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Dan's Picks

I have reviewed and recommend the following DSS books. Dan Power

 

Data Warehouse Project Management
by Sid Adelman and Larissa Terpeluk Moss
September 2000

Data warehouse development projects present a unique set of management challenges that can confound even the most experienced project manager. Data Warehouse Project Management addresses these challenges and provides a comprehensive roadmap to managing every aspect of data warehouse design, development, and implementation. Drawing on their extensive experience in the field, Sid Adelman and Larissa Moss point to critical success factors, reveal the many pitfalls to watch out for, and offer proven solutions that will enable you to put a successful data warehouse project into place. This book includes a CD-ROM.ISBN: 0201616351

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The Essential Guide to Data Warehousing
by Lou Agosta
August 1999

The Publisher says: "Agosta presents the quantitative business case for (and against) data warehousing, and helps you evaluate every key data warehousing application in the context of your own enterprise. Learn how to use data warehousing to slash supply chain management costs, make cross-selling more effective, strengthen customer and brand relationships, promote product quality, and more. Discover how to align your business and technical goals for data warehousing; then review every stage of the data warehousing project lifecycle, from planning and design through deployment and optimization. Understand what can go wrong - and how to keep it from happening to you!. "The Essential Guide to Data Warehousing is for every business executive and IT professional seeking to understand the benefits, risks, and technologies of data warehousing - without the jargon and hype." ISBN: 013085087X

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VBA for Modelers
by S. Christian Albright

This handbook helps students learn to use Visual Basic for Applications (VBA - a programming environment within Microsoft® Office) as a means to automate methods and models and create special applications. With VBA, sophisticated management science techniques work behind a simple and nice interface. Gaining valuable experience, students will develop applications that are user friendly and tailored to a specific problem while the "number crunching" takes place behind the scenes of Microsoft® Excel.

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Seven Methods for Transforming Corporate Data into Business Intelligence
by Vasant Dhar with Roger Stein

This book covers all major DSS related AI techniques, including genetic algorithms, neural networks, rule-based systems, fuzzy logic, case-based systems, and machine learning algorithms; it also covers Data-Driven DSS including OLAP and data warehousing.Dhar and Stein discuss selecting the most appropriate tool for different Decision Support challenges. The book includes seven detailed case studies.

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Building the Data Warehouse (3rd Edition)
by William H. Inmon
March 2002

From the Publisher: "Written by the inventor of the data warehousing concept, this classic introduction has become the bible of data warehousing. A lot has changed in this technology since the last edition appeared in 1996. The third edition reflects these changes and provides a comprehensive introduction to data marts, operational data stores, the corporate information factory, exploration warehouses, and Web-enabled data warehouses. In addition, Inmon shows how the traditional data warehouse can be integrated with new technologies, including the Web, to provide enhanced customer service and support." ISBN: 0471081302

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Corporate Information Factory
by William H. Inmon, Claudia Imhoff and Ryan Sousa
March 2002 (second edition)

The Publisher says: "From traditional data warehousing to data marts and operational data stores, a dizzying array of architectures and tools are now available to help enterprises strategically use and manage information. Each has its unique costs and benefits associated with delivering value to the business. But, despite all the hype, not all solutions are equally well suited to every company's needs. In Corporate Information Factory, Bill Inmon, Claudia Imhoff, and Ryan Sousa introduce a practical and proven framework that shows companies how to leverage these solutions to build a company-wide information ecosystem." ISBN: 0471399612 Read excerpt.

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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
by Ralph Kimball
April 2002

The latest edition of the single most authoritative guide on dimensional modeling for data warehousing!Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques–– the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball’s classic guide is more than sixty percent updated.

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The Data Webhouse Toolkit: Building the Web-Enabled Data Warehouse
by Ralph Kimball and Richard Merz
February 2000

Data warehouse expert, Ralph Kimball, introduces readers to the concept of a Data Webhouse - the marriage of the datawarehouse and the Web. Kimball and Merz argue a Webhouse can become the linchpin ofthe modern, customer-focused company, providing competitive information essential to managers andstrategic decision makers. This book focuses on bringing the Web to your datawarehouse by capturing e-commerce customer behavior and on using your intranet to publish data warehouse information.ISBN: 0471376809

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Distributed Data Warehousing Using Web Technology: How to Build a More Cost-Effective and Flexible Warehouse
R. A. Moeller
September 2000

This book discusses a step-by-step process for building distributed Data Warehouses. It includes a discussion on security, and will assist in multiple environments. Some topics include Data Warehouse architecture, data placement in distributed warehouses, concurrency control in distributed warehouses, and security issues for a distributed Data Warehouse.ISBN: 0814405886

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Oracle Data Warehousing
by Bonnie O'Neil et al.

