The Data-Driven Queueing Challenges conference, DDQC III, will bring together researchers with backgrounds in operations management, statistics, stochastic modelling, data science and control to discuss contemporary queueing-related challenges. The increasing availability of empirical data in the operation of large computer networks and in the management of human service systems is creating new opportunities for study in queueing theory. The objective of the conference is to highlight and discuss future directions in data-driven queueing that arise in modelling, monitoring and controlling queues, and in dealing with parameter uncertainty, when there is access to operational data. After two online conferences, held in 2021 and 2022, this year will be the first in-person edition of the conference, held at Eurandom in Eindhoven Nov 11-13 2024. In addition to the main conference, on Nov 14 a satellite workshop will take place. The focus of the workshop is problems at the interface of statistics, decision & control and complex networks.