Data Virtualization: A Transformative Approach to Enterprise Performance Management in Investment Banking

This article examines the transformative role of data virtualization in Enterprise Performance Management (EPM) systems within investment banking. The article explores how data virtualization technology addresses traditional challenges of data silos, system integration, and operational inefficiencies in banking institutions. Through a comprehensive analysis of current EPM systems, the article investigates the implementation of virtual data layers, their impact on operational efficiency, and the resulting improvements in data accessibility and processing capabilities. The article further examines architectural considerations, risk management strategies, and performance optimization techniques in virtualized environments. By analyzing both challenges and solutions, this article demonstrates how data virtualization is revolutionizing EPM systems, enabling real-time data access, enhancing regulatory compliance, and improving customer service delivery in the investment banking sector.

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Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-05-14
DOI
https://doi.org/10.32996/jcsts.2025.7.4.48
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

Data Virtualization: A Transformative Approach to Enterprise Performance Management in Investment Banking

Vishal Gangarapu
1 citations
Journal of Computer Science and Technology Studies
Big Data and Business Intelligence
2.28
article

Data Virtualization: A Transformative Approach to Enterprise Performance Management in Investment Banking

Vishal Gangarapu
article en
1 citations

Abstract

This article examines the transformative role of data virtualization in Enterprise Performance Management (EPM) systems within investment banking. The article explores how data virtualization technology addresses traditional challenges of data silos, system integration, and operational inefficiencies in banking institutions. Through a comprehensive analysis of current EPM systems, the article investigates the implementation of virtual data layers, their impact on operational efficiency, and the resulting improvements in data accessibility and processing capabilities. The article further examines architectural considerations, risk management strategies, and performance optimization techniques in virtualized environments. By analyzing both challenges and solutions, this article demonstrates how data virtualization is revolutionizing EPM systems, enabling real-time data access, enhancing regulatory compliance, and improving customer service delivery in the investment banking sector.

Journal of Computer Science and Technology StudiesVol. 7(4)
Texas A&M University (US)
Openalex Percentile: Top 12%
Big Data and Business Intelligence
2.28
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