Integrated Data Governance and Predictive Analytics for Enhancing Public Service Management in Bangladesh: A Framework for Evidence-Based Decision-Making

Abstract

This research paper explores how Bangladesh can enhance its public service management through a comprehensive framework for integrated data governance and predictive analytics. Despite significant advancements through e-governance initiatives, the public sector suffers from fragmented and disconnected data systems, hindering efficient decision-making. This study proposes a holistic framework to integrate data governance across government agencies, enabling predictive analytics to improve policy formulation, resource allocation, and service delivery. By examining the challenges and lessons from global practices, this research provides a practical, scalable framework tailored to Bangladesh's governance needs. The paper highlights how predictive analytics can anticipate issues such as health crises, disaster management, and urban growth, positioning Bangladesh to deliver more efficient, transparent, and citizen-centered governance.