Data Warehousing and E-Commerce

Data Warehousing and E-Commerce

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This book offers the first start-to-finish blueprint for leveraging the power of data warehousing in e-Business. Leading consultant William Lewis reviews the current state of data warehousing, reviews how businesses are transforming themselves into multi-channel digital enterprises, and shows exactly how to leverage data warehousing in achieving these goals. Lewis shows how to define e-business IT architectures that take advantage of existing data warehouse resources; how to provide business Internet analytics via "data webhouses"; how to make the most of business information portals; how to handle storage cost-effectively, and much more. The book also includes detailed coverage of key technologies such as metadata repositories, JDBC and SQLJ, and XML. Each chapter concludes with a running case study from a hypothetical brick-and-mortar company seeking to leverage data warehousing as it transforms itself into a multi-channel digital enterprise. A supplemental section presents real-world case studies, as well as representative technologies from Microsoft, Bluestone, Epiphany, and other competitors.
For IT professionals and business decision-makers working in e-Commerce, including database developers and managers; CIOs and IT directors; business analysts and strategists; marketing professionals seeking high-quality information about customers and trends; and many others.
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Product details

  • Paperback | 304 pages
  • 175.26 x 231.14 x 20.32mm | 544.31g
  • Prentice Hall
  • Upper Saddle River, United States
  • English
  • w. figs.
  • 0130911542
  • 9780130911544

About William J. Lewis

WILLIAM J. LEWIS has more than 20 years of IT experience, spanning the financial services, energy, software, and consulting industries. In addition to his current specializations in data warehousing and e-business, he has been a leading-edge practitioner and thought leader on topics such as CASE, database middleware, and meta-data repositories. He is currently Associate Director in the Analytic Business Solutions practice of Cambridge Technology Partners.
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Table of contents

Foreword. Introduction. 1. A Crash (or Collision) Course: A History of Data Warehousing. The Current State of Data Warehousing and E-Commerce. It's the Data, Stupid! The Means to Many Ends. Business Trends and the Use of Data. Technological Underpinnings. Data Warehousing and E-Commerce at Tiosa Corporation.2. The New Economy: What Is It, Anyway? Channels. The Value Chain. Channels and the Value Chain. Integration. Tiosa CorporationOs Value Chain and Channels.3. Enterprise IT Architecture for the Digital Economy. Why Do IT Architecture? Who's Doing IT Architecture? What is an IT Architecture, Anyway? Components of an IT Architecture. Developing and Using a Data Architecture for E-Commerce. Tiosa Group Initiates Data Architecture Management.4. Output: Turning Data into Information. Successively Broader Scopes of Data. Interactive and Exploratory Data Analysis. Meta-data for E-Commerce and Beyond. The Business Intelligence Dissemination Lifecycle. E-Business Intelligence at Tiosa Group.5. Keeping the Data Around: Representation and Storage. Data Representation: Logical Data Storage. Structured and Unstructured Data. Physical Data Storage. Data-Hardware Interfaces for E-Commerce. Data Storage for E-Commerce at Tiosa Group.6. Input-Moving the Data Around. E-Commerce Data Integration. Data-Integration Infrastructure. XML, XML, and More XML. Transforming Data. Successively Broader Scopes of Data Integration. Enhancing the Data: Customer Matching and Householding. Assimilating External Data. Knowledge Management: The Input is the Issue. E-Commerce Data Movement at Tiosa Group.7. Data as a Product. E-Commerce and the Data Value Chain. A History of Data as a Product. E-Commerce Impact on Data Resources. Data Ownership. Data Specifications and Quality Data. Profiling of Production Data Resources. Refinement of Production Data Resources. The Data Product at Tiosa Group.8. Managing the Data Side of E-Commerce Projects. Project Management, in General-And Briefly. Tasks and Deliverables in an E-Commerce Project. Skills and Staffing: The E-Commerce Data Dream Team. Planning and Scheduling. The "Next" Project: E-Business Intelligence. Tiosa and the E-Commerce Data Dream Team.9. Case Studies: E-Business Data Management and Data Warehousing. Electronic Banking: EbizPioneer. Retail B2C: EbizDelivery. Financial B2C: EbizMoney. Financial B2B: EbizGlobal. Manufacturing B2B: EbizToolz. Outsourced E-Business Intelligence: EbizBI.10. Data Warehousing Versus E-Commerce? E-Commerce Software Standards. Data Versus Objects? Resolution and Accommodation? Tiosa Group: One Last Visit.11. A Data E-Technologies Product Catalog. Web Analytics. Business Intelligence. Online Analytical Processing (OLAP). Turnkey Data Marts. Data Mining. Enterprise Information Portals. Specialized Database Products: Main-memory, XML, and Federated DBMS. Virtual Data Warehousing. Data Enrichment. Customer Data Vendors. Product Data Vendors. Payment Processing and Tax Data Vendors. Extract, Transform, and Load (ETL). Knowledge Management. Application Servers. B2C E-Commerce Servers. B2B E-Commerce Servers. Middleware and Enterprise Application Integration. Relational DBMS. Java and Object-Oriented Development. XML Development. Meta-data Management. Database Administration Tools.Appendix: How to Read a Data Model Diagram. Bibliography and Recommended Reading. Index.
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