This book offers an introduction to the topic of data science based on the visual processing of
data. It deals with ethical considerations in the digital transformation and presents a process
framework for the evaluation of technologies. It also explains special features and findings on
the failure of data science projects and presents recommendation systems in consideration of
current developments. Machine learning functionality in business analytics tools is compared
and the use of a process model for data science is shown.The integration of renewable energies
using the example of photovoltaic systems more efficient use of thermal energy scientific
literature evaluation customer satisfaction in the automotive industry and a framework for the
analysis of vehicle data serve as application examples for the concrete use of data science.
The book offers important information that is just as relevant for practitioners as for
students and teachers.
