Businesses may think they have a big data problem.

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That becomes a big data problem.

FORBES: "Big Data" Often Isn't Really, Says Bain

Big Data has been a problem for businesses in the past because it's been expensive to store and because huge amounts of computing power are needed to analyse it to get anything useful from it.

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For the CMO, does this growing wave of Big Data represent progress or a problem?

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Big data requires math, stats, and problem solving skills.

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Too many organizations think they can manage Big Data by throwing increasing amounts of storage at the problem.

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The problem is an enduring fetish to store big data without making plans for how it will be used.

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These programs should not only help solve the supply problem but also assist in dispelling some of the confusion surrounding big data, some of which is caused by the unfortunate label of this simple idea that we should do something useful with all the data that we are creating, collecting, and consuming.

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If say, more than 65% of the data went through one machine, and that machine goes down, it may be a big problem.

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The problem with looking for supporting analysis is that we can probably find it (we have Big Data and a myriad of analytical techniques).

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