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Notable marketing: Have imagination, will be read

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clocks-mirrors

For all the marketing collatoral the data industry produces, there’s little that I can read without forcing myself. But when the good stuff comes, it’s like a gust of spring air blowing into a stuffy room. That kind of marketing blew into Datadoodle headquarters Friday morning. VisualCue, maker of visualization software done with “tiles,” won the Datadoodle Occasional Prize for Notable Marketing with “Have Data, Will Travel.”

“This week we’re using data to travel through time!,” it declared. We’ll forgive the overuse of the exclamation marks and give credit for the rarest of elements, imagination. This tastefully designed, lively, and jargon-free creation is credited to the “Visual Crew,” but I’m sure it was hatched by just one person.… Read the rest “Notable marketing: Have imagination, will be read”

“Good enough” data analysis will lead to good data analysis

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Someone on Quora asks, “What are the most promising disruptive innovations for the next decade (2011-2020)?”

The always incisive Venkatesh Rao offered a long list. At least one of his predictions brings to mind the decision support industry’s many do-it-yourself tools.

Deprofessionalization/democratization: if you thought blogging taking down professional writing, and amateur photography threatening professional photography were big, you ain’t seen nothing yet. Tons of problems that previously required professional expertise to solve can now be re-engineered so that amateurs can solve them. Movies and education are next.

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Look around. If the tools don’t exist, but the high-margin professionals and eager amateurs do, try and invent them. 

… Read the rest ““Good enough” data analysis will lead to good data analysis”

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”