Data science aims to derive actionable insights from large amounts of data, such as methods for and theories about data integration, data cleaning, data mining, process mining, business analytics and data architectures. Entrepreneurship encompasses the successful development of new business models and entrepreneurial ventures by exploiting new algorithms, models, theories, tools, and project solutions; this is achieved by promoting data entrepreneurship, defining business models, fueling creativity and fostering open innovation.