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More About This Textbook
Overview
Happy with your purchases? The retailer certainly is, and if you are too, you both can be said to be the beneficiaries of "customer intimacy" achieved through the transformation of data collected during this visit or stored from previous visits into real business intelligence that can be exercised in real time.
Data Warehousing and Business Intelligence for e-Commerce is a practical exploration of the technological innovations through which traditional data warehousing is brought to bear on this and other less modest e-commerce applications, such as those at work in B2B, G2C, B2G, and B2E models. The authors examine the core technologies and commercial products in use today, providing a nuts-and-bolts understanding of how you can deploy customer and product data in ways that meet the unique requirements of the online marketplace-particularly if you are part of a brick-and-mortar company with specific online aspirations. In so doing, they build a powerful case for investment in and aggressive development of these approaches, which are likely to separate winners from losers as e-commerce grows and matures.
Features
Audience: Database practicioners and consultants.
Editorial Reviews
From Barnes & Noble
The Barnes & Noble Review"Classical" data warehousing, focusing on "after the fact" analysis, is no longer enough. Companies need answers from data warehousing systems now, so those answers can support all key business processes in real time. In this book, two leading help IT professionals understand how to extend, rearchitect, and even reimagine their data warehouses in ways that make them far more central to the enterprise.
They start by showing how data warehousing can best be incorporated into each leading e-commerce model: B2C, B2B, consumer-to-business, consumer-to-consumer, business to employee, and even e-government. The applications are creative -- for example, helping auction sites flag new listings that might be subject to fraud; or helping companies evaluate the impact of their own e-procurement initiatives on customer satisfaction and retention.
Next, they move on to the building blocks of next-generation data warehousing. There's a full chapter on packaged products that can serve as a foundation (Vignette, Ithena, and Revenio Dialog); as well as careful discussions of data quality, integrity, privacy, and systems security. The book concludes with a detailed case study: architecting a solution for a bricks-and-mortar company with significant business challenges. (Like yours, perhaps?) (Bill Camarda)
Bill Camarda is a consultant and writer with nearly 20 years' experience in helping technology companies deploy and market advanced software, computing, and networking products and services. His 15 books include Special Edition Using Word 2000 and Upgrading & Fixing Networks For Dummies®, Second Edition.
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Meet the Author
Alan Simon is a leading authority on data warehousing and database technology. He is the author of 26 books, including the previous edition of this book and the forthcoming Data Warehousing and Business Intelligence for e-Commerce, available from Morgan Kaufmann Publishers in early 2001. He currently provides data warehousing-related consulting services to clients.
Steven L. Shaffer is currently specializing in the e-business technology market and was formerly the director of sales for Belenos, Inc., a firm specializing in providing e-business and network infrastructure services to the service provider marketplace. He was also formerly a vice president with SSDS, Inc., a Denver-based security and systems integration firm, and a branch manager with Sprint e-Solutions. Mr. Shaffer is currently a senior manager at Sprint.
Table of Contents
Chapter 1: Background, Terminology, Opportunity, and Challenges
Chapter 2: Business-to-Consumer Data Warehousing
Chapter 3: Data Warehousing for Consumer-to-Consumer and Consumer-to-Business Models
Chapter 4: Business-to-Business Data Warehousing
Chapter 5: e-Government and Data Warehousing
Chapter 6: Business-to-Employee Models and Data Warehousing
Part II: Building Blocks, Challenges, and Solutions
Chapter 7: Core Technologies and Building Blocks
Chapter 8: Products for e-Commerce Intelligence
Chapter 9: Data Quality and Integrity Issues
Chapter 10: Information Privacy and Systems Security Issues for e-Commerce Environments
Chapter 11: Solutions Architecture Case Study