Data-Driven Decision-Making and Corporate Performance

Abstract

Data-driven decision-making has become a critical capability for organizations seeking to improve corporate performance in increasingly complex and competitive markets. The integration of big data analytics, business intelligence systems, and artificial intelligence enables organizations to transform large volumes of information into meaningful insights for strategic planning and operational improvement. This research explores the relationship between data-driven decision-making practices and corporate performance by examining how analytical capabilities influence productivity, innovation, resource allocation, and organizational effectiveness. The study highlights the importance of data quality, analytical skills, digital infrastructure, and organizational culture in achieving successful data-based strategies. Findings suggest that organizations adopting evidence-based decision processes can enhance decision accuracy, improve customer understanding, optimize business operations, and achieve sustainable competitive advantages. Effective implementation requires not only advanced technologies but also managerial commitment and employee readiness to utilize analytical insights: