Big data analytics in the field of multifaceted analyses: A study on “health care management”

Rakibul Hasan Chowdhury 1, 2, *

1 Digital Business Management, 2022, University of Portsmouth, UK.
2 MS Business Analytics 2025, Trine University, USA.
Review Article
World Journal of Advanced Research and Reviews, 2024, 22(03), 2165–2172
Article DOI: 10.30574/wjarr.2024.22.3.1995



Publication history: 
Received on 23 May 2024; revised on 28 June 2024; accepted on 30 June 2024
In contemporary business and technological landscapes, Big Data analytics stands at the forefront of transformative methodologies, enabling organizations to extract actionable insights from vast and complex datasets. This paper explores the multifaceted applications of Big Data analytics across diverse sectors, emphasizing its role in uncovering hidden patterns, trends, and correlations to support informed decision-making and strategic planning. Methodologies such as machine learning, artificial intelligence, and predictive analytics are pivotal in harnessing the potential of Big Data to enhance operational efficiencies and drive innovation.
Key topics include the integration of advanced technologies into business strategies, the impact of data-driven insights on organizational performance, and the evolving role of analytics in shaping competitive advantage. The study also addresses challenges such as data privacy, scalability, and ethical considerations inherent in the utilization of Big Data analytics.
By synthesizing current research and case studies, this paper provides a comprehensive overview of the evolving landscape of Big Data analytics and its implications for businesses in the digital age. It underscores the importance of leveraging technological advancements to maximize the value of data assets and adapt to dynamic market conditions.
Business Analytics; Technology Integration; Predictive Analytics; Machine Learning; Competitive Advantage.
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