Designing a Unified Risk Data Architecture for Enterprise Governance, Risk, and Compliance Platforms

Abstract

Enterprise Governance, Risk, and Compliance platforms carry substantial regulatory and operational responsibility, yet their underlying data architectures frequently work against them. Siloed, inconsistently defined risk data distributed across multiple independent systems creates reconciliation overhead, degrades reporting accuracy, and introduces gaps in cybersecurity compliance visibility that governance frameworks such as NIST CSF 2.0 and ISO/IEC 27001 require organizations to close. This article proposes a unified risk data architecture framework built on three interdependent components: standardized integrated data elements, a centralized hub-and-spoke data model, and event-driven automated integration pipelines. The framework is evaluated against performance benchmarks drawn from empirical literature, with evidence indicating that unified architectures may deliver improvement in cross-system data consistency, 50% faster compliance documentation, and 54% lower vulnerability exposure [20]. Alignment between the proposed framework and NIST SP 800-37, COBIT 2019, ISO/IEC 27001, and NIST CSF 2.0 is examined, positioning unified data architecture as a concrete technical implementation of these governance mandates rather than an aspirational design principle.