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Designing A Data Warehouse: Supporting Customer Relationship Management
Designing A Data Warehouse: Supporting Customer Relationship Management
ISBN: 0130897124
EAN: 2147483647
Year: 2000
Pages: 96
Authors:
Chris Todman
BUY ON AMAZON
Starting Page
Table of Content
Front Matter
List of Figures
Preface
FIRST GENERATION DATA WAREHOUSES
SECOND-GENERATION DATA WAREHOUSES AND CUSTOMER RELATIONSHIP MANAGEMENT
WHO SHOULD READ THIS BOOK
Acknowledgments
Chapter 1. Customer Relationship Management
THE BUSINESS DIMENSION
BUSINESS GOALS
BUSINESS STRATEGY
THE VALUE PROPOSITION
CUSTOMER RELATIONSHIP MANAGEMENT
SUMMARY
Chapter 2. An Introduction to Data Warehousing
INTRODUCTION
WHAT IS A DATA WAREHOUSE?
DIMENSIONAL ANALYSIS
BUILDING A DATA WAREHOUSE
PROBLEMS WHEN USING RELATIONAL DATABASES
SUMMARY
Chapter 3. Design Problems We Have to Face Up To
DIMENSIONAL DATA MODELS
WHAT WORKS FOR CRM
SUMMARY
Chapter 4. The Implications of Time in Data Warehousing
THE ROLE OF TIME
PROBLEMS INVOLVING TIME
CAPTURING CHANGES
FIRST-GENERATION SOLUTIONS FOR TIME
VARIATIONS ON A THEME
CONCLUSION TO THE REVIEW OF FIRST-GENERATION METHODS
Chapter 5. The Conceptual Model
REQUIREMENTS OF THE CONCEPTUAL MODEL
THE IDENTIFICATION OF CHANGES TO DATA
DOT MODELING
DOT MODELING WORKSHOPS
SUMMARY
Chapter 6. The Logical Model
LOGICAL MODELING
THE IMPLEMENTATION OF RETROSPECTION
THE USE OF THE TIME DIMENSION
LOGICAL SCHEMA
PERFORMANCE CONSIDERATIONS
CHOOSING A SOLUTION
FREQUENCY OF CHANGED DATA CAPTURE
CONSTRAINTS
EVALUATION AND SUMMARY OF THE LOGICAL MODEL
Chapter 7. The Physical Implementation
THE DATA WAREHOUSE ARCHITECTURE
CRM APPLICATIONS
BACKUP OF THE DATA
ARCHIVAL
EXTRACTION AND LOAD
SUMMARY
Chapter 8. Business Justification
THE INCREMENTAL APPROACH
THE SUBMISSION
SUMMARY
Chapter 9. Managing the Project
INTRODUCTION
WHAT ARE THE DELIVERABLES?
WHAT ASSUMPTIONS AND RISKS SHOULD I INCLUDE?
WHAT SORT OF TEAM DO I NEED?
Summary
Chapter 10. Software Products
EXTRACTION, TRANSFORMATION, AND LOADING
OLAP
QUERY TOOLS
DATA MINING
CAMPAIGN MANAGEMENT
PERSONALIZATION
METADATA TOOLS
SORTS
Chapter 11. The Future
TEMPORAL DATABASES (TEMPORAL EXTENSIONS)
OLAP EXTENSIONS TO SQL
ACTIVE DECISION SUPPORT
EXTERNAL DATA
UNSTRUCTURED DATA
SEARCH AGENTS
DSS AWARE APPLICATIONS
Appendix A. Wine Club Temporal Classifications
Appendix B. Dot Model for the Wine Club
APPENDIX B DOT MODEL FOR THE WINE CLUB
Appendix C. Logical Model for the Wine Club
Appendix D. Customer Attributes
HOUSEHOLD AND PERSONAL ATTRIBUTES
BEHAVIORAL ATTRIBUTES
FINANCIAL ATTRIBUTES
EMPLOYMENT ATTRIBUTES
INTERESTS AND HOBBY ATTRIBUTES
References
Designing A Data Warehouse: Supporting Customer Relationship Management
ISBN: 0130897124
EAN: 2147483647
Year: 2000
Pages: 96
Authors:
Chris Todman
BUY ON AMAZON
Kanban Made Simple: Demystifying and Applying Toyotas Legendary Manufacturing Process
Introduction to Kanban
Conduct Data Collection
Developing a Kanban Design
Conclusion
Appendix H Case Study 1: Motor Plant Casting Kanban
Professional Struts Applications: Building Web Sites with Struts ObjectRelational Bridge, Lucene, and Velocity (Experts Voice)
Creating a Struts-based MVC Application
Form Presentation and Validation with Struts
Managing Business Logic with Struts
Building a Data Access Tier with ObjectRelationalBridge
Templates and Velocity
Sap Bw: a Step By Step Guide for Bw 2.0
Business Scenario and SAP BW
Summary
Summary
Summary
Operational Data Store (ODS)
Quantitative Methods in Project Management
Project Value: The Source of all Quantitative Measures
Expense Accounting and Earned Value
Quantitative Time Management
Special Topics in Quantitative Management
Quantitative Methods in Project Contracts
.NET-A Complete Development Cycle
Introducing Software Engineering
Refined Requirements for Online Photo Shop
The Detailed Project Schedule
Unit Tests
Using OpenGL.NET
Digital Character Animation 3 (No. 3)
Creating Characters
Hierarchies and Character Animation
Mesh Deformation
Beyond Walking
Acting Vs. Animating
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