The term Data Science and the resulting field was created in the 21st century. It is statistics revived with the newest methods of machine science and data management, a “hacker” perspective on on research methods, and an engineering approach enriched by practical business experience. It was developed so that from passive data, we can draw crucial information and firm conclusions, test hypotheses, and create useful precesses. The possibilities of this field are enormous and the products of its study are being employed ever more frequently — some of them are already realities, and others will very likely soon become extremely important technologically and an inescapable addition to the technological alphabet. In this presentation, we’ll observe some inspirational examples of the application of data science in business environments.