM ET
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