Svetlana Sicular

A member of the Gartner Blog Network

Entries Categorized as '“Data Scientist”'


The Illusions of Big Data

by Svetlana Sicular  |  July 24, 2013  |  1 Comment

I’m afraid that more data and more analytics will create an illusion of solutions while the problems still persist. Many problems are intrinsically not possible to solve. Thousands of years of philosophy testify to that.  Philosophy aside, people cannot agree on elementary things: some of us have firm reasons to vote for democrats, some of [...]

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Gartner’s Big Data Definition Consists of Three Parts, Not to Be Confused with Three “V”s

by Svetlana Sicular  |  April 2, 2013  |  Comments Off

This is my article, published in Forbes last week. Volume, velocity and variety characteristics of information assets are not three parts of Gartner’s definition of big data, it is part one, and oftentimes, misunderstood. Most people only retain about one-third of what they read —  that explains the truncation. However, to get to the essence [...]

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California Legislature Begets Data Scientists

by Svetlana Sicular  |  March 4, 2013  |  Comments Off

The most re-tweeted phrase at the SAS analyst conference (#sassb) today is “A data scientist is a business analyst that lives in California.” Every joke has a bit of truth behind it. Here is a paradox: some simple but essential things slip our attention. What is the last name of Queen Elizabeth II? When did [...]

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Data Revolution, Part 1: Is It a Revolution?

by Svetlana Sicular  |  February 12, 2013  |  1 Comment

Like Lilliputians from Gulliver’s Travels, divided over which end of a boiled egg to crack, modern technologists are debating whether big data is a revolution or an evolution.  Roughly 60% of the delegates at the last week’s Gartner BI Summit in Europe voted on evolution.  It looks more like an evolution to these BI and [...]

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Magic Realism of Big Data

by Svetlana Sicular  |  January 31, 2013  |  2 Comments

Big data is moving from closets full of hidden Hadoop clusters into corner offices, where CEOs and boards of directors issue orders to deliver “big data strategy,” whatever it means. This is called “Activity beyond early adopters” in Gartner’s Hype Cycle. Once in awhile, I get requests to help explain big data, so it would [...]

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Big Data is Falling into the Trough of Disillusionment

by Svetlana Sicular  |  January 22, 2013  |  36 Comments

My presentation on big data for the upcoming BI Summit in Barcelona is obsolete. In this presentation, I use the Gartner Hype Cycle curve to show that big data is at the peak of inflated expectations.  And, as it happens with quickly developing technologies,  I am already behind and big data goes ahead. Last several [...]

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The Sex Appeal of Math to Data Science

by Svetlana Sicular  |  December 18, 2012  |  Comments Off

  “Data scientist is the sexiest job of the 21st century” (Harvard Business Review) “Cybernetics is a whore of imperialism” (Stalin, 20th century) I cannot quite catch an association between these two sentences. Maybe it’s in the transitions: from a whore —  to the sexiest job, from East — to West, from socialism — to capitalism, from [...]

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Think Graph

by Svetlana Sicular  |  November 8, 2012  |  Comments Off

A graph states that something is related to something else: people to people, molecules to molecules, habits to habits. Graph traversals are about paths: of ideas, time or viruses. Russian for “graph” is “граф,” which also means “earl.” In my adolescence, I thought that graph theory is about nobility, and despite my math education, a [...]

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Haute Couture of Big Data

by Svetlana Sicular  |  July 19, 2012  |  2 Comments

Big data haute couture roughly illustrates the state of the market. The question is: does a big data market exist? “Good morning I’m the global waiter at IT infrastructure solutions I was following up on your attendance at the hi dude summit  that was held June 13 and fourteenth,” — I love my email for [...]

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Data Scientist – Mystified

by Svetlana Sicular  |  June 29, 2012  |  7 Comments

Companies are desperately seeking mysterious creatures — data scientists. Some people claim to have seen them in LinkedIn and Target. Perhaps, those were encounters with data scientists from LinkedIn that shop at Target? Or Target data scientists who search on LinkedIn for pregnant teens? Either way, the companies are desperate (except for LinkedIn and Target). [...]

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