In order to make data innovation tangible, several demonstrators will be developed in selected domains. These will focus on key data innovation challenges (e.g., entity profiling, predictive analytics), and illustrated by scenarios and use cases in relevant application domains. For each demonstrator a generic reference architecture will be designed, with references to relevant technological platforms, toolkits, and libraries. Furthermore, guidelines, best practices and lessons learnt regarding data characteristics, algorithms, validation, etc. will be distilled. These generic demonstrator concepts can subsequently be tailored towards a company context and validated on company-specific data and technologies, creating specific data processing workflows.