Data Strategy
Adelman, Sid, Larissa Moss und Majid Abai:
Sold by Studibuch, Stuttgart, Germany
AbeBooks Seller since 24 April 2018
Used - Soft cover
Condition: Used - Very good
Ships from Germany to U.S.A.
Quantity: 1 available
Add to basketSold by Studibuch, Stuttgart, Germany
AbeBooks Seller since 24 April 2018
Condition: Used - Very good
Quantity: 1 available
Add to basket370 Seiten; 9780321240996.3 Gewicht in Gramm: 1.
Seller Inventory # 889812
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.
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.
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