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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Optimizing enterprise data flows: An event-driven architecture for workday integration

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  • Optimizing enterprise data flows: An event-driven architecture for workday integration

Srikanth Gadde *

Sacred Heart University, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 1668-1677

Article DOI: 10.30574/wjarr.2025.26.1.1116

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1116

Received on 26 February 2025; revised on 07 April 2025; accepted on 09 April 2025

This article presents a novel approach to enterprise data synchronization between Workday and downstream applications through an event-driven architecture. The proposed framework addresses the challenges of redundant integration development and escalating technology costs faced by organizations implementing Workday. By developing a connector that captures field and event-level changes through scheduled extraction and an intermediary event framework for distribution, the solution minimizes duplicate integration efforts while maintaining data integrity across temporal boundaries. The architecture incorporates robust access control mechanisms, standardized data structures, and flexible subscription models to accommodate varied downstream requirements. Performance optimization strategies and error handling protocols ensure system reliability, while the implementation methodology supports the seamless addition of new field requirements and event types. Case studies demonstrate significant reductions in integration development efforts and enhanced developer productivity across diverse enterprise environments, contributing valuable insights to the field of enterprise system integration.

Event-Driven Architecture; Workday Integration; Enterprise Data Synchronization; Data Classification Governance; Scalable Integration Framework

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1116.pdf

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Srikanth Gadde. Optimizing enterprise data flows: An event-driven architecture for workday integration. World Journal of Advanced Research and Reviews, 2025, 26(1), 1668-1677. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1116

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