Downloads: 1
Research Paper | Information Technology | Volume 15 Issue 6, June 2026 | Pages: 1214 - 1219 | United States
Improving Data Integrity, Change Control, and Implementation Efficiency in Enterprise HCM
Abstract: This paper examines how modern HR technology, ERP automation, and configuration discipline shape implementation quality in enterprise Human Capital Management. The relevance of the topic follows from the scale of Oracle HCM Cloud programs, where hundreds of interdependent settings move across development, test, and production, and where small inconsistencies turn into production failures. The objective is to define a configuration governance model that connects data integrity, change control, reconciliation, and audit traceability into a single discipline grounded in a working tool. The novelty lies in the use of Setup Extractor, an automation tool originally developed by the author at Deloitte and now owned by Deloitte, as the structured case that operationalizes the model. The approach combines case-study analysis, comparative setup review, and before-and-after assessment. Field experience indicates fewer migration errors, shorter deployment cycles, full traceability of configuration changes, and substantial savings in implementation effort. The findings will be useful for HR technology leaders, HRIT specialists, ERP implementation teams, and digital transformation consultants managing large-scale HCM deployments.
Keywords: configuration governance, data integrity, change control, HCM Cloud, HR Automation
How to Cite?: Sambit Panigrahi, "Improving Data Integrity, Change Control, and Implementation Efficiency in Enterprise HCM", Volume 15 Issue 6, June 2026, International Journal of Science and Research (IJSR), Pages: 1214-1219, https://www.ijsr.net/getabstract.php?paperid=SR26619214001, DOI: https://dx.doi.org/10.21275/SR26619214001