Decision intelligence (DI) is an emerging field that combines data science, decision theory, and artificial intelligence to enhance decision-making processes within organizations, particularly in enterprise IT. Unlike traditional business intelligence, DI uses AI and analytics to provide insights, predictions, and recommendations through intuitive dashboards, aiming to optimize decisions at three levels: support, augmentation, and automation. The importance of DI is underscored by studies showing a strong correlation between decision effectiveness and financial performance, as well as the stress and inefficiencies caused by poor decision-making. As organizations face increasing data complexity and the need for real-time insights, DI platforms become essential, integrating data from various sources to reveal actionable insights while still relying on human creativity and ethical reasoning. By adopting robust data practices and governance, organizations can leverage DI to navigate uncertainty, optimize resource allocation, and seize opportunities while minimizing risks, making it a strategic asset for modern businesses.