Authors:
- Discusses specific steps to align a data strategy with the organizations business strategy
- Explains how data management responsibilities are typically structured and executed, both formally and informally, within an organization
- Enumerates and explains leading data management frameworks, and how they overlap and differ
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Table of contents (17 chapters)
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Front Matter
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Data Strategy Considerations
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Front Matter
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Data Strategy
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Front Matter
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Data Management Domains
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Front Matter
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About this book
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 or improving existing data management.
Authors and Affiliations
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MITRE, McLean, USA
Mike Fleckenstein, Lorraine Fellows
Bibliographic Information
Book Title: Modern Data Strategy
Authors: Mike Fleckenstein, Lorraine Fellows
DOI: https://doi.org/10.1007/978-3-319-68993-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-68992-0Published: 22 February 2018
Softcover ISBN: 978-3-319-88698-5Published: 06 June 2019
eBook ISBN: 978-3-319-68993-7Published: 12 February 2018
Edition Number: 1
Number of Pages: XIX, 263
Number of Illustrations: 22 illustrations in colour
Topics: Information Systems and Communication Service, Business Information Systems, Systems and Data Security