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My latest in Information Management: “‘Sexy'” Data Science is a Team Sport”

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The word got out last year: data scientist is the “sexiest job,” a late-2012 declaration by the renowned Tom Davenport of “Competing on Analytics” fame. Trouble is, “sexy” goes bad faster than fish.

“Data scientist,” still fresh, is my word of the year. In 2013, the data analysis industry discovered it, many loved or hated it, but most of all, we repeated it. Google Trends shows the mention of it soaring like the 1990s Dow Jones Industrial Average — and you know what happens next.

Alert as data scientists are to patterns, I wonder if many don’t shudder at the “sexy” label.… Read the rest “My latest in Information Management: “‘Sexy'” Data Science is a Team Sport””

The value of small industry events

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Any run-of-the-mill industry event calls itself a failure when just 24 attendees show up. An audience of that size tempts any keynote speaker to flee. The so-called “welcome” reception seems more like a wake for an unpopular deceased. Throughout, a deadly calm fills every room.

Some events of that size, though, sparkle with life. Potential for real, meaningful contact is rich. Interesting conversations last longer. You get to know people better.

The Pacific Northwest BI Summit, held every July in Grants Pass, Oregon, is my prime example. It is the Bohemian Grove of the business intelligence industry. I attended as press for the third time this summer.… Read the rest “The value of small industry events”

Big Data, big hype, big danger

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A remarkable thing happened in Big Data last week. One of Big Data’s best friends poked fun at one of its icons: the Three V’s.

The well-networked and alert observer Shawn Rogers, vice president of research at Enterprise Management Associates, tweeted his eight V’s: “…Vast, Volumes of Vigorously, Verified, Vexingly Variable Verbose yet Valuable Visualized high Velocity Data.”

He was quick to explain to me that this is no comment on Gartner analyst Doug Laney’s three-V definition. Shawn’s just tired of people getting stuck on V’s.

How strange to be stuck on a definition, but we get stuck all the time trying to define Big Data.… Read the rest “Big Data, big hype, big danger”