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DATA WAREHOUSING AND BUSINESS INTELLIGENCE FOR E-COMMERCE
Data Warehousing And Business Intelligence For e-CommerceTo order this title, and for more information, click here

By
Alan Simon
Steven Shaffer

Description
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.

Audience
Database practicioners and consultants

Contents
Foreword Preface Part I: Foundations: Concepts and Business Models Chapter 1: Background, Terminology, Opportunity, and Challenges Background: A Look Back at the 1990s ERP Applications Take Hold CRM Catches On Organizations Pursue Data Warehousing to Provide Business Intelligence The Internet Evolves to a Phenomenally Successful e-Commerce Engine Terminology and Discussion Data Warehousing Terminology Customer Relationship Management Terminology Internet Terminology Opportunity Challenges Discipline-Centric Views Dot-com Spin-offs Operating at "Internet Time" Overcoming the Challenges Summary Chapter 2: Business-to-Consumer Data Warehousing B2C Business Models Basic Product Selling Selling Services Product and Service Packaging and Brokering Portals and Communities Supporting Site for Traditional Channels Classifying a B2C Business A Data Warehousing Content Framework for e-Commerce B2C Data Warehousing Needs Customer-Focused Data Warehousing and Business Intelligence Operationally Focused Data Warehousing and Business Intelligence Summary Chapter 3: Data Warehousing for Consumer-to-Consumer and Consumer-to-Business Models Why the Distinction? C2C Business Models Online Auction Sites C2B Business Models A Closer Look at Integrating Business Intelligence into a C2C Business Model Summary Chapter 4: Business-to-Business Data Warehousing B2B Business Models Supply-Chain-Oriented B2B Marketplace-Centric B2B Hybrid B2B Models More about Business Intelligence Models for B2B Basic Customer Intelligence e-Marketplace Intelligence Value Chain Intelligence Summary Chapter 5: e-Government and Data Warehousing Government-to-Citizen e-Commerce Models G2C Data Warehousing Implications Click-and-Mortar Environments Necessity of a Complete "Customer Database" Geographic Boundaries Point Solution vs. Enterprise Data Warehousing Government-Specific Business Intelligence Metrics Business-to-Government e-Commerce Models B2G Data Warehousing Implications Bids and Awards Ongoing Supply Chain Operations Marketplaces and Exchanges Summary Chapter 6: Business-to-Employee Models and Data Warehousing The ERP Link Matching Employees with Appropriate Services Analyzing B2E Data Click-and-Mortar Environments Summary Part II: Building Blocks, Challenges, and Solutions Chapter 7: Core Technologies and Building Blocks Internet Protocols and Environment HyperText Markup Language (HTML) HyperText Transport Protocol (HTTP) Extensible Markup Language (XML) Cookies Wireless Access Protocol (WAP) and Wireless Markup Language (WML) SSL Database Technology Relational Database Technology Nonrelational Database Technology e-Commerce Data Warehousing Implications Application Development and Integration Extraction, Transformation, and Loading (ETL) Tools Messaging-Oriented Middleweave (MOM) Publish-and-Subscribe Directory Services Intelligent Agents Web Servers Application Servers ASPs Procedural Logic e-Commerce Data Warehousing Implications Vendor Web Development Platforms IBM Microsoft Allaire (Cold Fusion) Networking, Communications, and Protocols LANs (Ethernet) Interface Devices Wide Area Networks (WANs) Internet-Specific Networking User-Facing Technology Web Browsers Personal Digital Assistants (PDAs) e-Commerce Data Warehousing Implications Summary Chapter 8: Products for e-Commerce Intelligence Vignette The V/5 e-Business Platform Relationship Marketing Server Overview V/5 Relationship Marketing Server Architecture Ithena Ithena e-CI Premise Key Concepts in Ithena e-CI Ithena e-CI Architecture Ithena e-CI in Other e-Commerce Business Models Revenio Dialog Dialog Marketing Premise A Simple Example of Dialog Marketing Underlying Data Warehousing Environment Designing and Building the Dialog Marketing Environment Supported e-Commerce Business Models Summary Chapter 9: Data Quality and Integrity Issues A Brief Overview of Data Quality and Data Warehousing B2C Considerations and Complications B2B Considerations and Complications Solving the Data Quality Problem, Part 1: Source Data Analysis Solving the Data Quality Problem, Part 2: Operationalizing Data Quality and Integrity Summary Chapter 10: Information Privacy and Systems Security Issues for e-Commerce Environments e-Commerce Foundations That Underlie Privacy and Security Needs Acting on Personalization Information Buying and Selling Collections of Information Information Accessibility via the Internet Information Privacy?Are There Any Protections? The Current State of Web Site Privacy How Can Information Be Collected? A Discussion of Cookies The Purpose of Cookies Cookies and Consumer Targeting Cookies?Fundamental Privacy Risks Cookie Application Development Vulnerabilities Cookies and Internet Privacy The Conflict between Web Advertising and Privacy Cookies?Where Are We Going from Here? Platform for Privacy Preferences Project Internet Aggregation Services Access to Government Information Privacy?Where Do We Go from Here? Security for e-Commerce Developing an e-Commerce Security Strategy Security Policy Risk Analysis e-Commerce Threats Attack Methods The "Insider" Threat Security Countermeasures and Approaches Security Administration Security Processes and Procedures Security Education Encryption e-Commerce Data Warehousing Implications Privacy Security Summary Chapter 11: Solutions Architecture Case Study The Current (Pre-e-Commerce) Acme Computer Business Model Acme's Business Operations: Current and Desired States Strategy Decisions Acme's e-Commerce Data Warehousing Strategy e-Commerce Solutions Architecture Infrastructure Architecture B2C Software and Applications Architecture More about the Acme Computer Data Warehousing Environment B2B Architecture Human Resources Initiatives Summary Index

Bibliographic details
Paperback, 320 pages, publication date: MAY-2001
ISBN-13: 978-1-55860-713-2
ISBN-10: 1-55860-713-7
Imprint: MORGAN KAUFFMAN

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Last update: 27 Sep 2008
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