Data warehousing and business intelligence for e-Commerce / Alan R. Simon & Steven L. Shaffer.

Enhanced descriptions from Syndetics:

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.

Table of contents provided by Syndetics

• Foreword (p. vii)
• Preface (p. xix)
• Part I Foundations: Concepts and Business Models (p. 1)
• Chapter 1 Background, Terminology, Opportunity, and Challenges (p. 3)
• Background: A Look Back at the 1990s (p. 4)
• ERP Applications Take Hold (p. 5)
• CRM Catches On (p. 6)
• Organizations Pursue Data Warehousing to Provide Business Intelligence (p. 7)
• The Internet Evolves to a Phenomenally Successful e-Commerce Engine (p. 8)
• Terminology and Discussion (p. 9)
• Data Warehousing Terminolog (p. 9)
• Customer Relationship Management Terminology (p. 12)
• Internet Terminology (p. 15)
• Opportunity (p. 16)
• Challenges (p. 27)
• Discipline-Centric Views (p. 27)
• Dot-com Spin-offs (p. 29)
• Operating at "Internet Time" (p. 29)
• Overcoming the Challenges (p. 29)
• Summary (p. 30)
• Chapter 2 Business-to-Consumer Data Warehousing (p. 33)
• B2C Business Models (p. 34)
• Basic Product Selling (p. 34)
• Selling Services (p. 38)
• Product and Service Packaging and Brokering (p. 40)
• Portals and Communities (p. 41)
• Supporting Site for Traditional Channels (p. 42)
• Classifying a B2C Business (p. 43)
• A Data Warehousing Content Framework for e-Commerce (p. 46)
• B2C Data Warehousing Needs (p. 50)
• Customer-Focused Data Warehousing and Business Intelligence (p. 51)
• Operationally Focused Data Warehousing and Business Intelligence (p. 59)
• Summary (p. 59)
• Chapter 3 Data Warehousing for Consumer-to-Consumer and Consumer-to-Business Models (p. 61)
• Why the Distinction? (p. 61)
• C2C Business Models (p. 63)
• Online Auction Sites (p. 63)
• C2B Business Models (p. 66)
• A Closer Look at Integrating Business Intelligence into a C2C Business Model (p. 67)
• Summary (p. 72)
• Chapter 4 Business-to-Business Data Warehousing (p. 75)
• B2B Business Models (p. 76)
• Supply-Chain-Oriented B2B (p. 76)
• Marketplace-Centric B2B (p. 78)
• Hybrid B2B Models (p. 80)
• More about Business Intelligence Models for B2B (p. 81)
• Basic Customer Intelligence (p. 81)
• e-Marketplace Intelligence (p. 85)
• Value Chain Intelligence (p. 86)
• Summary (p. 86)
• Chapter 5 e-Government and Data Warehousing (p. 91)
• Government-to-Citizen e-Commerce Models (p. 92)
• G2C Data Warehousing Implications (p. 94)
• Click-and-Mortar Environments (p. 94)
• Necessity of a Complete "Customer Database" (p. 95)
• Geographic Boundaries (p. 104)
• Point Solution vs. Enterprise Data Warehousing (p. 105)
• Government-Specific Business Intelligence Metrics (p. 107)
• Business-to-Government e-Commerce Models (p. 107)
• B2G Data Warehousing Implications (p. 109)
• Bids and Awards (p. 109)
• Ongoing Supply Chain Operations (p. 111)
• Marketplaces and Exchanges (p. 113)
• Summary (p. 113)
• Chapter 6 Business-to-Employee Models and Data Warehousing (p. 115)
• The ERP Link (p. 116)
• Matching Employees with Appropriate Services (p. 117)
• Analyzing B2E Data (p. 119)
• Click-and-Mortar Environments (p. 119)
• Summary (p. 120)
• Part II Building Blocks, Challenges, and Solutions (p. 122)
• Chapter 7 Core Technologies and Building Blocks (p. 125)
• Internet Protocols and Environment (p. 127)
• HyperText Markup Language (HTML) (p. 127)
• HyperText Transport Protocol (HTTP) (p. 129)
• Extensible Markup Language (XML) (p. 130)
• Cookies (p. 132)
• Wireless Access Protocol (WAP) and Wireless Markup Language (WML) (p. 133)
• SSL (p. 135)
• Database Technology (p. 136)
• Relational Database Technology (p. 136)
• Nonrelational Database Technology (p. 137)
• e-Commerce Data Warehousing Implications (p. 137)
• Application Development and Integration (p. 138)
• Extraction, Transformation, and Loading (ETL) Tools (p. 139)
• Messaging-Oriented Middleweave (MOM) (p. 139)
• Publish-and-Subscribe (p. 140)
• Directory Services (p. 141)
