Дослідження методів інтелектуального аналізу кадрових ресурсів для підтримки прийняття рішень в іт-менеджменті

Abstract

The work examines the problem of managing large IT teams and reviews existing approaches to workforce data analysis. The growing demand for IT project managers and the complexity of their roles highlight the need for automated decision-support tools. A conceptual architecture based on structured personnel and project data is proposed, with Python/Pandas for data processing and Streamlit for interactive visualization. The approach aims to form a foundation for a full-scale decision support system in IT management.