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…mehr
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.
Jonas Rashedi is a speaker and consultant for various seminar providers and a regular contributor to summits, blogs and podcasts. He has been working in the field of data management for over 10 years, specializing in organization building and data analytics, and has developed techniques to help large and mid-sized companies manage data more efficiently and profitably. Through his work as a consultant, he has guided companies through various set-up and expansion phases, gaining expert knowledge in a wide range of tools and methodologies.
Inhaltsangabe
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
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