Real-Time Data in Public Sector Software: Enhancing Transparency for Governments and Citizens

Abstract

Real-time data has emerged as a transformative tool in public sector software, reshaping how governments manage information and interact with citizens. This study examines the extent to which real-time data integration enhances transparency by analyzing system performance metrics, citizen engagement patterns, and departmental transparency indicators across multiple government platforms. Using a mixed-methods approach combining system log analysis, user analytics, regression modeling, and qualitative interviews, the study reveals that high system uptime, low latency, and strong data accuracy significantly improve transparency outcomes. Citizen engagement emerged as the strongest predictor of perceived openness, while spatial and temporal analyses demonstrated uneven accessibility influenced by infrastructural and socio-technical factors. The findings underscore that transparency results from the synergy between robust technological performance, responsive administrative processes, and active citizen participation. Strengthening real-time data infrastructures and promoting inclusive digital engagement are therefore critical for advancing transparent, accountable, and citizen-centric governance.