Svetlana Sicular

A member of the Gartner Blog Network

Entries Categorized as 'analytics'


How Many Degrees Are in the 360° View of the Customer?

by Svetlana Sicular  |  March 18, 2014  |  2 Comments

I’ve been watching the CRM space since the term CRM was coined. The view of the customer remained at invariable 360° while new ideas, methods and companies kept adding degree by degree to the full view.  Back in 2009, a CRM icon Tom Siebel was attacked by a charging elephant during an African safari. Ominously, [...]

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Big Data Analytics is a Rocket Ship Fueled by Social, Mobile and Cloud

by Svetlana Sicular  |  March 7, 2014  |  3 Comments

The rocket ship of big data analytics is launched and on its way to orbit.  Data and analytics are gaining importance with a cosmic speed.  The rocket ship is fueled by cloud, mobile and social forces. Information is a single force that gets to the foreground over time while cloud and mobility, once implemented, become less [...]

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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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Personal Analytics

by Svetlana Sicular  |  March 27, 2013  |  1 Comment

I always thought that if all the efforts, energy and money, spent on technology, were invested in studying humans, we would have been equally advanced through mastering our own  capabilities.  I realized just recently that maybe harnessing the incredible human potential is not a direct process, and technology is only a step of the journey [...]

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Data Revolution, Part 2: Is it Industrial or Proletarian?

by Svetlana Sicular  |  March 1, 2013  |  Comments Off

I have a multiple choice question: What kind of data revolution are we in? Industrial Proletarian Social All of the above The industrial revolution of 18-19th century transitioned the world from hand production methods to machines.  The ability to affordably analyze data is similar: first-generation Internet companies, Amazons and Googles, publically performed data alchemy – [...]

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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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My Top Five Gartner Favorites

by Svetlana Sicular  |  January 15, 2013  |  Comments Off

A list of my top five Gartner favorites could be top 25 but I decided to make it short (Gartner’s New Year resolution is to write shorter documents and fewer too). In the past year, prefix “un-“ was quite popular:  un-learn, un-conference, un-remarkable.  My un-analysis compares apples to oranges, and I love all five of [...]

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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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