Intelligence in manufacturing enables the optimization and configuration of processes, and a goal of future smart manufacturing is to enable processes to configure themselves – called self-configuration. This paper describes a framework for utilising data to make decisions for the self-configuration of a production system device in a smart production environment. A data pipeline is proposed that connects the production system via a gateway to a cloud computing platform for machine learning and data analytics. Agent technology is used to implement the framework for this data pipeline. This is illustrated by a data oriented self-configuration solution for an industrial use-case based on a device used at a testing station in a production system. This research presents possible direction towards realising self-configuration in production systems.