share_book
Envoyer cet article par e-mail

Master Data Management

ou partager sur :

share_comment
Partager ce commentaire par e-mail

ou partager sur :

PRÊT A ACHETER?
(vous pouvez toujours annuler plus tard)


J'aime
Master Data Management

Master Data Management

  (Auteur),   (Auteur),   (Auteur)


Prix : Cet article n'a pas encore de prix  ask_price

Demande de cotation sur ""
Ce titre est nouveau dans notre fonds d'ouvrages et nous ne l'avons encore jamais vendu à ce jour.
Notre engagement: Vous obtenir le meilleur prix
Aussi nombreux que soient les titres que nous référençons, absolument rien n'est automatisé dans la fixation de nos prix; et plutôt que de convertir automatiquement le prix en euros et risquer de répercuter sur vous un prix artificiellement élevé, nous vous faisons un devis rapide après avoir vérifié les prix auprès de nos différents fournisseurs.
Cette étape de demande de cotation est rapide (généralement quelques heures) et vise à vous faire bénéficier en permanence du meilleur prix pour vos achats de livres.


Sur commande

Des articles qui pourraient aussi vous intéresser

Description de "Master Data Management"

The volume of data in companies keeps on growing, and most often each business unit, such as marketing, sales, HR, accounting, production, etc., manages its own data. Then the question of how to optimize the interaction and synchronization of this data and how to guarantee its quality - in terms of consistency, regular updates, absence of duplicates, etc. - becomes essential. What is necessary is a vision and a process for how to avoid the problem of isolated data islands and how to integrate the data into a company-wide information pool?The aim of this book is to outline methods and solutions for better data management, and, more particularly, the management of master data, i.e., data structuring numerous processes and used in several applications. To this end, the authors explain the notion of  "Master Data Management" (MDM), based on the essential "point of truth" concept. Their presentation is organized into three parts: Part I outlines the basic concepts, requirements and issues relating to data management. Part II details best practices, the architectures and solutions for improving data management, focusing in particular on the MDM concept. Finally, Part III details control methods and organizations based on the key concept of data governance.This book targets IS responsibles who want to better manage their company's data as well as business managers or enterprise architects who want to analyze interdepartmental processes and applications. They will find much useful information on how to transform a strategic data-related vision into reality, whether it is a business-driven vision, e.g., focusing on customer-related processes, or an IT-driven vision, e.g., aiming at service-oriented architectures.

Détails sur le produit

  • Reliure : Hardcover
  • 310  pages
  • Editeur :   Springer Paru le
  • ISBN :  3642113990
  • EAN13 :  9783642113994
  • Classe Dewey :  658.4038
  • Langue : Anglais

D'autres livres de Franck Regnier-Pecastaing

MDM

Cet ouvrage s'adresse à tous les responsables, tant côté maîtrise d'ouvrage que maîtrise d'œuvre, et à tous les dirigeants, urbanistes, chefs de projet... qui cherchent à améliorer la valeur de l'information détenue et utilisée par l'entreprise. Comment optimiser l'interaction et la [....

Voir tous les livres de Franck Regnier-Pecastaing

Commentaires sur cet article

Personne n'a encore laissé de commentaire. Soyez le premier!

Laisser un commentaire

Rechercher des articles similaires par rayon

Rechercher par thèmes associés

The volume of data in companies keeps on growing, and most often each business unit, such as marketing, sales, HR, accounting, production, etc., manages its own data. Then the question of how to optimize the interaction and synchronization of this data and how to guarantee its quality - in terms of consistency, regular updates, absence of duplicates, etc. - becomes essential. What is necessary is a vision and a process for how to avoid the problem of isolated data islands and how to integrate the data into a company-wide information pool?The aim of this book is to outline methods and solutions for better data management, and, more particularly, the management of master data, i.e., data structuring numerous processes and used in several applications. To this end, the authors explain the notion of  "Master Data Management" (MDM), based on the essential "point of truth" concept. Their presentation is organized into three parts: Part I outlines the basic concepts, requirements and issues relating to data management. Part II details best practices, the architectures and solutions for improving data management, focusing in particular on the MDM concept. Finally, Part III details control methods and organizations based on the key concept of data governance.This book targets IS responsibles who want to better manage their company's data as well as business managers or enterprise architects who want to analyze interdepartmental processes and applications. They will find much useful information on how to transform a strategic data-related vision into reality, whether it is a business-driven vision, e.g., focusing on customer-related processes, or an IT-driven vision, e.g., aiming at service-oriented architectures.