Traditional regulatory agencies struggle to balance their preventative role with the limitations of their capability (resources, legal powers, and so on). Such limitations reveal themselves in poor decision-making.
Historically, regulators have made decisions on what is known – meaning they rely on the data that they hold. But even massive expenditure on data and data analytics can make only marginal differences if the answers are only partly in the data.
Hence, contemporary regulators a…
