Big Data Analysis in the Clouds
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Big Data Analysis in the Clouds
Scientific, economic, social, political and cultural issues
Curated by Pierre Levy
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The CIA takes an interest in Narrative Science's quick summaries of big data

The CIA takes an interest in Narrative Science's quick summaries of big data | Big Data Analysis in the Clouds | Scoop.it
While visualizations have gotten plenty of attention as options for getting good stuff out of data, In-Q-Tel’s investment in Narrative Science suggests information in paragraphs could work too.
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Strata Summit 2011: Kristian Hammond, "Generating Stories from Data"

As the world of data expands, the challenge of understanding it expands as well. Narrative Science is addressing this challenge with a software platform that...

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Mlik Sahib's curator insight, April 16, 2013 6:05 PM

As the world of data expands, the challenge of understanding it expands as well. Narrative Science is addressing this challenge with a software platform that uses data to drive the generation of compelling narratives that tell the stories contained within it. The technology tells the stories that are hidden in the numbers.

Kristian Hammond

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The Value of Big Data Isn't the Data

The Value of Big Data Isn't the Data | Big Data Analysis in the Clouds | Scoop.it
To make the data useful, you need to turn it into a narrative. To do that at scale, you need machines.
Pierre Levy's insight:

Turning data into story

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Renato P. dos Santos's curator insight, May 2, 2013 12:52 PM

Para tornar o Big Data em algo útil, há que torná-lo em uma narrativa.

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Tom Davenport: big data is too important to be left to the 'quants' | ZDNet

Tom Davenport: big data is too important to be left to the 'quants' | ZDNet | Big Data Analysis in the Clouds | Scoop.it
The author and visiting Harvard professor says everyone should have a role in analytics. 'Narratives' might tell a clearer story.
Pierre Levy's insight:

One of the challenges with big data -- or with most data analytics efforts over the years -- is that it has typically been relegated to analysts and holders of Ph.Ds in mathematics or statistics. Thus, it's been highly intimidating territory for most business decision-makers. Organizations are striving to compete on analytics, and hiding the processes and management of data analysis in a back room isn't going to cut it anymore.

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