Professional data management is the foundation for the successful digital transformation of traditional companies. Unfortunately, many companies fail to implement data governance because they do not fully understand the complexity of the challenge (organizational structure, employee empowerment, change management, etc.) and therefore do not include all aspects in the planning and implementation of their data governance.

This book explains the driving role that a responsive data organization can play in a company's digital transformation. Using proven process models, the book takes readers from the basics, through planning and implementation, to regular operations and measuring the success of data governance. All the important decision points are highlighted, and the advantages and disadvantages are discussed in order to identify digitization potential, implement it in the company, and develop customized data governance.

The book will serve as a useful guide for interested newcomers as well as for experienced managers.

Chapter 1. Introduction

Part 1. Basics
Chapter 2. What is Data Governance?
Part 2. Planning
Chapter 3. Success Factors for the Implementation
Part 3. Implementation
Chapter 4. Development of a Responsive Operating Model
Part 4. Digital Transformation
Chapter 5. Fundamentals of the Digital Transformation
Chapter 6. Data Governance as Driver of Value Stream Optimization and as Pacemaker for the Digital Transformation
Part 5. Performance Measurement
Chapter 7. Measuring the Success of Data Governance
Chapter 8. List of Principles
Chapter 9. Bonus: Data Definition Template
Chapter 10. Closing Words.<br><br>