Gangarapu, Vishal (2025) Data integration challenges in multi-cloud EPM environments: A comprehensive analysis. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 512-518. ISSN 2582-8266
![WJAETS-2025-0625.pdf [thumbnail of WJAETS-2025-0625.pdf]](https://eprint.scholarsrepository.com/style/images/fileicons/text.png)
WJAETS-2025-0625.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.
Abstract
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.
Item Type: | Article |
---|---|
Official URL: | https://doi.org/10.30574/wjaets.2025.15.2.0625 |
Uncontrolled Keywords: | Multi-Cloud Integration; Enterprise Performance Management; Data Lakehouse; Real-Time Analytics; Financial Data Governance |
Depositing User: | Editor Engineering Section |
Date Deposited: | 04 Aug 2025 16:26 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3494 |