Adaptive Machine Learning Framework for Cross-Platform HR Data Integration in Enterprise Systems

Abstract

This study proposes adaptive machine learning framework for seamlessly integrating HR data across multiple enterprise platforms (Workday, SAP SuccessFactors, Oracle HCM Cloud etc.) and deep learning models to automate data mapping, validation and anomaly detection to address the critical challenges of maintaining data consistency and accuracy in hybrid HRIS environments. Results show that the proposed framework improves the data quality and the processing efficiency for data collection. We illustrate a 45% reduction in data reconciliation efforts and 60% increase in error detection accuracy through a case study with a Fortune 500 company. This provides actionable findings for organizations who are managing complex HR technology ecosystems in managing cross platform HR data integration and shows how machine learning can be used to transform cross platform HR data integration.

Keywords: HRIS Integration, Adaptive Machine Learning, Data Mapping, Cross-Platform Integration, Workday, SAP SuccessFactors, Oracle HCM Cloud, Deep Learning, Real-Time Data Processing, Enterprise Systems, Anomaly Detection, Rule-Based Automation, Data Reconciliation, Data Consistency, Hybrid HR Ecosystems.