The hasty outburst of the novel coronavirus COVID-19 has elevated the voices due to upsurge disease cases being reported across the continents. The COVID-19 is the seventh member in the coronavirus family, different from its predecessors MERS-CoV and SARS-CoV. The world has been facing an outbreak generated by the coronavirus and has no specific therapeutics or vaccines. In the absence of vaccines, governments across the continents have been implementing “Social Distancing” to the extent of curfew as a traditional public health measure. Due to the strict implementation of the social distancing, the businesses have converted their default operational mode as work from home. Meanwhile, the healthcare fraternity is working day and night to discover a breakthrough in the anti-coronavirus drug; it is essential to run the economic activities in parallel to save the world from the rescission. The global businesses are now identifying state-of-the-art ways to keep their business operations as usual. Before the COVID-19 pandemic, most organizations’ primary focus was profit and wealth maximization rather than business continuity. Post disruptions, now organizations are adopting business continuity best practices. Adoptation of analytics, business intelligence and artificial intelligence solution is a part of such measures, which ultimately help businesses to track and optimize. This research paper discusses the factors contributing to an organization’s business continuity plan, including the adoption of Analytics and BI solutions. It also analyses the increased popularity of BI solution after coronavirus outbreaks. At the core, the big data, analytics, and BI solutions are also helping to track the virus and scrutinize public healthcare infrastructure availability. It enables the quick identification of the infected people, their travel history, and empowering administrative decision-makers to implement the best viable practice.