HUMAN RESOURCE MANAGEMENT SYSTEM: PERFORMANCE MANAGEMENT SYSTEM AND EMPLOYEE PERFORMANCE ANALYTICS

Abstract

Human Resource Management (HRM) plays a strategic role in managing an organization’s most valuable asset—its people. It involves critical functions such as recruitment, development, retention, and leadership, all aimed at achieving long-term organizational goals. This research specifically focuses on Performance Management and Employee Performance Analytics, identifying key issues that impact employee performance.  Based on the data, the most prominent challenge affecting employee performance is insufficient training. A lack of proper training prevents employees from performing their tasks effectively, resulting in decreased productivity, job satisfaction, and overall performance.  Another major issue is poor communication within the organization. When communication is unclear or inadequate, employees may struggle to understand their roles and expectations. Furthermore, unresolved issues pile up, leading to further performance issues.  Finally, a lack of recognition also plays a crucial role in impacting employee motivation and performance. Employees naturally seek acknowledgment for their hard work. When their efforts go unrecognized, it can lead to a decline in morale and motivation.  This research aims to explore how improving training programs, enhancing communication, and implementing recognition systems can address these performance challenges, fostering a more engaged and productive workforce, and contributing to organizational success. The development of the system followed the Agile Methodology, specifically Scrum. We began by analyzing the data collected to understand how employee information is processed within the organization, starting from the point an employee assumes their responsibilities. We also assessed employee performance based on attendance and the completion of workloads.  After analyzing this data, we created and prioritized Product Backlog Items, which were then integrated into our Sprint plan. Throughout the development process, we conducted Daily Standup meetings to track progress and foster collaboration. Additionally, we held Sprint Retrospectives at the end of each Sprint to evaluate our progress and identify areas for improvement moving forward. The data we collected gave us a clear advantage in constructing our system by providing essential insights into the design of the system architecture and processes needed for successful online deployment. It also helped us identify potential features to incorporate, ensuring that our system would meet user needs effectively and be scalable. This valuable information guided our development process, ensuring that the system was built with the right functionality and aligned with our project goals. The integration of performance analytics empowers organizations to identify trends and patterns in performance, both individually and at the team level. This data-driven approach allows for proactive interventions to address performance gaps while leveraging strengths. By promoting a culture of continuous improvement, the system enables organizations to adapt to evolving business environments, ensuring long-term resilience and sustained success.