SYSTEM-OF-RECORD GOVERNANCE IN ENTERPRISE RETAIL PLATFORMS: ARCHITECTURAL DESIGN PRINCIPLES FOR FINANCIAL DATA OWNERSHIP AND CONSISTENCY
DOI:
https://doi.org/10.15662/rr91xc30Keywords:
System-of-Record Governance, Enterprise Retail Platforms, Financial Data Consistency, Data Ownership Architecture, Master Data Management, Distributed Data Systems, Enterprise Integration Architecture, Financial Data Integrity, Retail Platform Modernization, Data Governance FrameworkAbstract
Enterprise retail platforms increasingly operate across complex ecosystems of transactional applications, analytics platforms, and digital customer engagement systems. Within such distributed environments, maintaining a clear System-of-Record (SoR) for financial and operational data becomes a critical architectural requirement. Ambiguity in data ownership, inconsistent synchronization mechanisms, and fragmented governance models often lead to reporting discrepancies, operational inefficiencies, and regulatory compliance risks.
This article examines architectural design principles for establishing robust System-of-Record governance within enterprise retail platforms. The study explores how organizations can define authoritative data sources, enforce data ownership boundaries, and implement synchronization mechanisms that ensure financial data consistency across transactional and analytical systems. The paper presents a generalized governance framework that integrates master data management, event-driven synchronization models, and controlled data replication strategies.
Additionally, the article discusses practical architectural considerations including domain-driven ownership, reconciliation mechanisms, auditability requirements, and data lifecycle management. Through conceptual architectural models and illustrative enterprise scenarios, the paper highlights how well-defined System-of-Record governance can improve financial integrity, enhance operational transparency, and support scalable retail platform modernization.
The findings suggest that establishing clear SoR boundaries, coupled with standardized integration patterns and governance policies, is essential for maintaining reliable financial data across large-scale retail ecosystems. The proposed framework provides architectural guidance for enterprises seeking to modernize retail platforms while preserving financial accuracy and system accountability.
References
[1] S. Nadal, O. Romero, A. Abelló, P. Vassiliadis and S. Vansummeren, "An Integration-Oriented Ontology to Govern Evolution in Big Data Ecosystems," preprint, Jan. 2018.
[2] "Data governance: A conceptual framework, structured review, and research agenda," International Journal of Information Management, vol. 49, pp. 424-438, Dec. 2019.
[3] M. Keil, M. Culnan, T. Dinev et al., "Data Governance, Consumer Privacy, and Project Status Reporting," Information Systems Frontiers, vol. 21, pp. 1207-1212, 2019.
[4] M. A. Saleh and L. C. Walker, "Data Governance and Compliance Challenges in Retail Sector," IEEE Transactions on Big Data, vol. 7, no. 4, pp. 731-743, Dec. 2021.
[5] A. K. Elmaghraby and R. H. Gohar, "Data Governance in Healthcare: A Comprehensive Review," IEEE Access, vol. 8, pp. 67854-67866, 2020.
[6] G. R. K. Smith and J. R. Wilson, "The Role of Data Governance in Modernizing Insurance Processes," IEEE Transactions on Engineering Management, vol. 67, no. 3, pp. 603-615, Sept. 2020.
[7] D. A. Ramirez, J. F. Soto and J. D. Davis, "Comparative Analysis of Data Governance Frameworks in Retail and Insurance," IEEE Access, vol. 9, pp. 124579-124591, 2021.
[8] P. Sawadogo and J. Darmont, "On Data Lake Architectures and Metadata Management," preprint, Jul. 2021.
[9] ISO, ISO 8000 Data Quality Standards, International Organization for Standardization, 2021.
