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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Data integration challenges in multi-cloud EPM environments: A comprehensive analysis

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  • Data integration challenges in multi-cloud EPM environments: A comprehensive analysis

Vishal Gangarapu *

Texas A&M University, USA.

Review Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 512-518

Article DOI: 10.30574/wjaets.2025.15.2.0625

DOI url: https://doi.org/10.30574/wjaets.2025.15.2.0625

Received on 27 March 2025; revised on 03 May 2025; accepted on 05 May 2025

This article examines the complexities and challenges of integrating financial data across multiple cloud platforms for Enterprise Performance Management (EPM) systems. In today's enterprise landscape, organizations typically maintain several ERP systems across various cloud environments, creating significant data integration challenges. The article investigates integration strategies across one-time data loads, periodic refreshes, and live data connections, while examining the strategic value of data lake houses in unifying disparate data sources for comprehensive financial analytics and reporting. By addressing these integration challenges systematically, organizations can achieve more accurate financial insights, streamlined reporting processes, and enhanced decision-making capabilities that directly impact operational efficiency and competitive advantage in increasingly complex multi-cloud environments.

Multi-Cloud Integration; Enterprise Performance Management; Data Lakehouse; Real-Time Analytics; Financial Data Governance

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-0625.pdf

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Vishal Gangarapu. Data integration challenges in multi-cloud EPM environments: A comprehensive analysis. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 512-518. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0625

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