This paper presents a structural framework to enhance time management proficiency within dynamic work environments. 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 in diverse professional settings. Results indicate a 20% improvement in project completion times, a 25% reduction in project turnaround time, and a 30% increase in project visibility. These findings underscore the framework's effectiveness in enhancing time management and achieving long-term success. Implications include recommendations for continuous refinement and integration of emerging technologies. The study explores the role of IBM SPSS in supporting international business expansion strategies and evaluates its impact on company performance. It aims to provide valuable insights for managers and decision-makers in planning and implementing international business expansion strategies by leveraging data analysis technology. The research also contributes to the literature on international business management and the use of data analysis technology in business contexts. The research uses a combination of secondary and primary data. Secondary data is obtained from global economic databases, international market reports, and academic literature. Primary data is collected through surveys or interviews with companies undergoing international business expansion. The research design combines qualitative and quantitative approaches. Qualitative analysis focuses on gaining in-depth understanding of challenges, strategies, and outcomes of international business expansion. Quantitative analysis uses IBM SPSS to analyze both secondary and primary data. The study includes t-test results comparing average sales between two product groups: "Industrial" and "Exports." The results indicate no significant difference in average sales between the groups. ANOVA results also show no substantial disparity among the groups. Regression analysis results indicate that the model developed to predict monthly sales based on employee satisfaction level and total advertising expenditure has low explanatory power, with only about 2.4% of the variability in monthly sales explained by the independent variables. The analysis also shows that total advertising expenditure has a tendency to negatively influence monthly sales, although not statistically significant. The findings highlight the importance of considering other factors that may influence monthly sales besides employee satisfaction level and total advertising expenditure. Further research is needed to explore these factors and their impact on time management practices. The study underscores the complexity of factors involved in determining sales performance and the need for further comprehensive research to better understand the relationship between these variables and monthly sales.This paper presents a structural framework to enhance time management proficiency within dynamic work environments. 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 in diverse professional settings. Results indicate a 20% improvement in project completion times, a 25% reduction in project turnaround time, and a 30% increase in project visibility. These findings underscore the framework's effectiveness in enhancing time management and achieving long-term success. Implications include recommendations for continuous refinement and integration of emerging technologies. The study explores the role of IBM SPSS in supporting international business expansion strategies and evaluates its impact on company performance. It aims to provide valuable insights for managers and decision-makers in planning and implementing international business expansion strategies by leveraging data analysis technology. The research also contributes to the literature on international business management and the use of data analysis technology in business contexts. The research uses a combination of secondary and primary data. Secondary data is obtained from global economic databases, international market reports, and academic literature. Primary data is collected through surveys or interviews with companies undergoing international business expansion. The research design combines qualitative and quantitative approaches. Qualitative analysis focuses on gaining in-depth understanding of challenges, strategies, and outcomes of international business expansion. Quantitative analysis uses IBM SPSS to analyze both secondary and primary data. The study includes t-test results comparing average sales between two product groups: "Industrial" and "Exports." The results indicate no significant difference in average sales between the groups. ANOVA results also show no substantial disparity among the groups. Regression analysis results indicate that the model developed to predict monthly sales based on employee satisfaction level and total advertising expenditure has low explanatory power, with only about 2.4% of the variability in monthly sales explained by the independent variables. The analysis also shows that total advertising expenditure has a tendency to negatively influence monthly sales, although not statistically significant. The findings highlight the importance of considering other factors that may influence monthly sales besides employee satisfaction level and total advertising expenditure. Further research is needed to explore these factors and their impact on time management practices. The study underscores the complexity of factors involved in determining sales performance and the need for further comprehensive research to better understand the relationship between these variables and monthly sales.