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Stupid analytics gets them talking

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If data analysis somehow ends up supporting an unwise choice, should we blame the data? Of course not, no more than we should blame a stethoscope for a bad medical diagnosis or fingerprints for a bad courtroom verdict. Common sense says the only ones responsible are the humans involved.

AllAnalytics contributing editor James M. Connolly wrote last week in defense of common sense in a good blog post, “Analytics won’t cure stupidity.”

Let’s admit it, we know the limitations of data analysis. The obvious truth whispers to us in the quiet of our own little minds, and that truth can also find a voice in private business conversations over a beer or lunch.… Read the rest “Stupid analytics gets them talking”

People who analyze data, collaborate!

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In business, we’ve got data scientists, we’ve got accidental analysts, and we’ve got a million variations in between. Dave Wells thinks they can learn from each other. To help that start up, he’s forming an organization he’s calling Business Analytics Collaborative.

The diversity and fragmentation that challenge those trying to reach this market are the reasons that community building is difficult. Our conclusion is that we need to build the community from the ground up – taking a sort of grass roots approach that begins with local meetups. By stepping away from digital overload and starting locally and face-to-face we can move away from fragmentation while at the same time finding value in the diversity of the analytics space.

… Read the rest “People who analyze data, collaborate!”

“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”