Data Warehousing And Business Intelligence For e-Commerce (eBook)

Front Cover 1
Data Warehousing and Business Intelligence for e-Commerce 4
Copyright Page 5
Contents 12
Foreword 9
Preface 20
Part I: Foundations: Concepts and Business Models 23
Chapter 1. Background, Terminology, Opportunity, and Challenges 26
Background: A Look Back at the 1990s 27
Terminology and Discussion 32
Opportunity 39
Challenges 50
Summary 53
Chapter 2. Business-to-Consumer Data Warehousing 56
B2C Business Models 57
A Data Warehousing Content Framework for e-Commerce 69
B2C Data Warehousing Needs 73
Summary 82
Chapter 3. Data Warehousing for Consumer-to-Consumer and Consumer-to-Business Models 84
Why the Distinction? 84
C2C Business Models 86
C2B Business Models 89
A Closer Look at Integrating Business Intelligence into a C2C Business Model 90
Summary 95
Chapter 4. Business-to-Business Data Warehousing 98
B2B Business Models 99
More about Business Intelligence Models for B2B 104
Summary 109
Chapter 5. e-Government and Data Warehousing 114
Government-to-Citizen e-Commerce Models 115
G2C Data Warehousing Implications 117
Business-to-Government e-Commerce Models 130
B2G Data Warehousing Implications 132
Summary 136
Chapter 6. Business-to-Employee Models and Data Warehousing 138
The ERP Link 139
Matching Employees with Appropriate Services 140
Analyzing B2E Data 142
Click-and-Mortar Environments 142
Summary 143
Part II: Building Blocks, Challenges, and Solutions 145
Chapter 7. Core Technologies and Building Blocks 148
Internet Protocols and Environment 150
Database Technology 159
Application Development and Integration 161
Vendor Web Development Platforms 173
Networking, Communications, and Protocols 181
User-Facing Technology 191
Summary 193
Chapter 8. Products for e-Commerce Intelligence 196
Vignette 197
Ithena 201
Revenio Dialog 206
Summary 214
Chapter 9. Data Quality and Integrity Issues 216
A Brief Overview of Data Quality and Data Warehousing 216
B2C Considerations and Complications 220
B2B Considerations and Complications 221
Solving the Data Quality Problem, Part 1: Source Data Analysis 223
Solving the Data Quality Problem, Part 2: Operationalizing Data Quality and Integrity 226
Summary 230
Chapter 10. Information Privacy and Systems Security Issues for e-Commerce Environments 232
e-Commerce Foundations That Underlie Privacy and Security Needs 234
Information Accessibility via the Internet 235
Information Privacy—Are There Any Protections? 236
The Current State of Web Site Privacy 237
How Can Information Be Collected? A Discussion of Cookies 238
Platform for Privacy Preferences Project 244
Internet Aggregation Services 245
Access to Government Information 246
Privacy—Where Do We Go from Here? 246
Security for e-Commerce 247
Developing an e-Commerce Security Strategy 248
Security Countermeasures and Approaches 255
e-Commerce Data Warehousing Implications 261
Summary 264
Chapter 11. Solutions Architecture Case Study 266
The Current (Pre-e-Commerce) Acme Computer Business Model 267
Acme’s e-Commerce Data Warehousing Strategy 278
e-Commerce Solutions Architecture 280
Summary 289
Index 292