This paper explores the integration of data-driven decision making (DDM) in IT project management to achieve sustainability and excellence. The authors propose a novel approach that leverages data analytics to optimize resource allocation, mitigate risks, and streamline project workflows. By analyzing IT project performance metrics and historical data, the study identifies key dimensions of IT project management excellence, including schedule adherence, budget adherence, quality of deliverables, stakeholder satisfaction, risk management effectiveness, time to market, return on investment (ROI), and resource utilization. The research employs multiple linear regression to examine the relationship between DDM strategies and these dimensions. The findings reveal that predictive analytics for risk management significantly influences resource utilization and budget overage control, while performance analytics for continuous improvement directly affects resource utilization and ROI. The study also highlights the importance of aligning IT project management practices with business sustainability objectives to enhance project success rates and minimize environmental impacts. The research was conducted on a sample of 350 small- and medium-sized companies in Serbia, with results showing that DDM strategies can directly influence key dimensions of IT project management excellence. The study concludes that data-driven decision making is essential for achieving sustainable IT project management excellence, ensuring long-term competitiveness and value creation in a digitalized world. The authors emphasize the need for further research to expand the application of DDM strategies to other regions and industries.This paper explores the integration of data-driven decision making (DDM) in IT project management to achieve sustainability and excellence. The authors propose a novel approach that leverages data analytics to optimize resource allocation, mitigate risks, and streamline project workflows. By analyzing IT project performance metrics and historical data, the study identifies key dimensions of IT project management excellence, including schedule adherence, budget adherence, quality of deliverables, stakeholder satisfaction, risk management effectiveness, time to market, return on investment (ROI), and resource utilization. The research employs multiple linear regression to examine the relationship between DDM strategies and these dimensions. The findings reveal that predictive analytics for risk management significantly influences resource utilization and budget overage control, while performance analytics for continuous improvement directly affects resource utilization and ROI. The study also highlights the importance of aligning IT project management practices with business sustainability objectives to enhance project success rates and minimize environmental impacts. The research was conducted on a sample of 350 small- and medium-sized companies in Serbia, with results showing that DDM strategies can directly influence key dimensions of IT project management excellence. The study concludes that data-driven decision making is essential for achieving sustainable IT project management excellence, ensuring long-term competitiveness and value creation in a digitalized world. The authors emphasize the need for further research to expand the application of DDM strategies to other regions and industries.