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Data is all around us. It’s in the computers we use. It’s in the machines we operate. It’s in a huge pile after a single hospital visit.

Data science is the key to unlocking value from big data, but it must be combined with micro-vertical domain expertise, writes Infor president Duncan Angove.

Consider:

  • 30 MB of data are required to store an X-ray
  • 150 MB are required to store a single MRI
  • 3 GB are required to store the human genome
  • 660 terabytes are necessary to power a single hospital

Data is exploding at an unprecedented pace. Ninety percent of all of the data in the world was created in just the past two years. Every year from now, that data will double. So the question becomes: How do we make big data smaller, so it’s meaningful and useful?

The answer is data science. The UC Berkeley School of Information defines data science as the field “emerging at the intersection of the fields of social science and statistics, information and computer science, and design,” suggesting just how varied the talents required are to fully harness this recent explosion of information.

From big data to smart data

Find out more about big data to smart data in the full article on Diginomica

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