Thesis Abstract

Abstract
Public administration faces increasing pressure to improve performance measurement to enhance service delivery and accountability. This thesis explores the utilization of data analytics as a strategic tool for enhancing performance measurement in public administration. The study investigates the current state of performance measurement practices in the public sector and identifies challenges hindering effective measurement. Through a comprehensive literature review, the research examines the benefits of data analytics in improving performance measurement and enhancing decision-making processes. The research methodology involves a mixed-methods approach, combining quantitative data analysis and qualitative case studies. The study evaluates the implementation of data analytics tools and techniques in selected public administration agencies to assess their impact on performance measurement practices. Key performance indicators are identified, and data analytics models are developed to analyze and interpret performance data effectively. Findings from the study demonstrate the significant potential of data analytics in transforming performance measurement in public administration. The results highlight the importance of integrating data analytics tools into existing performance measurement frameworks to enhance data collection, analysis, and reporting processes. The study also identifies key success factors and challenges in implementing data analytics for performance measurement in public administration. The discussion of findings explores the implications of utilizing data analytics for improving performance measurement and decision-making in public administration. The study underscores the need for capacity building and training to enhance data analytics skills among public sector employees. Recommendations are provided for policymakers and practitioners to leverage data analytics effectively for enhancing performance measurement practices. In conclusion, this thesis contributes to the growing body of knowledge on the application of data analytics in public administration for improving performance measurement. The research findings underscore the transformative potential of data analytics tools and techniques in enhancing performance measurement practices and fostering a culture of data-driven decision-making in the public sector. The study offers valuable insights and recommendations to guide future research and practice in utilizing data analytics for performance improvement in public administration.

Thesis Overview

The project titled "Utilizing Data Analytics for Improving Performance Measurement in Public Administration" aims to explore the potential benefits of data analytics in enhancing performance measurement practices within the field of public administration. This research overview provides a comprehensive explanation of the project, highlighting the significance of the topic, the research objectives, the methodology employed, and the expected contributions to the field. In recent years, data analytics has emerged as a powerful tool for extracting insights and valuable information from large datasets. This technology has the potential to revolutionize the way performance measurement is conducted in public administration by providing more accurate, timely, and actionable data-driven insights. By leveraging data analytics techniques, public administrators can make more informed decisions, optimize resource allocation, and improve overall organizational performance. The primary objective of this research is to investigate how data analytics can be effectively utilized to enhance performance measurement practices in public administration. By conducting a thorough literature review, the research aims to identify existing frameworks, methodologies, and best practices in the use of data analytics for performance measurement in the public sector. Through the development of a comprehensive research methodology, including data collection methods, analysis techniques, and evaluation criteria, this project seeks to provide practical recommendations for implementing data analytics in public administration. The research methodology will involve a combination of qualitative and quantitative research approaches, including case studies, surveys, interviews, and data analysis techniques. By collecting and analyzing data from various public administration organizations, the research aims to identify common challenges, barriers, and success factors in implementing data analytics for performance measurement. The findings of this study will be used to develop a set of practical guidelines and recommendations for public administrators looking to leverage data analytics for performance improvement. The expected contributions of this research include advancing the understanding of how data analytics can be applied to enhance performance measurement in public administration. By providing practical insights and recommendations, this project aims to empower public administrators to make more informed decisions, improve organizational efficiency, and drive positive outcomes for citizens and stakeholders. Additionally, this research will contribute to the broader body of knowledge on the use of data analytics in the public sector, filling a gap in the existing literature and paving the way for future research in this area. Overall, the project "Utilizing Data Analytics for Improving Performance Measurement in Public Administration" holds the potential to drive significant advancements in the field of public administration by harnessing the power of data analytics to enhance performance measurement practices. Through a rigorous research approach and practical recommendations, this study seeks to empower public administrators with the tools and insights needed to optimize organizational performance and achieve better outcomes for society as a whole.