Author Archives: GilPress

About GilPress

I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress

Management Education in the Age of Big Data

What if business schools based their entire curriculum on the fundamentals of business analytics? McKinsey estimates that the demand for “deep analytical positions” in the U.S. will exceed supply by 140,000 to 190,000 positions and that there will be a need … Continue reading

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Big Data Bytes: “Information technology has entered a big-data era”

“From social media to medical revolutions anchored in metadata analyses, wherein astronomical feats of data crunching enable heretofore unimaginable services and businesses, we are on the cusp of unimaginable new markets.”–Mark Mills and Julio Ottino, “The Coming Tech-Led Boom,”  The … Continue reading

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What’s a Data Scientist? One More Definition

Shawn Hessinger at AllAnalytics.com summarizes yesterday’s e-chat with Gartner’s Doug Laney on what data scientists do and who they are. Gartner’s definition of a data scientist: Responsible for mining, modeling, interpreting, blending, and extracting information from large datasets and then … Continue reading

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Big Data Bytes: More on What’s a Data Scientist?

Chuck Hollis calls Data Scientists “rock stars” and argues that they are “a fundamentally different profession with a different profile than the BI analysts that came before [them].  They’re more likely to have advanced degrees, frequently have a background in … Continue reading

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Big Data Bytes of the Week: What’s a Data Scientist?

What’s a Data Scientist? Joshua Konkle, Vice President at DCIG, quoted (scroll down) a few definitions earlier this week:

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Big Data Bytes of the Week: The End of Big Data?

The end of Big Data? Based on his discussions with CIOs, reports Derrick Harris at GigaOm, Opera Solutions’ CEO Arnab Gupta “thinks the analytics market will crest around the end of next year as CIOs face enormous data spikes.”  Is … Continue reading

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Asking Good Questions is What Will Make Big Data Work for You

Asking good questions as the key to unleashing the potential of big data got significant blog time this past week.

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The 7 Cs of the Cloud: A Big Data Taxonomy

What’s the new landscape of the information business as Cloud Computing and the Big Data Wave usher in the Age of Big Cloud Data (ABCD)?

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The First Law of Big Data

EMC released today the 5th annual Digital Universe study from IDC.  So now we have five years’ worth of estimating, with a consistent methodology, the amount of data created and copied annually in the world. It turns out that the … Continue reading

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Crowdsourcing and Big Data

The Wikipedia article on Big Data says it “requires exceptional technologies to efficiently process large quantities of data within tolerable elapsed times.” The examples given (Hadoop, MapReduce, Cloud Computing, etc.) do not include one very exceptional technology, the human brain, … Continue reading

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