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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
© Copyright Pearson Education. All rights reserved.
The definitive best-practices guide to enterprise data-management strategy.
You can no longer manage enterprise data "piecemeal." To maximize the business value of your data assets, you must define a coherent, enterprise-wide data strategy that reflects all the ways you capture, store, manage, and use information.
In this book, three renowned data management experts walk you through creating the optimal data strategy for your organization. Using their proven techniques, you can reduce hardware and maintenance costs, and rein in out-of-control data spending. You can build new systems with less risk, higher quality, and improve data access. Best of all, you can learn how to integrate new applications that support your key business objectives.
Drawing on real enterprise case studies and proven best practices, the author team covers everything from goal-setting through managing security and performance. You'll learn how to:
Identify the real risks and bottlenecks you face in delivering data―and the right solutions
Integrate enterprise data and improve its quality, so it can be used more widely and effectively
Systematically secure enterprise data and protect customer privacy
Model data more effectively and take full advantage of metadata
Choose the DBMS and data storage products that fit best into your overall plan
Smoothly accommodate new Business Intelligence (BI) and unstructured data applications
Improve the performance of your enterprise database applications
Revamp your organization to streamline day-to-day data management and reduce cost
Data Strategy is indispensable for everyone who needs to manage enterprise data more efficiently―from database architects to DBAs, technical staff to senior IT decision-makers.
© Copyright Pearson Education. All rights reserved.
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