The COVID-19 pandemic has meant that data-driven decisions have influenced all our lives over the last two years. But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results.
For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 to justify lockdown policy decisions based on a forecast that 500,000 deaths would occur if no action was taken. But questions have been raised about these Data Modeling predictions and the need for such stringent lockdown measures in the early days of the pandemic.
