Gartner Blog Network

Tag: 'analysis' Blog Posts

from the Gartner Blog Network

Data Visualization: the Medium is the Message

by Tad Travis  |  December 15, 2014

While evaluating a vendor's new data visualization / big data analysis product last week, I reflected upon the process implications of these tools.  Going beyond the obvious impact to the data/information/analysis/insight/action paradigm...

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New Research on IT Risk Assessment and Analysis Methods

by Ben Tomhave  |  February 3, 2014

I'm pleased to announce that our new paper, "Comparing Methodologies for IT Risk Assessment and Analysis," is now available to Gartner for Technical Professionals subscribers! This research represents a few...

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The Illusions of Big Data

by Svetlana Sicular  |  July 24, 2013

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...

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on analysis one analyst-year in

by Aneel Lakhani  |  February 11, 2013

It's been a little over a year since I joined Gartner. Some things about analysis stick out one anlayst-year in. 1. Numbers don't lie, but beware averages, timescales, local min/max-es...

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The Sex Appeal of Math to Data Science

by Svetlana Sicular  |  December 18, 2012

  “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...

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Cassandra for Greeks or for Geeks?

by Svetlana Sicular  |  August 11, 2012

Technology robs words of their intrinsic meaning: what happened to “like” and “friend”? Is it true that Facebook patented “face”? What is “oracle”? Who is Cassandra — a NoSQL database...

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Pseudo-Tweets

by Svetlana Sicular  |  July 9, 2012

"Never odd or even"  —  palindromes draw respect when they carry at least some spark of meaning; you’ll even read them twice. Some time ago, a good friend of mine...

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Data Scientist – Mystified

by Svetlana Sicular  |  June 29, 2012

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...

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