Oracle Data Warehousing Unleashed is a comprehensive resource about using Oracle's RelationalDatabase products to store and manage a collection of historical corporate information. It covers the key aspects of building and maintaining a data warehouse: project planning, data scrubbing, metadata, data modeling, star schema, spatial challenges, security, backup and recovery, tuning loads, data mining and data marts.

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Spreadsheet Modeling and Decision Analysis
by Cliff T. Ragsdale
July 2000

Cliff Ragsdale is an innovator and this new edition of his book is very helpful for building Spreadsheet-Based Model-Driven DSS. It provides an introduction to the most commonly used management sciencetechniques. It shows how these tools can be implemented using Microsoft Excel. The book uses algebraic formulations and spreadsheets to develop Model-Driven DSS conceptual thinking skills. The emphasis of the book is onmodel formulation and interpretation rather than algorithms. It includes realistic examples with step-by-stepinstructions. It includes a CD-ROM. ISBN: 0324021224

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Document Warehousing and Text Mining:
Techniques for Improving Business Operations, Marketing, and Sales
by Dan Sullivan
March 2001

This book shows warehouse developers and managers how to build this new type of warehouse, how to organize free-form text for easy access, and, most importantly, how to exploit text mining techniques to provide timely and accurate information for decision-makers. The author covers the complete process of building and managing a document warehouse, including examples of actual implementations, a review of security issues and tools such as XML and Wide Area Information Servers and their selection criteria, and how text mining techniques are different from data mining techniques.ISBN: 0471399590

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OLAP Solutions: Building Multidimensional
Information Systems (2nd ed.)

by Eric Thomsen

A comprehensive guide to using OLAP technologies to implement and use multidimensional databases. This book is a hands-on guide to using OLAP to create multidimensional data systems that quickly retrieve information from storage. This edition is thoroughly revised, offering expanded coverage of logical issues such as dimensional hierarchies, as well as physical issues of data storage, access, and calculation. Thomsen has also created an entirely new application section that provides a computational cross-value chain model of ten interconnected business processes within the context of a manufacturing company. March 2002, ISBN: 0471400300.

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The Knowledge Management Toolkit:
Practical Techniques for Building a Knowledge Management System
by Amrit Tiwana
October 1999

Knowledge Management Toolkit has hands-on techniques and tools for "making KM happen at your company". Readers can learn how to use Knowledge Management to extend the existing intranet, data warehouse, and project management investments. Checklists help you focus on critical issues every step of the way. It includes case studies from leading companies worldwide, from Nortel to Rolls Royce.ISBN: 0130128538

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Building Executive Information Systems
by Hugh J. Watson, George Houdeshel, Rex K. Rainer, and R. Kelly Rainer

Watson et al. (1997) combine research findings and their practical experiences to present acomprehensive look at Executive Information Systems (EIS) and other decision support applications.They discuss how EIS differs from other applications. This textbook covers what readers need to know to understand and develop executive information systems. It discusses a wide array of tools to supportexecutive decision making.

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Decision Support in the Data Warehouse
by Hugh J. Watson and Paul Gray

Decision Support in the Data Warehouse demystifies data warehousing's technical jargon and provides a complete framework for building, maintaining, and using a data warehouse for decision support. This is the first book that integrates building and operating a data warehouse; developing decision support applications using the warehouse; and using the right warehouse tools. The book clearly describes the business and technical issues important to data warehousing success. They are brought to life with up-to-the-minute case studies drawn from today's leading organizations. Learn how to have a strategic business impact with your warehouse.

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Data Warehousing: Using the Wal-Mart Model
by Paul Westerman
August 2000

This book is an insider's view of building a data warehouse for Wal-Mart. "At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, andarguably most successful commercial database." Target audience of the book isproject managers, consultants, data warehouse managers, and data architects. ISBN: 155860684X

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Authors of new DSS Books should request that review copies be sent to D. J. Power. I will try to feature the best new DSS books and "classic" DSS books on the DSSResources.COM Bookstore index page.

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