Thesis Abstract

Abstract
This thesis investigates the use of data analytics to improve performance management in local government agencies. In recent years, there has been a growing emphasis on leveraging data-driven insights to enhance organizational efficiency and effectiveness. Local government agencies play a crucial role in delivering services to citizens, and optimizing their performance can lead to better service delivery and resource allocation. This study aims to explore how data analytics can be applied within the context of local government agencies to drive performance improvements. The research begins with a comprehensive review of the existing literature on data analytics, performance management, and their intersection in the public sector. This literature review identifies key concepts, theories, and best practices that inform the research methodology. The methodology chapter outlines the research design, data collection methods, and analytical techniques employed in this study. The research methodology is guided by a mixed-methods approach, combining qualitative and quantitative data analysis to provide a holistic understanding of the subject matter. The empirical findings reveal the potential benefits of implementing data analytics in local government agencies to enhance performance management. Through the analysis of case studies and interviews with key stakeholders, this study identifies specific strategies and tools that can be used to leverage data analytics for performance improvement. The discussion chapter critically examines the findings and discusses their implications for theory and practice. It highlights the challenges and opportunities associated with implementing data analytics in the context of local government agencies. In conclusion, this thesis demonstrates the significance of data analytics in enhancing performance management in local government agencies. By harnessing the power of data-driven insights, local government agencies can make informed decisions, optimize resource allocation, and improve service delivery to citizens. The findings of this study contribute to the existing literature on data analytics and performance management in the public sector, offering practical recommendations for policymakers, managers, and researchers. Overall, this research underscores the importance of embracing data analytics as a strategic tool for driving performance improvement in local government agencies.

Thesis Overview