Data warehousing and business intelligence for e-commerce
著者
書誌事項
Data warehousing and business intelligence for e-commerce
Morgan Kaufmann, c2001
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
Part I: Foundations: Concepts and Business Models
Chapter 1: Background, Terminology, Opportunity, and Challenges
Chapter 2: Business-to-Consumer Data Warehousing
Chapter 3: Data Warehousing for Consumer-to-Consumer and Consumer-to-Business Models
Chapter 4: Business-to-Business Data Warehousing
Chapter 5: e-Government and Data Warehousing
Chapter 6: Business-to-Employee Models and Data Warehousing
Part II: Building Blocks, Challenges, and Solutions
Chapter 7: Core Technologies and Building Blocks
Chapter 8: Products for e-Commerce Intelligence
Chapter 9: Data Quality and Integrity Issues
Chapter 10: Information Privacy and Systems Security Issues for e-Commerce Environments
Chapter 11: Solutions Architecture Case Study
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