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Scoop.it!
When it comes to successfully implementing a data-informed approach to product analytics, it’s easy to find lists of tips and tactics. It’s much harder to put together a strategy you can return to time and again. Every product is different, of course. There’s not a one-size-fits-all approach. But we do have common methodologies for framing … 
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Scoop.it!
The I Quant NY blog mines NYC's massive data clearinghouse to visualize issues facing city dwellers, from education to eating. Ben Wellington is the man behind I Quant NY, a blog dedicated to telling the stories hidden in New York City’s Open Data Portal, a clearinghouse of more than 1,300 data sets from city agencies. Started by the city government in 2011, the open data initiative’s goal is to facilitate government transparency and increase civic engagement. The blog itself comes out of a stats course Wellington teaches at Pratt Institute’s graduate program for city and regional planning, where he uses these data sets in coursework. Covering everything from gender divides in Citi Bike usage to finding the farthest point away from a Starbucks in Manhattan, Wellington’s larger mission is to get people thinking critically about the numbers that, if analyzed right, can be the key to understanding New York City. He spoke to CityLab about his blog, his hope for the open data movement, and some of his favorite data sets. Via Lauren Moss
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Scoop.it!
The Internet was designed around text-based documents, and as such, has mature infrastructure to encourage and enable the search and discovery of text across the entire web. Video files, on the other hand, are not natively “searchable”, and usually require complex classification systems primarily powered by massive amounts of manually-tagged metadata. But what if there was a way to extract this kind of meaningful metadata automatically? Azure Media Indexer is a media processor that leverages natural language processing (NLP) technology from Microsoft Research to make media files and content searchable by exposing this meaningful metadata to the end-user automatically in the form of a keyword file (XML), a set of closed caption files (SAMI/TTML), and a powerful binary index file (AIB). Via Nicolas Weil
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