The integration of business analytics in smart cities represents a paradigm shift in urban development, leveraging data-driven insights to enhance efficiency, sustainability, and quality of life. This paper explores the significance of business analytics in the context of smart cities, aiming to understand its implications for urban planning, resource allocation, and decision-making processes. Through a comprehensive review of existing literature and case studies, the paper examines the diverse applications of business analytics in smart city initiatives, ranging from optimizing transportation systems to improving public safety and infrastructure management. Despite the potential benefits, challenges such as data privacy concerns, skills gaps, and organizational barriers pose significant obstacles to effective implementation. By analysing successful integration strategies and identifying key lessons learned, this paper offers insights and recommendations for policymakers, urban planners, and other stakeholders to harness the full potential of business analytics in shaping the cities of tomorrow.
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