"Data-driven Approaches in Human Resource Management Decisions" discusses the transformatory effect of the data analytics on the human resources management (HRM) practices. The instructive note in this study is that the human resource management can be advanced by employing data-driven methods which can be done in various HR functions such as recruitment, performance evaluation, employee retention, and workforce planning. Organization can get deeper insight of employee behavior, recognize potential talent and forecast future HR needs more precisely by utilizing big data, machine learning algorithms and predictive analysis. The paper reveals that an evolution from traditional decision-based employment practices based on experience to more modern, evidence-driven HR approaches with vast employee data is taking place. The paper includes case studies which display execution of data-driven HR strategies into practice and, as the result, we are able to observe positive trends in hiring, engagement and reduce turnover. Besides, due to the use of data analytics in HRM the managers can detect the gaps between the employee skills and the organizational needs which gives possibility to the managers to prepare customized development programs that correspond to the goals of the organization. As the research progress, it will cover the ethical and the challenges that might arise with data-based system in HR such as the privacy of employees data and the risk of the algorithmic bias. The research emphasizes on principles of open-data governance and also introduces the idea of ethical guidelines for the application of HR analytics tools. The paper points out that certain values should be developed and implemented in the HR departments i.e. the data-driven culture which must be promoted, people who are always ready and willing to learn and the ability to adapt to changing circumstances (technological advancements). Data driven methods of human resource management decision making is written to offer comprehensive overview of how data analytics is taking on HRM , and to provide practical advice and strategies to the HR professionals to use data powerfully for attaining organizational success and individual satisfaction. This study adds to the expanding literature on HR analytics and proves to be a useful input for those practitioners seeking to implemenet data-drive methodologies within their HR functions.