In the data-driven approach, it is crucial to transform data into information. Thanks to data visualization, data are made understandable even to those who are not analytics experts. However, something more is needed: steps need to be set up to "tell" what the data are telling us, what information we derive in order to then propose corrective or improvement actions and make the right decisions in our business. To do this we need serious skills and skilled workers on this front not only in data collection and analysis, but also in copy and visual communication. The last step is artificial intelligence, which can help even more in empowering people to make choices through predictive analytics via machine learning.