As accurate as it is, talking about how vast amounts of data can help solve most of the world’s pressing issues has become a cliché. This, however, does not mean that the importance of big data in solving these problems should be overlooked. Big data is helping in solving many problems more efficiently than before. In many industries, data is being leveraged alongside the advances in data science and the tremendous growth in computing power to solve specific problems fast and effectively. In industries where people have been struggling to make meaning out of vast amounts of text data, for example, machine learning can be used to identify patterns hidden in this data that would have otherwise have gone unnoticed.

The coronavirus pandemic has absolved Aristotle who argued that humans have never been atomized individuals but are social beings whose every decision affects their fellow humans. COVID-19 pandemic is making it clear that each one of us is responsible morally for the risks that others face and the mortality in our neighbourhoods.

While the coronavirus pandemic has left the world bleeding, it has also highlighted weaknesses in the global healthcare systems that were hidden before. It is evident from the response to the pandemic that there was no plan in place on how to treat an unknown infectious disease like Covid_19. Despite the challenges that the world is facing, there is hope in big data and big data analytics. Big data has changed how data management and analysis is carried out in healthcare. Healthcare data analytics is capable of reducing the costs of treatment and can also help in the prediction of epidemics’ outbreak, prevent diseases, and enhance the quality of life.