This paper presents a structural framework designed to enhance time management proficiency in dynamic work environments, particularly in the context of international business expansion. The framework integrates prioritization techniques, task scheduling methods, delegation strategies, and technology utilization to optimize time allocation and productivity. The methodology involves the application of the Eisenhower Matrix, Pareto Principle, and time-blocking techniques, supported by case studies from various professional settings. The results indicate significant improvements in project completion times, reduced project turnaround time, and increased project visibility, highlighting the framework's effectiveness in enhancing time management and achieving long-term success. The research also explores the role of IBM SPSS in supporting international business expansion strategies and evaluates its impact on company performance. The findings suggest that while the regression model developed to predict monthly sales based on employee satisfaction level and total advertising expenditure shows limited explanatory power, further research is needed to explore additional factors that may influence sales performance. The study contributes to the literature on international business management and the use of data analysis technology in business contexts.This paper presents a structural framework designed to enhance time management proficiency in dynamic work environments, particularly in the context of international business expansion. The framework integrates prioritization techniques, task scheduling methods, delegation strategies, and technology utilization to optimize time allocation and productivity. The methodology involves the application of the Eisenhower Matrix, Pareto Principle, and time-blocking techniques, supported by case studies from various professional settings. The results indicate significant improvements in project completion times, reduced project turnaround time, and increased project visibility, highlighting the framework's effectiveness in enhancing time management and achieving long-term success. The research also explores the role of IBM SPSS in supporting international business expansion strategies and evaluates its impact on company performance. The findings suggest that while the regression model developed to predict monthly sales based on employee satisfaction level and total advertising expenditure shows limited explanatory power, further research is needed to explore additional factors that may influence sales performance. The study contributes to the literature on international business management and the use of data analysis technology in business contexts.