This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business.
Helps readers understand the premises of digital science
Covers interdisciplinary aspects of data science
Presents case studies with real-world examples from the digital business
Fausto Pedro García Márquez
Business Analytics Big Data Data Application Data Management Business Analytics Digital Industries Industry 4.0 Internet of Things Engineering Economics
“If you have an interest in analytics and visualization, and would like to review several applications of classification models, you may find it an interesting read.” (Robert M. Lynch, Computing Reviews, September 09, 2019)