Liebe Besucherinnen und Besucher,
aufgrund unseres Sommerfestes sind wir am 03. September 2026 bis 14 Uhr erreichbar. Am 04. September 2026 sind wir wieder wie gewohnt für Sie da. Vielen Dank für Ihr Verständnis.
Ihr Team von Sack Fachmedien
Buch, Englisch, 119 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 187 g
Reihe: Business Guides on the Go
Using Data for the Success of Your Company
Buch, Englisch, 119 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 187 g
Reihe: Business Guides on the Go
ISBN: 978-3-031-20606-1
Verlag: Springer
Data has become an indispensable success factor for every company. However, the road towards a data-driven organization is paved with numerous challenges. This book presents a process model for the path to a data-driven company and provides recommendations for the design of all relevant fields of action: Which structures need to be created? Which systems and processes have proven beneficial? How can the quality of the data be ensured and what requirements exist for a data-driven organization in the areas of governance and communication? And last but not least: How can employees be brought along on the journey and what implications does the data-driven organization have for our corporate culture? The book presents an orientation and action framework for the strategic and operational design of a data-driven organization and is valuable for managers who are involved in data management in companies and organizations.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Management Prozessmanagement
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
- Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
Weitere Infos & Material
Foreword
1 Background and drivers of the data-driven organization
2 Characteristics of the data-driven organization
3 Challenges and barriers of the data-driven organization
4 Process Mode for Data Management
5 Process model for implementing the data-driven organization
6 Closing words




