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

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17224870
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zenodo (CERN European Organization for Nuclear Research)
Advanced Optical Imaging Technologies
article

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

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Sacred Heart University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Advanced Optical Imaging Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.