The Korea Customs Service is one of the world’s largest customs organizations. In 2020, they were the fourth largest country by container port traffic. Every day they accumulate 45GB of structured data and 30 GB of unstructured data 5 . Storing, managing, and analyzing data at these volumes is a challenging task. Customs organizations would benefit significantly from analytical solutions that translate information and insights into actionable decisions, at the right time and that can do so at scale. This is where decision intelligence comes into play. Decision Intelligence for Customs Understanding Decision Intelligence Decision intelligence is the application of analytics, machine learning, and AI to support and enhance human decision making, and potentially automate the decision-making process. The concept of data-driven decision making isn't new. Decision intelligence steps in where today's tools and technologies have left off. It is designed for an era of information overload in a fast-changing environment. Decision intelligence democratizes access to data and analytical insights for both technical and business users, throughout an organization. This empowers customs personnel to ask questions, challenge ideas and rely on data- driven insights, rather than historical performance or instinct, to make decisions. It bridges the ‘decision gap’ by providing actionable insights for faster, more accurate, and more effective decision making. Decision intelligence is ideal for situations that involve decisions that can be informed by large volumes of data and involve fast changing conditions. For example, decisions that can be automated based on predefined rules but require analyzing millions of data points or documents are ideal for this type of process. In parallel, for decisions that require context, nuance, and the understanding of ambiguity – tasks that are far better suited to the human mind - decision intelligence platforms can provide data and insights that augment the human analyst or investigator’s decision-making process. 8 Decision Intelligence 4 Data Challenges 3