Implementing data-driven decision-making in Saudi Arabia’s public sector: A path to progress

This study explores the use of data-driven decision-making (DDDM) in Saudi Arabia’s public sector, examining its role in improving governance efficiency and supporting the goals of Saudi Vision 2030. A quantitative analysis was conducted with 382 employees from various public sector organizations to assess the current level of DDDM adoption, challenges to its implementation, and its effects on organizational performance. The study applies the Technology-Organization-Environment (TOE) framework to identify factors influencing DDDM adoption. The results show a positive relationship between DDDM and improved decision-making quality, operational efficiency, and alignment with national development objectives. However, key challenges include issues related to data quality, skill shortages, and organizational resistance. The findings offer useful insights for policymakers and public sector administrators, providing recommendations for the effective integration of DDDM to enhance public sector performance.