  With the new opportunities emerging from the current wave of digitalization,
terminal planning and management need to be revisited by taking a data-driven
perspective. Business analytics, as a practice of extracting insights from
operational data, assists in reducing uncertainties using predictions and helps
to identify and understand causes of inefficiencies, disruptions, and anomalies
in intra- and inter-organizational terminal operations. Despite the growing
complexity of data within and around container terminals, a lack of data-driven
approaches in the context of container terminals can be identified. In this
chapter, the concept of business analytics for supporting terminal planning and
management is introduced. The chapter specifically focuses on data mining
approaches and provides a comprehensive overview on applications in container
terminals and related research. As such, we aim to establish a data-driven
perspective on terminal planning and management, complementing the traditional
optimization perspective.
