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Scoop.it!
It's time to prioritize your information security and protect your data assets, devices, and systems. 
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Scoop.it!
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THE OFFICIAL ANDREASCY's insight:
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Jane Shamcey's curator insight,
June 8, 2015 7:12 AM
The best way to keep on top of the latest tech information is to subscribe to our newsletter: http://swyy.co/EAqLdtE 
Stephania Savva, Ph.D's curator insight,
June 8, 2015 7:14 AM
Seek no further for reliable and up to date tech news from around the globe delivered right to your inbox. Also check their latest tweets: https://twitter.com/andreaschriscy
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A simple Google image search on “big data” reveals numerous instances of three dimensional one’s and zero’s, a few explanatory infographics, and even the interface from The Matrix. So what does “big data” look like, within human comprehension? From the beginning of recorded time until 2003, humans had created 5 exabytes (5 billion gigabytes) of data. In 2011, the same amount was created every two days. It’s true that we’ve made leaps and bounds with showing earlier generations of data. However, when it comes to today’s big data, how it looks can help convey information but it needs to be more than just beautiful and superficial. It has to work, show multiple dimensions, and be useful. New software and technologies have enabled us to gain higher level access to understanding these enormous sets of data. However, the only way we’re going to truly gather and juice all the information big data is worth is to apply a level of relatively unprecedented data visualization. How do we get to actionable analysis, deeper insight, and visually comprehensive representations of the information? The answer: we need to make data more human. Via Lauren Moss, michel verstrepen
Ron Leunissen's curator insight,
January 13, 2014 7:27 AM
Drinking from a fire hose is not possible. Neither is reading in a data stream of about 2,5 billion gigabytes per day! 
Andreas Maniatis's curator insight,
January 13, 2014 12:05 PM
How do we get to actionable analysis, deeper insight, and visually comprehensive representations of the information? The answer: we need to make data more human. |
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Editor’s Note: This post was originally published April 2, 2015 and was updated for accuracy and comprehensiveness on August 16, 2017. Let’s say you noticed your business wasn’t acquiring as many new customers as you expected, Via Andreas Christodoulou
Andreas Christodoulou's curator insight,
August 29, 2017 11:15 AM
Want more sales? Be creative! Focus on lifetime value and repeat business. Here's why.
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A NEW data analytics lab, jointly funded by NICTA and RMIT University, will make it easier for industry to partner with world-class researchers for big data projects. Via RMITComputer Science&IT
RMITComputer Science&IT's curator insight,
November 27, 2014 12:29 AM
The Australian interviews Professor Timos Sellis over the new NICTA RMIT Data Analytics Lab, which he jointly leads with Professor Mark Sanderson. |
An essential read for anyone keen to salvage the little privacy we have left.Â
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READ ALSO: How to Protect Your Company’s Email Against Cyberattack