Big data covers every facet of our working life. Every aspect of pharmaceutical research and development involves the generation of huge quantities of data, with the expectation that we can turn this information rapidly into useful knowledge, which in turn can be used to make ‘data-driven’ decisions to better understand and control processes. This derived knowledge can also be used to reduce costs, improve efficiencies, reduce development times and facilitate rapid post-approval changes.