• Intelligent Agents (p. 142)
• Web Servers (p. 142)
• Application Servers (p. 144)
• ASPs (p. 147)
• Procedural Logic (p. 148)
• e-Commerce Data Warehousing Implications (p. 149)
• Vendor Web Development Platforms (p. 150)
• IBM (p. 150)
• Microsoft (p. 154)
• Allaire (Cold Fusion) (p. 155)
• Networking, Communications, and Protocols (p. 158)
• LANs (Ethernet) (p. 159)
• Interface Devices (p. 160)
• Wide Area Networks (WANs) (p. 163)
• Internet-Specific Networking (p. 165)
• User-Facing Technology (p. 168)
• Web Browsers (p. 168)
• Personal Digital Assistants (PDAs) (p. 169)
• e-Commerce Data Warehousing Implications (p. 169)
• Summary (p. 170)
• Chapter 8 Products for e-Commerce Intelligence (p. 173)
• Vignette (p. 174)
• The V/5 e-Business Platform (p. 174)
• Relationship Marketing Server Overview (p. 174)
• V/5 Relationship Marketing Server Architecture (p. 177)
• Ithena (p. 178)
• Ithena e-CI Premise (p. 179)
• Key Concepts in Ithena e-CI (p. 179)
• Ithena e-CI Architecture (p. 182)
• Ithena e-CI in Other e-Commerce Business Models (p. 183)
• Revenio Dialog (p. 183)
• Dialog Marketing Premise (p. 184)
• A Simple Example of Dialog Marketing (p. 184)
• Underlying Data Warehousing Environment (p. 187)
• Designing and Building the Dialog Marketing Environment (p. 189)
• Supported e-Commerce Business Models (p. 190)
• Summary (p. 191)
• Chapter 9 Data Quality and Integrity Issues (p. 193)
• A Brief Overview of Data Quality and Data Warehousing (p. 193)
• B2C Considerations and Complications (p. 197)
• B2B Considerations and Complications (p. 198)
• Solving the Data Quality Problem, Part 1: Source Data Analysis (p. 200)
• Solving the Data Quality Problem, Part 2: Operationalizing Data Quality and Integrity (p. 203)
• Summary (p. 207)
• Chapter 10 Information Privacy and Systems Security Issues for e-Commerce Environments (p. 209)
• e-Commerce Foundations That Underlie Privacy and Security Needs (p. 211)
• Acting on Personalization Information (p. 211)
• Buying and Selling Collections of Information (p. 211)
• Information Accessibility via the Internet (p. 212)
• Information Privacy--Are There Any Protections? (p. 213)
• The Current State of Web Site Privacy (p. 214)
• How Can Information Be Collected? A Discussion of Cookies (p. 215)
• The Purpose of Cookies (p. 216)
• Cookies and Consumer Targeting (p. 216)
• Cookies--Fundamental Privacy Risks (p. 217)
• Cookie Application Development Vulnerabilities (p. 217)
• Cookies and Internet Privacy (p. 217)
• The Conflict between Web Advertising and Privacy (p. 219)
• Cookies--Where Are We Going from Here? (p. 220)
• Platform for Privacy Preferences Project (p. 221)
• Internet Aggregation Services (p. 222)
• Access to Government Information (p. 223)
• Privacy--Where Do We Go from Here? (p. 223)
• Security for e-Commerce (p. 224)
• Developing an e-Commerce Security Strategy (p. 225)
• Security Policy (p. 226)
• Risk Analysis (p. 226)
• e-Commerce Threats (p. 227)
• Attack Methods (p. 229)
• The "Insider" Threat (p. 232)
• Security Countermeasures and Approaches (p. 232)
• Security Administration (p. 233)
• Security Processes and Procedures (p. 233)
• Security Education (p. 234)
• Encryption (p. 234)
• e-Commerce Data Warehousing Implications (p. 238)
• Privacy (p. 238)
• Security (p. 240)
• Summary (p. 241)
• Chapter 11 Solutions Architecture Case Study (p. 243)
• The Current (Pre-e-Commerce) Acme Computer Business Model (p. 244)
• Acme's Business Operations: Current and Desired States (p. 245)
• Strategy Decisions (p. 253)
• Acme's e-Commerce Data Warehousing Strategy (p. 255)
• e-Commerce Solutions Architecture (p. 257)
• Infrastructure Architecture (p. 257)
• B2C Software and Applications Architecture (p. 259)
• More about the Acme Computer Data Warehousing Environment (p. 262)
• B2B Architecture (p. 265)
• Human Resources Initiatives (p. 266)
• Summary (p. 266)
• Index (p. 269)

Author notes provided by Syndetics

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.