Analytic Dashboard Visualization: Using A Business Intelligence Tool to See the Covid Spread Data Differently

  • Amarjeet Singh Mastana


While technology has been a blessing to the overall population when used correctly, corporations use data to make data-driven choices, and data Visualize is a crucial aspect. Individuals are more reliant on instant communication and internet access than ever before. Knowledge that was previously guarded yet distributed locally is now connected and shared online among people in the digital era like never before. The ability to access this data opens up a world of possibilities, and in order to make these possibilities a reality, individuals must use data to solve issues. Ironically, as a result of a worldwide pandemic, individuals all across society are seeking trustworthy information about the Coronavirus. Power BI is a significant factor in this circumstance, because this is an incredibly strong tool for quickly displaying large amounts of data. Power BI covers a broad range of datasets, and the dashboard investigates the consequences of viruses, their spread and intensity, and aims at providing an educated assessment of the issue. This dashboard provides dynamic and concentrates on keeping the users engaged with the most recent data on coronavirus patterns in all countries throughout the world, providing the end-user with a benchmark across different areas of the world. It will illustrate how the spread and deaths have progressed over time. At a glance, this dashboard would transmit critical data, highlight the most impacted regions, and include indicators that would keep track of significant statistics, motivating the end-user to grasp the unpredictable aspect of the present position and take appropriate preventative actions.


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How to Cite
MASTANA, Amarjeet Singh. Analytic Dashboard Visualization: Using A Business Intelligence Tool to See the Covid Spread Data Differently. International Journal of Advanced Research in Technology and Innovation, [S.l.], v. 3, n. 3, p. 80-91, oct. 2021. ISSN 2682-8324. Available at: <>. Date accessed: 30 nov. 2021.