Why Sears Is Going All-In On Hadoop - InformationWeek

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Why Sears Is Going All-In On Hadoop
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Soozy G. Miller
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Soozy G. Miller,
User Rank: Strategist
12/5/2012 | 3:34:31 PM
re: Why Sears Is Going All-In On Hadoop
"But will companies be interested in buying big data cloud and consulting services from Sears?"

So, what, is Sears planning on entering a whole new market? Then again, The Gap started by selling music and jeans.
Soozy G. Miller
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Soozy G. Miller,
User Rank: Strategist
12/5/2012 | 3:31:54 PM
re: Why Sears Is Going All-In On Hadoop
@srentner good point. It's great that Sears has a great big data solution; it's quite another to get the analytics to put that big data to use.
srentner
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srentner,
User Rank: Apprentice
10/31/2012 | 7:59:28 PM
re: Why Sears Is Going All-In On Hadoop
The final questions are extremely apropos and often cause the most confusion: "Could quick analytical access to an entire decade of medical record data change how doctors diagnose and treat patients? Could faster processing spot financial services fraud more effectively?" This is not what Hadoop does. It is not an analytics technology, as pointed out in page 1. Extracting this type of valuable insight from the data requires a new class of analytics technologies, and the more powerful the mathematical algorithms, the faster and more accurate the insight.
Ellis Booker
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Ellis Booker,
User Rank: Moderator
10/31/2012 | 3:07:19 PM
re: Why Sears Is Going All-In On Hadoop
This is a big story on a number of fronts. First, it clearly expresses the value of big data analysis for retailers. As one of the Sears executives puts it, "With Hadoop we can keep everything, which is crucial because we don't want to archive or delete meaningful data." Second, it addresses the oft-heard complaint that big data solutions are prohibitively expensive--in fact, Sears says it reduced mainframe costs by more than $500,000 per year. Finally, the installation moves the retailer closer to real-time analysis: "Sears can develop in three days interactive reports that used to take IT six to 12 weeks." --Ellis Booker, InformationWeek Community Editor


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