L' INTELLIGENCE CYBER par Jean-Paul Pinte

Combining computing, data engineering,mathematics, statistics, and other disciplines,
data science benefits businesses by revealing competitive advantages, customers’ needs, new
opportunities, and previously unforeseen challenges. In recent years, this interdisciplinary field,
along with a movement toward open data science (i.e., an approach to data science using open-
source tools), has started to transform global society. Organizations of all sizes increasingly rely on
data science as critical to their core operations, yet statistics reveal a talent gap in the workforce.
A 2011 McKinsey Global Institute (McKinsey) report predicted that “big data” would grow by 40
percent annually, through 2020 add $300 billion in value to the nation’s health care industry, and
have broad application in a variety of sectors. However, McKinsey also projected a nationwide
shortage of 140,000 to 190,000 workers with “deep analytical skills” and a deficit of 1.5 million
managers capable of applying big data analytics to their decision-making. Nevertheless, company-
wide use of big data and analytics continues to grow rapidly as a critical priority of executives.
McKinsey reported single-year increases in surveyed companies’ use of big data and analytics to
improve decision-making, research and development, and budgeting and forecasting of 17 percent,
14 percent, and 12 percent, respectively.

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