Buch, Englisch, 267 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 4853 g
Buch, Englisch, 267 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 4853 g
ISBN: 978-3-319-83307-1
Verlag: Springer Nature Switzerland
This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Betriebssysteme
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
- Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
Weitere Infos & Material
Introduction.- The Big Data Business Opportunity.- The Business Transformation by Big Data.- Data Integration and Management Science.- Novel Approaches for Big Data Analytics.- Case Studies: Engineering; Financial; Economic; Business; Project Management.- Signal Processing.