Udvidet returret til d. 31. januar 2025

Data Governance for Managers

Bag om Data Governance for Managers

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783662651704
  • Indbinding:
  • Hardback
  • Sideantal:
  • 176
  • Udgivet:
  • 14. maj 2022
  • Udgave:
  • 22001
  • Størrelse:
  • 160x16x241 mm.
  • Vægt:
  • 436 g.
  • BLACK WEEK
  Gratis fragt
Leveringstid: 8-11 hverdage
Forventet levering: 9. december 2024

Beskrivelse af Data Governance for Managers

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.

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