DATA ANALYTICS: GO BIG OR GO HOME

摘要

That type of activity certainly occurs, but such uses are only the tip of the Big Data iceberg. From predicting flu outbreaks and preventing traffic jams to anticipating shifts in the political Zeitgeist and reducing crime, Big Data science has countless applications—and potential rewards that go beyond what we can currently imagine. "We'd rather call Big Data 'decision analytics,' because processing that data has to help you make better decisions and take intelligent actions in the real world," says Ramayya Krishnan, Ph.D., Dean of Carnegie Mellon University's Heinz College in Pittsburgh, a private graduate school that has been a leader in data analytics since its founding in 1968. "This is why we use 'intelligent action' as the watchword for decision analytics," adds Krishnan, who is also the W.W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at Carnegie Mellon. "The 'intelligent' piece is, how do you derive value from data and make evidence-based decisions? The 'action' piece is, how do you apply this to important problems?"