Springer. New. Special order direct from the distributor Springer ISBN 3319689924 9783319689920 [CA]

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer] Hardcover
[Miami, FL, U.S.A.] [Publication Year: 2018]

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer] Hardcover New
[liverpool, United Kingdom] [Publication Year: 2018]

Springer 2018 2018 ed. Hard cover New 2018. 1st ed. 2018. Hardcover.......We ship daily from our Bookshop.

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer International Publishing] Hardcover Druck auf Anfrage Neuware - Printed after ordering - This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains-data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization's data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting ...
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ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer] Hardcover
[Dallas, TX, U.S.A.] [Publication Year: 2018]

Hardback. New. This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. ISBN 3319689924 9783319689920 [GB]

Springer International Publishing AG 1/22/2018 12: 02: 00 AM 1st ed. 2018 Hardcover New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.

Cham Springer 2018 2018 ed. Hard cover New. Sewn binding. Cloth over boards. 263 p. Contains: Unspecified, Illustrations, color.

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer International Publishing AG] Hardcover New Book. Shipped from UK. Established seller since 2000.
[Wood Dale, IL, U.S.A.] [Publication Year: 2018]

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer International Publishing] Hardcover Druck auf Anfrage Neuware - Printed after ordering - This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains-data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization's data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting ...
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Cham Springer 2018 2018 ed. Hard cover New. Sewn binding. Cloth over boards. 263 p. Contains: Unspecified, Illustrations, color.

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer] Hardcover In
[Uxbridge, United Kingdom] [Publication Year: 2018]

Hardback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. ISBN 3319689924 9783319689920 [GB]

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer] Hardcover
[Columbia, MD, U.S.A.] [Publication Year: 2018]
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ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer] Hardcover
[Hounslow, United Kingdom] [Publication Year: 2018]

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer] Hardcover Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 1.28
[Tucson, AZ, U.S.A.] [Publication Year: 2018]

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer] Hardcover Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers. 1.28
[Tucson, AZ, U.S.A.] [Publication Year: 2018]

Springer . Other. Used. Springer ISBN 3319689924 9783319689920 [US]

ISBN10: 3319689924, ISBN13: 9783319689920, [publisher: Springer] Hardcover Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
[Montgomery, IL, U.S.A.] [Publication Year: 2018]