BIG DATA ANALYTICS FOR PUBLIC POLICY: A MULTIDISCIPLINARY APPROACH TO DECISION-MAKING

Abstract

The increasing reliance on Big Data Analytics (BDA) has revolutionized the landscape of public policy formulation and decision-making. This article explores the integration of Big Data in the decision-making processes across various sectors, emphasizing its potential to improve policy outcomes, enhance governance, and foster transparency. The use of Big Data in public policy is examined from a multidisciplinary perspective, considering its applications in healthcare, education, urban planning, and environmental management. By analyzing case studies and the role of data-driven insights, this study highlights the transformative effect of Big Data on public sector decision-making. Challenges related to data privacy, governance, and integration are also discussed. This paper advocates for the development of data governance frameworks and suggests methods for enhancing the efficiency and effectiveness of policies through Big Data-driven strategies.