Auditability and Performance Monitoring Frameworks for Enterprise Decision-Support Systems
TL;DR
This study proposes an integrated Auditability and Performance Monitoring Framework for enterprise DSS environments that unifies structured reporting workflows, transaction traceability, KPI-based performance evaluation, and validation procedures within a single architecture.
Abstract
Reliable enterprise Decision-Support Systems (DSS) require integrated mechanisms for auditability, transparent reporting, and performance measurement to ensure accountability and high-quality decision-making. However, existing approaches often separate audit functions from performance monitoring, resulting in fragmented governance and reduced operational visibility. To address this limitation, this study proposes an integrated Auditability and Performance Monitoring Framework for enterprise DSS environments. The framework unifies structured reporting workflows, transaction traceability, KPI-based performance evaluation, and validation procedures within a single architecture. A Decision-Support Reliability Index (DSRI) is introduced to quantitatively assess overall system effectiveness by integrating key governance and operational performance indicators. The framework is evaluated using five enterprise-inspired benchmark scenarios supplemented by sensitivity analysis. Experimental results demonstrate consistent improvements in reporting reliability, process transparency, compliance efficiency, and operational performance across all scenarios. Even under high-complexity conditions, the framework maintains stable DSRI values, indicating strong robustness and scalability. The findings confirm that integrating auditability with performance monitoring significantly enhances governance quality and decision-support effectiveness in modern enterprise systems.