Open Access

UNVEILING AFFLUENCE: A BIG DATA PERSPECTIVE ON WEALTH ACCUMULATION AND DISTRIBUTION

https://doi.org/10.55640//ijmcsit-v02i06-03

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Dr. Carlos A. Benítez ¹ , Prof. Prashant Singh Baghel ¹ ,

⁴ School of Data Science and Public Policy, Universidad de los Andes, Colombia

⁴ Centre for Data Analytics and Social Policy, Indian Institute of Technology Delhi, India

Abstract

The global landscape of wealth distribution is characterized by significant disparities, with a growing concentration of wealth at the apex. This article presents a comprehensive big data analysis of wealth accumulation patterns, aiming to uncover the multifaceted factors contributing to extreme wealth and its implications. Leveraging a large dataset of global billionaires, we investigate the "5 Vs" of big data—Volume, Velocity, Variety, Veracity, and Value—to systematically examine trends, drivers, and societal impacts. Our findings illuminate the complex interplay of economic, social, and technological forces in shaping wealth dynamics, offering insights into the institutional drivers, sectoral influences, and individual attributes associated with extraordinary wealth. The study contributes to the ongoing discourse on wealth inequality by providing an empirical, data-driven perspective on a critical contemporary issue.

Keywords

Wealth accumulation, wealth distribution, big data analytics, socioeconomic analysis

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UNVEILING AFFLUENCE: A BIG DATA PERSPECTIVE ON WEALTH ACCUMULATION AND DISTRIBUTION

Abstract

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