Integrating Data Governance and Advanced Analytics to Improve Enterprise Decision-Making
DOI:
https://doi.org/10.22399/ijcesen.4512Keywords:
Data governance, advanced analytics, enterprise decision-making, business intelligence, organizational performanceAbstract
In an increasingly data-driven business environment, enterprises are under growing pressure to transform large volumes of data into reliable and timely decisions. This study examines the integrated role of data governance and advanced analytics in improving enterprise decision-making effectiveness. Using a mixed-methods research design, data were collected from medium- and large-scale enterprises through structured surveys and executive interviews. Key constructs included Data Governance Maturity, Advanced Analytics Capability, and Enterprise Decision-Making Effectiveness, which were analyzed using reliability testing, correlation analysis, and Structural Equation Modeling. The findings reveal strong positive relationships between data governance and analytics capabilities, as well as a significant impact of analytics on decision quality, speed, and strategic alignment. Results indicate that organizations with mature governance frameworks and advanced analytical infrastructures achieve superior decision outcomes compared to those with fragmented or siloed systems. The study highlights the synergistic effect of aligning governance structures with analytical processes, demonstrating that neither governance nor analytics alone is sufficient to maximize enterprise value. This research contributes to existing literature by providing empirical evidence on the combined influence of governance and analytics and offers a practical framework to guide enterprises in building integrated, analytics-led decision-making ecosystems.
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