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A fun, lively path to smarter cities

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San Francisco-area designer Steve Pepple wondered whether data could help him explore neighborhoods — on the way to helping city planners build better, perhaps “smarter” cities.

He describes in a fun post on Medium, a genuine “data story,” how he set out to help people find “pockets of activity, vibrance, and new things.”

First, he joined a do-it-yourself project called Sense Your City. Sensors around the world reaped “hyper-local data about environmental conditions, such as noise, dust, light, and pollutants.” That data led to “pockets of activity, vibrance, and new things.” In San Francisco, he writes, “you could see when the fog rolls in.”… Read the rest “A fun, lively path to smarter cities”

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”