Blockchain-backed analytics (BBA) is a scientific concept to transparently document the lineage and linkage of the three major components of a data-driven project: data, model and result. BBA enables stakeholders of data-driven projects to track and trace data, models and modeling results without the need of trust validation of escrow systems or any other third party. This talk covers the theoretical concept of BBA, showcases a BBA prototype. Participants will be provided with re-usable code and learn how to design blockchain-backed analytics solutions, e.g. for situations in which partners share and distribute data and AI models in an untrusted setting.