By now, nobody needs to be convinced that using data is a necessity, but many projects still don't make it into production. The question remains: "why?" Organisations are collecting data, ensuring data quality, and strengthening data governance. And Artificial intelligence, machine learning and deep learning are the tools they need to extract the insights from all that data, in order to improve operations, increase sales, create an irresistible service… So how do we move from concept through minimum viability to production?