data driven organization using data von jonas rashedi (3 Ergebnisse)

Hardcover. Zustand: Brand New. 119 pages. 8.75x6.25x0.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 organizationand is valuable for managers who are involved in data management in companies and organizations.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 organizationand is valuable for managers who are involved in data management in companies and organizations.