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Data strategy
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Data strategy

Author: Sid Adelman; Larissa Terpeluk Moss; Majid Abai
Publisher: Indianapolis, IN : Addison Wesley, 2005.
Edition/Format:   Book : EnglishView all editions and formats
Summary:
Without a data strategy, the people within an organization have no guidelines for making decisions that are absolutely crucial to the success of the IT organization and to the entire organization. The absence of a strategy gives a blank check to those who want to pursue their own agendas, including those who want to try new database management systems, new technologies (often unproven), and new tools. This type of  Read more...
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Additional Physical Format: Online version:
Adelman, Sid.
Data strategy.
Indianapolis, IN : Addison Wesley, 2005
(OCoLC)607680697
Online version:
Adelman, Sid.
Data strategy.
Indianapolis, IN : Addison Wesley, 2005
(OCoLC)609961197
Document Type: Book
All Authors / Contributors: Sid Adelman; Larissa Terpeluk Moss; Majid Abai
ISBN: 0321240995 9780321240996
OCLC Number: 60841580
Description: xxiv, 342 p. : ill. ; 24 cm.
Contents: Introduction --
Data integration --
Data quality --
Metadata --
Data modeling --
Organizational roles and responsibilities --
Performance --
Security and privacy of data --
DBMS selection --
Business intelligence --
Strategies for managing unstructured data --
Business value of data and ROI --
Appendix A: ROI calculation process, cost template, and intangible benefits template --
Appendix B: Resources.
Responsibility: Sid Adelman, Larissa Moss, Majid Abai.

Abstract:

Without a data strategy, the people within an organization have no guidelines for making decisions that are absolutely crucial to the success of the IT organization and to the entire organization. The absence of a strategy gives a blank check to those who want to pursue their own agendas, including those who want to try new database management systems, new technologies (often unproven), and new tools. This type of environment provides no hope for success. Data Strategy should result in the development of systems with less risk, higher quality systems, and reusability of assets. This is key to keeping cost and maintenance down, thus running lean and mean. Data Strategy provides a CIO with a rationale to counter arguments for immature technology and data strategies that are inconsistent with existing strategies. This book uses case studies and best practices to give the reader the tools they need to create the best strategy for the organization.

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