Simon / Shaffer Data Warehousing And Business Intelligence For e-Commerce

1. Auflage 2001
ISBN: 978-0-08-049102-8
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 320 Seiten, Web PDF

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.

Autoren/Hrsg.

Simon, Alan R.

Shaffer, Steven L.

Inhaltsverzeichnis

1;Front Cover;1
2;Data Warehousing and Business Intelligence for e-Commerce;4
3;Copyright Page;5
4;Contents;12
5;Foreword;9
6;Preface;20
7;Part I: Foundations: Concepts and Business Models;23
7.1;Chapter 1. Background, Terminology, Opportunity, and Challenges;26
7.1.1;Background: A Look Back at the 1990s;27
7.1.2;Terminology and Discussion;32
7.1.3;Opportunity;39
7.1.4;Challenges;50
7.1.5;Summary;53
7.2;Chapter 2. Business-to-Consumer Data Warehousing;56
7.2.1;B2C Business Models;57
7.2.2;A Data Warehousing Content Framework for e-Commerce;69
7.2.3;B2C Data Warehousing Needs;73
7.2.4;Summary;82
7.3;Chapter 3. Data Warehousing for Consumer-to-Consumer and Consumer-to-Business Models;84
7.3.1;Why the Distinction?;84
7.3.2;C2C Business Models;86
7.3.3;C2B Business Models;89
7.3.4;A Closer Look at Integrating Business Intelligence into a C2C Business Model;90
7.3.5;Summary;95
7.4;Chapter 4. Business-to-Business Data Warehousing;98
7.4.1;B2B Business Models;99
7.4.2;More about Business Intelligence Models for B2B;104
7.4.3;Summary;109
7.5;Chapter 5. e-Government and Data Warehousing;114
7.5.1;Government-to-Citizen e-Commerce Models;115
7.5.2;G2C Data Warehousing Implications;117
7.5.3;Business-to-Government e-Commerce Models;130
7.5.4;B2G Data Warehousing Implications;132
7.5.5;Summary;136
7.6;Chapter 6. Business-to-Employee Models and Data Warehousing;138
7.6.1;The ERP Link;139
7.6.2;Matching Employees with Appropriate Services;140
7.6.3;Analyzing B2E Data;142
7.6.4;Click-and-Mortar Environments;142
7.6.5;Summary;143
8;Part II: Building Blocks, Challenges, and Solutions;145
8.1;Chapter 7. Core Technologies and Building Blocks;148
8.1.1;Internet Protocols and Environment;150
8.1.2;Database Technology;159
8.1.3;Application Development and Integration;161
8.1.4;Vendor Web Development Platforms;173
8.1.5;Networking, Communications, and Protocols;181
8.1.6;User-Facing Technology;191
8.1.7;Summary;193
8.2;Chapter 8. Products for e-Commerce Intelligence;196
8.2.1;Vignette;197
8.2.2;Ithena;201
8.2.3;Revenio Dialog;206
8.2.4;Summary;214
8.3;Chapter 9. Data Quality and Integrity Issues;216
8.3.1;A Brief Overview of Data Quality and Data Warehousing;216
8.3.2;B2C Considerations and Complications;220
8.3.3;B2B Considerations and Complications;221
8.3.4;Solving the Data Quality Problem, Part 1: Source Data Analysis;223
8.3.5;Solving the Data Quality Problem, Part 2: Operationalizing Data Quality and Integrity;226
8.3.6;Summary;230
8.4;Chapter 10. Information Privacy and Systems Security Issues for e-Commerce Environments;232
8.4.1;e-Commerce Foundations That Underlie Privacy and Security Needs;234
8.4.2;Information Accessibility via the Internet;235
8.4.3;Information Privacy—Are There Any Protections?;236
8.4.4;The Current State of Web Site Privacy;237
8.4.5;How Can Information Be Collected? A Discussion of Cookies;238
8.4.6;Platform for Privacy Preferences Project;244
8.4.7;Internet Aggregation Services;245
8.4.8;Access to Government Information;246
8.4.9;Privacy—Where Do We Go from Here?;246
8.4.10;Security for e-Commerce;247
8.4.11;Developing an e-Commerce Security Strategy;248
8.4.12;Security Countermeasures and Approaches;255
8.4.13;e-Commerce Data Warehousing Implications;261
8.4.14;Summary;264
8.5;Chapter 11. Solutions Architecture Case Study;266
8.5.1;The Current (Pre-e-Commerce) Acme Computer Business Model;267
8.5.2;Acme’s e-Commerce Data Warehousing Strategy;278
8.5.3;e-Commerce Solutions Architecture;280
8.5.4;Summary;289
9;Index;292