Data Science and Digital Business

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: García Márquez, Fausto Pedro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lev, Benjamin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Operations research.; Decision making.; Big data.; Management information systems.; E-commerce.; Statistics .; Engineering economics.; Engineering economy.; Operations Research/Decision Theory.; Big Data/Analytics.; Business Information Systems.; e-Commerce/e-business.; Statistics for Business, Management, Economics, Finance, Insurance.; Engineering Economics, Organization, Logistics, Marketing.
• Φυσική περιγραφή: VIII, 316 p. 117 illus. online resource.
• ISBN: 9783319956510
• DOI: 10.1007/978-3-319-95651-0

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.