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The Supply Chain Needs Big-Data to Be Fast Data

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Susan Fourtané
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Re: big data
Susan Fourtané   1/8/2013 6:55:58 AM
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Ariella, 

Data has grown bigger and faster than anything else. Data scientists can keep up with it as much as they can, learning new computer languages, and all. But if there is not a pause in the growth of big data, what's going to happen then?

-Susan 

Susan Fourtané
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Re: Big data
Susan Fourtané   1/8/2013 6:51:33 AM
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Barbara, 

Some big data companies expect to use the data collected for costomization, especially for marketing usage. However, how true and useful this will be? The only certainty is that, as Jenniffer pointed out, big data will become hugh data soon. Can everybody will be able to manage it? 

-Susan

Barbara Jorgensen
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Big data
Barbara Jorgensen   1/7/2013 4:03:14 PM
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I read an article today that suggested analyzing the heck out of everything may not be profitable. Marketing is now a numbers game rather than a "gut feel" or inspiration. I don't know if getting more data and culling from it will enable the kind of customization people expect or just create more noise

Ariella
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Supply Network Guru
big data
Ariella   1/7/2013 3:35:10 PM
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We've only scratched the surface of big data's possibilities, according to yesterday's Gigaom article:

data scientists are the designers and the content creators of today, not the software engineers or the IT bottleneck.

Every organization will need someone wearing the data scientist hat just like very organization has people responsible for product, sales, marketing and support. Unfortunately, to date, the tools available to data scientists have been rudimentary. Data scientists have had to learn diverse and complex computer languages for working with data. That world is changing as we create simpler ways for data scientists to use big data.

 

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