Data is multidisciplinary and requires knowledge from various areas, including technology, maths, statistics, ethics, and law, to be used effectively. The author shares lessons learned from 20 years of working with data, including the importance of clarifying definitions, removing bias, and considering the agenda behind data use, to create successful data-driven projects.