Analyzing the Economic Depression Post-COVID-19 Using Big Data Analytics

Mahapatra, Bandana; Bhorekar, Kumarsanjay K.

Various industries like technology, food, agriculture, and education are predicted to suffer major financial and production depreciation. The economic crisis suffered by the major large-scale industry on the other hand is predicted to effect the other economic enterprises effecting the world on a major scale. The lockdown incurred upon the general public is implemented all over the world in order to control the widespread of this pandemic. Coronavirus has hit the worldwide economy tremendously all over the world. Various countries have suffered life loss, temporary stop gap in various industries, economic growth, loss in revenues collected, etc. Though after a span the lockdown was made open, certain extra policies and rules were implemented such as social distancing and no gathering of people more than two or three in a close proximity. Restriction over number of people who can board at the same time over any public places like shops malls have effected the cash inflow to a huge extent. This chapter aims at analyzing the depression suffered by various sectors post-COVID-19 as a result of the lockdown along with various recent policies implemented. It also covers visualizing these issues with big data analytics perspective and how the concept of AI and other technologies is working across in order to solve these issues. It covers in brief how these upcoming technologies have been able to contribute in the healthcare sector while fighting against COVID-19 or uplifting the economy by helping the industry to build and design new models or plans to regain the cash inflow.