Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
Data governance for managers : the driver of value stream optimization and a pacemaker for digital transformation / Lars Michael Bollweg.
Uniform Title
Data Governance für Manager. English
ISBN
9783662651711 (electronic bk.)
3662651718 (electronic bk.)
9783662651704 (print)
Published
Berlin, Germany : Springer, 2022.
Language
English
Description
1 online resource (xi, 163 pages) : illustrations.
Item Number
10.1007/978-3-662-65171-1 doi
Call Number
HF5548.37
Dewey Decimal Classification
658.4/78
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 20, 2022).
Series
Management for professionals, 2192-810X
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.
