Many data space use cases allow analysis of multi-source, multi-stakeholder data based on methods like statistical analysis, machine learning, deep learning, and other data-mining techniques (e.g. for demand forecasting in an industrial use case, which must synthesise and analyse multiple data flows coming from different platforms the data space is comprised of). A function like that requires analysis of multiple data flows, which is why it needs to be supported by a ‘Data Analytics Engine’ building block. Depending on the nature of the data, this building block can take different forms (such as streaming analytics, cloud-based analytics, machine learning, or complex event processing [CEP]).