Data-driven science, the interdisciplinary field of scientific methods, is increasingly being used by governments and businesses to develop policy and strategy. We look at some examples. There is no straightforward definition of data science, given the array of different applications. One common area is to describe data science as the ability to extract knowledge and insights from large and complex data sets.
Data science draws on the theory and practices of areas of mathematics, statistics, information science, and computer science. Data is of great value in the digital society, for both governments and enterprises, generating significant economic, social and scientific value from data. Data science is not always accurate, however, and predictions can fall short of the mark.
Author: Tim Sandle