Passage One
Big data can be defined as information that is too big or complex to be contained or pro- cessed by any one machine or person.
As a student at the University of Sussex, Julian Dailly had two majors-English and phi- losophy. When he completed his studies, Dailly wondered how he would ever earn a living in a worild filled with machines and technology. Now, he is part of the big data industry that includes Google and Facebook.
Dailly's research company, Morar Consulting, started three years ago with five employees. The company's earnings have increased by 25% each year. It now employs 90 people. "What we do here is we try to discover what's meaningful for people and link that to their economic behavior, "Dailly said.
He noted the importance of working with people with different skills. "We have people from traditional research backgrounds, in addition to some in social sciences, economics, people from tech backgrounds, and sales people," Dailly said.
Companies like Dailly's employ recent college graduates. The industry profits from the ideas or these young men and women. New forms of data also make it possible for some observers to predict the future. They are more valuable to companies than the traditional forms of data recording or reporting.
"We have access to the core information inside people's heads, Dailly said. "They tell you what people are going to do as opposed to what they've done. That helps people take proper action in advance. This makes it much more useful for strategy.
Julian Dailly dismisses concerns that computers have finally taken control of our daily lives. "Some may worry that humans will be allowed to be replaced by machines. I think it's a fantasy.

The company's staff is characterized by all the following EXCEPT ____