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Data Strategy Paperback – 15 Jun 2005


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Product details

  • Paperback: 384 pages
  • Publisher: Addison Wesley; 1 edition (15 Jun 2005)
  • Language: English
  • ISBN-10: 0321240995
  • ISBN-13: 978-0321240996
  • Product Dimensions: 17.5 x 2 x 23.1 cm
  • Average Customer Review: 2.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 930,094 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Product Description

From the Back Cover

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.

About the Author

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.


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5 of 5 people found the following review helpful By Mark Liversedge on 28 Sep 2007
Format: Paperback
Reads like outputs from a bunch of hurried brainstorm sessions. The data quality and data integration pieces are incomplete and demostrate a lack of practising experience - data integration is limited to consolidation and federation aparently. Quality misses most of the stuff Wang was doing 10 years ago and muddles modelling concepts in for good measure.

If you are looking for assistance in developing an enterprise data management strategy then at best this book may provoke some thinking but it lacks rigour and richness to provide a coherent answer. Disappointed - there is better stuff free on dmreview.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 8 reviews
9 of 9 people found the following review helpful
An important subject in today's business world... 24 July 2005
By Thomas Duff - Published on Amazon.com
Format: Paperback
With the recent spate of data privacy lapses, the subject of data within the organization is getting more visibility. One book that addresses the overall role of data is Data Strategy by Sid Adelman, Larissa Moss, and Majid Abai.

Content: 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; ROI Calculation Process, Cost Template, and Intangible Benefits Template; Resources; Index

The authors strike a nice balance between presenting solid information and keeping it readable. It's easy to get so wrapped in the subject of "data" that you lose the ability to make the concepts practical and realistic for today's organization. This book doesn't seem to fall prey to that tendency. They also cover the whole gamut of how data needs to be handled in an organization. A reader just starting out in IT would learn why integration is important, why data quality/consistency is paramount, and how to design a data model that can be used by multiple applications. A person who holds the title of "data analyst" or equivalent will probably know most of this information, but it might be a good refresher in some areas (like on how to manage unstructured data).

The only issue I have with books like this is that they ignore the element of time and demand for application development. In every company I've worked at, there's always less time than required to do a "correct" job on the application design. There's also far more demand for applications than there are resources. If you're not careful, the demands of the data analysis group can paralyze an organization while they try to get everything "perfect". Meanwhile, nothing gets built. That's not to say that you can ignore all the information in this book. It's just that sometimes there are trade-offs you need to make in order to get things done in the real world.

Even with that caveat, this is still a book I'd recommend to someone asking why they have to be concerned with the enterprise view of their data...
8 of 9 people found the following review helpful
useful, a bit 'light' on the content 9 Aug 2005
By A. F. Breur - Published on Amazon.com
Format: Paperback
Data Strategy doesn't really deliver what it promises. The book starts out hopeful, but then you keep wondering when the 'data-strategy part' is going to materialze. It doesn't.

What DOES the book offer? In various disciplines surrounding database management, data warehousing, data quality, etc. the authors have loads of experience and truly valuable advice. The book comes packed with all sorts of checklists which some may find useful (I didn't care for them so much). These people have clearly been around, and share quite some of their experience with the reader.
7 of 9 people found the following review helpful
Excellent book, a must read 8 Aug 2005
By DAVID C. az - Published on Amazon.com
Format: Paperback
Sid Adelman, Larissa Moss, and Majid Abai have written an excellent book, one of the first that addresses the subject of data strategy in an organization.

The authors discuss various subjects within data that should be addressed by each and every organization. I was specially intrigued by the chapter on unstructured data as they are one of the first set of authors who have addressed unstructured data as part of the overall data within the organization. In addition, the chapters on business intelligence, data quality, and metadata address issues long needed in various size organizations.

A number of suggestions in the book apply mostly to medium-size and larger organizations, but the smaller companies could also take advantage of a lot of information contained in the book as they could sidestep some issues that exist within larger organizations.

I think authors have done an outstanding job in this book and I will certainly recommend it as a must read for all data professionals as well as CIOs, CTOs, and Enterprise Architects who are planning to create an information-centric organization.
4 of 6 people found the following review helpful
Great data strategy book presented from a practical perspective 13 Sep 2005
By Larry R. Mintun - Published on Amazon.com
Format: Paperback
I found this book extremely useful as a reminder of all the important areas to be considered in applying a data strategy to my organization. Especially useful was the chapter on logical and physical data modeling along with the many checklists presented.

I recommend this book to anyone concerned about data strategy and the need to manage that most important of corporate assets.
4 of 6 people found the following review helpful
Efficient, to-the-point discussion of data strategy 26 Aug 2005
By F. Neals - Published on Amazon.com
Format: Paperback
I thoroughly enjoyed this book, both for its delineation of a myriad of different data strategies, and as a valuable resource to walk one through the deployment of these strategies.

I am definitely recommending this book to my peers!
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