Intelligent What-If Analysis for Configuration Changes in HR Cloud and Integrated Modules
The particular research evaluates the requirement for an automated "What-if" evaluation framework for assessing the downstream effect of the configuration transformation within "Oracle Cloud Human Resources (HR)" components. Effective "post–Go-Live modifications" can disrupt the interconnected frameworks involving finance, payroll, alongside benefits. The specific research focuses on "real-time analytics", and "predictive modeling", alongside "intelligent simulation" for offering effective risk management. Findings feature the significance of dataassociated decision-making, enhanced system reliability, alongside improved governance, providing an adequate approach to maintaining configuration transformations within dynamic cloud-associated "HR environments".
Authors
- Mahesh Ganji
Institutions
- PricewaterhouseCoopers (Canada) (CA)
Publication Details
- Journal
- International Journal of All Research Education & Scientific Methods
- Published
- 2025-01-01
- DOI
- https://doi.org/10.56025/ijaresm.2025.1304254828
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00