Advancing Data Consistency and Control Across Global Financial Institutions by Enterprise Master Data Platforms

Authors

  • Nagender Yamsani Technical Lead , USA Author

DOI:

https://doi.org/10.21590/ijtmh.2.01.3

Keywords:

Enterprise master data management, enterprise data governance, data consistency and control, global financial institutions, reference data standardization, client data integration, enterprise data platforms, operational risk management, regulatory reporting integrity, data lineage and traceability, data stewardship models, risk data aggregation.

Abstract

This research examines how enterprise master data platforms enable data consistency and operational control across global financial institutions operating in complex, highly regulated environments. As financial institutions expand across jurisdictions, products, and legal entities, fragmented client and reference data has emerged as a persistent source of operational risk, reporting inconsistency, and governance failure. The purpose of this research is to examine enterprise master data management not as a technical integration initiative, but as a strategic control capability that underpins trusted business operations. The study adopts a qualitative, evidence-based approach, combining architectural analysis with structured evidence mapping derived from large-scale implementations within global financial institutions. The analysis identifies recurring design patterns in master and reference data platforms, including governance structures, stewardship models, control workflows, and lineage mechanisms, that collectively enable consistent enterprise-wide data representation. Key findings suggest that institutions achieving high levels of data consistency experience reduced reconciliation effort, improved auditability, and stronger alignment between operational processes and regulatory expectations. The study further demonstrates that operational control is strengthened when data governance is embedded into platform workflows and business decision points rather than managed as an isolated compliance function. From an academic perspective, this research extends existing data governance literature by explicitly linking enterprise data consistency to operational control outcomes. From a strategic industry perspective, it provides a practical framework for designing, governing, and sustaining enterprise master data platforms that support risk management, regulatory confidence, and decision integrity. The study concludes that enterprise master data platforms constitute a foundational capability for resilient, transparent, and controllable operations in global financial institutions.

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Published

2016-03-25

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