Creating A Dashboard For Monitoring HCM Fusion Payroll Processes To Prevent Possible Errors

Abstract

This study provides the description of a payroll monitoring dashboard developed in the Oracle HCM Fusion Payroll with real-time tracking, error detection, and compliance monitoring. The dashboard helps to reveal payroll discrepancies, including data entry errors and anomalies on overtime through proactive identification using descriptive analytics and machine learning models. The main indicators, including the percentage of payroll completion, number of errors, and accuracy of the payment, are represented as the charts and KPIs, thus, providing the opportunity to address the problem quickly. The dashboard improves payroll precision, alleviates human intrusion, and regulatory integrity, offering an effective remedy in a modern payroll organization management of any size. The next generation would focus on high-level predictive analytics and automation.