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Data Office and Chief Data Officers
Books On Demand - EAN : 9782322520701
Édition papier
EAN : 9782322520701
Paru le : 6 févr. 2024
45,00 €
42,65 €
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- EAN13 : 9782322520701
- Réf. éditeur : 333239
- Editeur : Books On Demand
- Date Parution : 6 févr. 2024
- Disponibilite : Disponible
- Barème de remise : NS
- Nombre de pages : 96
- Format : H:220 mm L:170 mm E:6 mm
- Poids : 182gr
- Résumé : The Chief Data Officer (CDO) role emerged in 2001 and has since become increasingly important in organizations of all kinds. This role continues to raise questions about its relevance, responsibilities, positioning, and authority. Despite recent publications, debates remain lively. "Data Office and Chief Data Officers" addresses key questions such as: Is there a need for one or multiple Chief Data Officers? What is the framework for this role? How should it be defined, implemented, and evolved? What are the expected benefits of this role? The book offers a rigorous and didactic analysis, starting with an exposition of the motivations and benefits behind creating a Data Office. Then it shows that this aspect of enterprise architecture is rarely synonymous with a distinct physical organizational entity. In reality, it encompasses a wide variety of organizational structures that create and maintain shared enterprise data management capabilities. Finally, the book effectively illustrates a variety of organizational models, details scenarios for implementing the CDO role, and explains the diverse functions fulfilled by CDOs.
- Biographie : Charles is an expert in data management, with over 20 years' experience in supporting leaders in the finance, energy and life sciences sectors, both in implementing solutions and in designing and monitoring data management strategies and programs. Aware of the changes affecting corporate organization and information systems, he strives to provide a framework for understanding them and facilitating their roll-out. Charles holds a post-graduate diploma in Market Finance, as well as certifications in data management.
