Data Strategy

Sid Adelman, Larissa T. Moss, Majid Abai

384 pages, parution le 16/12/2005

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Résumé

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.

L'auteur - Sid Adelman

Sid Adelman is founder of Sid Adelman & Associates, an organization specializing in planning and implementing data warehouses. He
consults exclusively on data warehouse topics including assessments, determining requirements, project planning, establishing roles and
responsibilities, metadata strategy, and organizational and cultural issues. Sid presents regularly at data warehouse conferences and
conducts a Data Warehouse Project Management seminar. Sid is a founding member of the Business Intelligence Alliance. He jointly
developed a methodology, MapXpert for Data Warehouse TM, which provides a master plan for implementing data warehouses.

L'auteur - Larissa T. Moss

Larissa Moss is founder and president of Method Focus Inc., a consulting firm specializing in improving business information quality. She frequently lectures and speaks at conferences on various data management topics, such as data warehousing, data quality, data modeling,and data audit and control. Her articles on data warehousing, project management, data management, and data quality are regularly
published in magazines such as DM Review. She also provides consulting services in data warehouse assessments, data warehouse methodologies, project management, data administration, data modeling, data quality assessment, data transformation and cleansing, and metadata capture and utilization.

Sommaire

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

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Addison Wesley
Auteur(s)	Sid Adelman, Larissa T. Moss, Majid Abai
Parution	16/12/2005
Nb. de pages	384
Format	17,5 x 23,5
Couverture	Broché
Poids	550g
Intérieur	Noir et Blanc
EAN13	9780321240996
ISBN13	978-0-321-24099-6