From Quality to Value: How Robust Data Governance Drives Analytics-Led Business Performance

Abstract

In an era where data has become a strategic organizational asset, the ability to convert high-quality data into measurable business value remains a critical challenge. This study examines how robust data governance frameworks drive analytics-led business performance by strengthening data quality and analytics capabilities. Using a quantitative research design, data were collected from organizations across multiple industries and analyzed through reliability testing, factor analysis, and structural equation modeling. The findings reveal that data governance significantly improves data quality and analytics capability, which in turn have a strong positive impact on business performance. The results also confirm the mediating role of analytics capability in transforming data quality into organizational value, and highlight the moderating effect of digital maturity on governance effectiveness. The study contributes to both theory and practice by providing empirical evidence of the integrated pathway from governance to quality, analytics, and performance. The findings offer practical insights for managers and policymakers to design data governance strategies that move beyond compliance toward sustainable competitive advantage and value creation.