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Data Strategy by Sid Adelman
Book DescriptionWithout 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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Book DetailsISBN: 9780321240996
(233mm x 178mm x 20mm)
Imprint: Addison-Wesley Educational Publishers Inc
Publisher: Pearson Education (US)
Publish Date: 15-Jun-2005
Country of Publication: United States
Books By Author Sid Adelman
Impossible Data Warehouse Situations, Paperback (October 2002)» View all books by Sid Adelman
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Author Biography - Sid Adelman
Sid Adelman is a Principal in Sid Adelman and Associates (Sherman Oaks, CA), leading specialists in data warehousing, data architecture, and data strategies. He currently consults with top organizations in banking, insurance, distribution, manufacturing, healthcare, the utility industry, and government. Adelman spent 24 years at IBM, rising to IBM's highest system engineering position. Larissa Moss, president of Method Focus Inc., specializes in improving the quality of business information systems. Moss lectures worldwide on data warehousing, data modeling, data audit and control, business intelligence, project management, enterprise architecture, and information asset management topics such as data integration and cross-organizational development. (c) Copyright Pearson Education. All rights reserved.
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