Optimizing HR Performance and Strategy through Business Intelligence Talent Systems: A Focus on Workforce Analytics and Project Decision-Making

Introduction: The main study objective is to study the effects of applying business intelligence talent systems human resource performance through taking the mediating role workforce analytics and project decision making in SAP firm in German. The research conducted in SAP firm in is an IT consulting firm specialized in giving solutions based on BI and IT, this research designed and distributed a survey on biotech managerial and technical staffs and collected 219 valid questionnaires for data analysis process through the usage of structural equation modeling program method SEM. Methods: The research chose specific indicators for the independent and dependent variables as follows, for business intelligence talent system this research chose AI-driven HR tools adoption, HR data integration capabilities, Predictive analytics utilization, for HR performance the following indicators were chosen employee productivity levels, talent retention rate, and training effectiveness, for workforce variable this research chose real-time workforce monitoring, turnover prediction accuracy, and employee engagement analytics. And for the decision-making variable the indicators which have been chose are the speed of Project decision making, data-driven decision implementation rate, and accuracy of workforce forecasting. Results: The research arrived to the result that applying business intelligence talent system in human resource department has a positive and effective impact on enhancing human resource department and this effect enhanced through illustrate the role of workforce and project decision making effectiveness. Conclusions: This study has relied on previous research in the same field, which focused on understanding the importance of improving advanced human resources practices and enhancing employee satisfaction and the importance of the results of these studies in continuing to work in a complex communications sector while maintaining employee satisfaction and high performance that always leads to providing high-quality and efficient products and services to customers.