Elsevier S & T

Data Warehousing And Business Intelligence For e-Commerce

Simon, Alan R.; Shaffer, Steven L.

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Table of contents
  • Cover
  • Copyright Pageiv
  • Contentsxi
  • Forewordviii
  • Prefacexix
  • Part I: Foundations: Concepts and Business Modelsxxii
  • Chapter 1. Background, Terminology, Opportunity, and Challenges3
  • Background: A Look Back at the 1990s4
  • Terminology and Discussion9
  • Opportunity16
  • Challenges27
  • Summary30
  • Chapter 2. Business-to-Consumer Data Warehousing33
  • B2C Business Models34
  • A Data Warehousing Content Framework for e-Commerce46
  • B2C Data Warehousing Needs50
  • Summary59
  • Chapter 3. Data Warehousing for Consumer-to-Consumer and Consumer-to-Business Models61
  • Why the Distinction?61
  • C2C Business Models63
  • C2B Business Models66
  • A Closer Look at Integrating Business Intelligence into a C2C Business Model67
  • Summary72
  • Chapter 4. Business-to-Business Data Warehousing75
  • B2B Business Models76
  • More about Business Intelligence Models for B2B81
  • Summary86
  • Chapter 5. e-Government and Data Warehousing91
  • Government-to-Citizen e-Commerce Models92
  • G2C Data Warehousing Implications94
  • Business-to-Government e-Commerce Models107
  • B2G Data Warehousing Implications109
  • Summary113
  • Chapter 6. Business-to-Employee Models and Data Warehousing115
  • The ERP Link116
  • Matching Employees with Appropriate Services117
  • Analyzing B2E Data119
  • Click-and-Mortar Environments119
  • Summary120
  • Part II: Building Blocks, Challenges, and Solutions122
  • Chapter 7. Core Technologies and Building Blocks125
  • Internet Protocols and Environment127
  • Database Technology136
  • Application Development and Integration138
  • Vendor Web Development Platforms150
  • Networking, Communications, and Protocols158
  • User-Facing Technology168
  • Summary170
  • Chapter 8. Products for e-Commerce Intelligence173
  • Vignette174
  • Ithena178
  • Revenio Dialog183
  • Summary191
  • Chapter 9. Data Quality and Integrity Issues193
  • A Brief Overview of Data Quality and Data Warehousing193
  • B2C Considerations and Complications197
  • B2B Considerations and Complications198
  • Solving the Data Quality Problem, Part 1: Source Data Analysis200
  • Solving the Data Quality Problem, Part 2: Operationalizing Data Quality and Integrity203
  • Summary207
  • Chapter 10. Information Privacy and Systems Security Issues for e-Commerce Environments209
  • e-Commerce Foundations That Underlie Privacy and Security Needs211
  • Information Accessibility via the Internet212
  • Information Privacy„Are There Any Protections?213
  • The Current State of Web Site Privacy214
  • How Can Information Be Collected? A Discussion of Cookies215
  • Platform for Privacy Preferences Project221
  • Internet Aggregation Services222
  • Access to Government Information223
  • Privacy„Where Do We Go from Here?223
  • Security for e-Commerce224
  • Developing an e-Commerce Security Strategy225
  • Security Countermeasures and Approaches232
  • e-Commerce Data Warehousing Implications238
  • Summary241
  • Chapter 11. Solutions Architecture Case Study243
  • The Current (Pre-e-Commerce) Acme Computer Business Model244
  • Acme’s e-Commerce Data Warehousing Strategy255
  • e-Commerce Solutions Architecture257
  • Summary266
  • Index269
Book details
  • Vendor Elsevier S & T
  • SKU 9781558607132
  • ISBN-13 9780080491028
  • Author Simon, Alan R.; Shaffer, Steven L.
  • Category Computers
  • Subject Data Warehousing

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You go online to buy a digital camera. Soon, you realize you've bought a more expensive camera than intended, along with extra batteries, charger, and graphics software-all at the prompting of the retailer.


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.

* Includes the latest from successful data warehousing consultants whose work has encouraged the field's new focus on e-commerce.
* Presents information that is written for both consultants and practitioners in companies of all sizes.
* Emphasizes the special needs and opportunities of traditional brick-and-mortar businesses that are going online or participating in B2B supply chains or e-marketplaces.
* Explains how long-standing assumptions about data warehousing have to be rethought in light of emerging business models that depend on customer intimacy.
* Provides advice on maintaining data quality and integrity in environments marked by extensive customer self-input.
* Advocates careful planning that will help both old economy and new economy companies develop long-lived and successful e-commerce strategies.
* Focuses on data warehousing for emerging e-commerce areas such as e-government and B2E environments.