This week, guest contributor Sean Farrington delved into the world of professional data scientists and chief data officers, looking to determine whether such roles were fact or fad. He ultimately concluded that data scientists and chief data officers are potentially very valuable to enterprises, but their value is limited if they’re not fully integrated into the workings of the business:

Now, we want to hear from you- do you agree with Sean’s findings? Are Chief Data Officers Essential to Enterprises?

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(Image credit: Marco Bellucci)

The past few weeks have seen Facebook under fire over the announcement that it has been running secret “mood altering” experiments on members. In summary: their technology has allowed them to alter the content displayed to members in a way that elicits a measurable emotional response.

While the revelations were shocking, the responses varied. Some thought it was outright deception, while others of thought Facebook was completely entitled to conduct such tests.

In this weeks poll, we want to hear from you.

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(Image Credit: Robert Scoble)

Earlier this week we featured a guest post from Jamal Khawaja, in which he outlined four key rules for knowing when your company is ready to dive into Big Data.

Which do you think is this most crucial consideration?

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According to a recent survey, 67% of companies will move their data to the cloud in the next two years; 1 billion smartphones were sold in 2013, with 1/5th of global internet traffic coming from mobile; and predictions estimating big data to grow at 32.14 percent compound annual growth rate.

As Jamal Khawaja wrote in this weeks article, “for visionaries that elect to invest hard dollars in Cloud, Mobile and Big Data technologies today, the future promises to be a leaner, more agile, and more profitable environment. For the others, I expect to see a bloody and agonizing conflict between those that catch-up and those that fall to the wayside”

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The hype around the term “big data” can be pernicious. The ubiquity of the term, coupled with a lack of understanding about what it actually means, often leads to overly-ambitious expectations of what big data projects can actually achieve.

This week, guest contributor Jamal Khawaja aimed to clear the fog around big data by busting some common myths. We’re intrigued to know which one of these myths our readers think is the biggest error, and most likely to lead to failing, ill-thought-out big data initiatives:

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We will be releasing the results of this poll in our newsletter next week! Sign up here:

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