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Business and Social Sciences

Volume 1 Number 1 2023

Article Contents

RESEARCH ARTICLE   (Open Access)
Contents Vol 1 (1)

Integrating Business Analytics into Public Health Management: A Data-Driven Approach

Niladry Chowdhury1*, Md Sakib Mia1, Md Iqbal Hossain2, Sonia Khan Papia3, Sonia Nashid4

+ Author Affiliations

Business and Social Sciences 1 (1) 1-7 https://doi.org/10.25163/business.1110346

Submitted: 02 October 2023 Revised: 06 December 2023  Published: 08 December 2023 

Abstract

Background: Public health organizations worldwide implement business analytics (BA) for better decision-making and resource optimization as well as health trend prediction. The United States confronted rising influenza alongside COVID-19 and RSV case numbers in December 2023. Methods: The research executed a descriptive cross-sectional study between May and July 2025 to collect data from 110 healthcare staff members working in hospitals and public health organizations and NGOs. Researchers used structured questionnaires to record demographic information together with BA implementation status and organizational readiness alongside perceived advantages and implementation barriers. Data analysis was performed using SPSS version 27 which utilized descriptive statistics along with chi-square tests and percentage distributions. Results: The survey findings indicated that 74% of participants gained faster decision-making through Business Analytics while 68% gained better outbreak prediction capabilities and 59% achieved better resource allocation. The survey results showed 72% of respondents reported staff shortages and 64% expressed data privacy issues while 58% had budget limitations and 52% experienced limited IT infrastructure and 47% had organizational resistance to change. Statistical evaluation revealed that organizations with larger employee counts showed substantially greater adoption rates of Business Analytics (p = 0.05). The integration of Business Analytics strengthens public health management by enabling faster and accurate decision-making. Conclusion: adoption of Business Analytics requires dedicated investments in workforce training and ethical data governance together with targeted resource support for smaller organizations to achieve equitable implementation.

Keywords: Business Analytics, Public Health Management, Data-Driven Decision-Making, Predictive Analytics, Healthcare Technology

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