Data Foundation Framework: Building the Backbone for Trusted, Scalable, and Compliant Data in Financial Institutions

Authors: Ravikumar Mani Naidu Gunasekaran

DOI: https://doi.org/10.37082/IJIRMPS.v13.i6.232877

Short DOI: https://doi.org/hbkqns

Country: United States

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Abstract: In the era of digital transformation and regulatory scrutiny, financial institutions are increasingly recognized as data as a strategic asset. However, inconsistent definition, fragmented systems, and manual workflows prevent institutions from fully realizing the value of data. A robust Data Foundation Framework (DFF) is essential for establishing trust, enabling advanced analytics, ensuring regulatory compliance, and accelerating innovation. This article provides a detailed blueprint for designing and implementing a scalable, secure, and intelligent data foundation across banking and financial services. It combines an industry data model for Financial Services along with a set of management and infrastructure tools that enable Financial Services institutions to develop, deploy and operate analytical solutions covering key functional areas, including:
• Enterprise Risk Management
• Enterprise Performance Management
• Customer Insight
• Financial Crime and Compliance Management

Keywords: Data, Governance, Framework, Platform, Privacy, Data Quality, Data Model, Financial Services industry.

Paper Id: 232877

Published On: 2025-12-05

Published In: Volume 13, Issue 6, November-December 2025

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