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December 2011 Blog Posts (25)

IBM's vice president of Big Data Products explains the role of data scientists | ComputerWorld

What is a data scientist? A data scientist is someone who analyzes an organization's big data to discover actionable trends that lead to business results. Data scientists look at what questions business people need to ask to remain competitive. They work directly with C-level executives, advising them on how to drive maximum value from big data and integrate new information. In many ways, a …

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Added by Vincent Granville on December 2, 2011 at 8:33am — No Comments

Ventana Research Unveils Largest Research Ever Conducted on Business Analytics

PLEASANTON, Calif.- February 25th, 2011 - The largest benchmark research ever done on business analytics establishes for the first time that analytics has become the new engine for business competitiveness and profitability. This landmark research from Ventana Research, which involved input from more than 2,850 organizations, makes clear for the first time the little-understood role of business analytics in the success and failure of businesses.



The research found that more than…

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Added by Vincent Granville on December 2, 2011 at 8:30am — No Comments

What is data science?

Below (in italic) is Revolution Analytics point of view. Mine is that is not just science, but a mix of craftsmanship, intuition, art, business acumen, magic and science. I would rather call it data witchcraft, and I call myself a data wizard.

Ever since the term "Data Scientist" was coined by DJ Patil and Jeff Hammerbacker in 2009,…

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Added by Vincent Granville on December 2, 2011 at 8:30am — No Comments

How do your quantify data as large, big, or huge?

How big your data is depends on the quantity of information that it contains (measured using entropy metrics), rather than the number of terabytes. Huge data that is sparse or shallow is indeed not huge - and can be compressed very efficiently. What do you think?

Here's Stfan Carandy's viewpoint (founder of Bayesia Networks):

If I may cross-post the following from our blog at …

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Added by Vincent Granville on December 2, 2011 at 8:28am — No Comments

86 Helpful Tools for the Data Professional PLUS 45 Bonus Tools | Syracuse University

Source: Joshua Kitlas.

I have been working on this (mostly) annotated collection of tools and articles that I believe would be of help to both the data dabbler and professional. If you are a data scientist, data analyst or data dummy, chances are there is something in here for you. Included is a list of tools, such as programming languages and web-based utilities,…

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Added by Vincent Granville on December 2, 2011 at 8:26am — No Comments

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