Visualization of Business Intelligence Insights into Aviation Accidents

Abstract: Despite the recent tragic loss activity, flying is often said to be the safest form of transport, and this is at least true in terms of fatalities per distance travelled. The Civil Aviation Authority reports that the death rate per billion kilometers travelled by aircraft is 0.003, which is much lower than the rates of 0.27 for train travel and 2.57 for vehicle travel. Despite the fact that safety has been the aviation industry's top focus for the last century and a half, accidents involving aircraft continue to be a source of horror even in the present day. Hence, the aim of this project is to identify the major causes and reasons that led to accidents in the aviation industry and to carry out research, finding, design, build and suggest a Business Intelligence (BI) solution to the problem. Throughout the project, it will discover problems, both elementary and critical which needs to be corrected or changed in order to prevent major negative happenings and improve the current situation in a positive way. Tableau will be the primary BI tool used in this process. Data visualization is the graphic depiction of information and data. Data visualization tools offer an easy approach to data analysis that observe and find patterns, outliers, and patterns in data by employing visual elements like charts, graphs, and maps. The project will also cover the initial to building and deployment stage of the BI solution to improve and prevent further accidents.

Loe Piin Piin and Sarasvathi Nagalingham. “Visualization of Business Intelligence Insights into Aviation Accidents”. International Journal of Advanced Computer Science and Applications (IJACSA) 14.1 (2023). http://dx.doi.org/10.14569/IJACSA.2023.0140194

@article{Piin2023,
title = {Visualization of Business Intelligence Insights into Aviation Accidents},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140194},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140194},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {1},
author = {Loe Piin Piin and Sarasvathi Nagalingham}
}