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Designing a Data Warehouse Supporting Customer Relationship Management

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ISBN-10: 0130897124

ISBN-13: 9780130897121

Edition: 2001

Authors: Chris Todman

List price: $54.99
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Today's next-generation data warehouses are being built with a clear goal: to maximize the power of Customer Relationship Management. To make CRM-focused data warehousing work, IT professionals need new techniques, and new methodologies. In this book, Dr. Chris Todman delivers the first start-to-finish methodology for defining, designing, and implementing CRM-focused data warehouses. Designing Data Warehouses: Supporting Customer Relationship Management starts by identifying critical design challenges that are unique to CRM-focused data warehousing. In the context of CRM, Todman reviews data warehouse conceptual models, logical models, and physical implementation, and focuses on the crucial…    
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Book details

List price: $54.99
Copyright year: 2001
Publisher: Prentice Hall PTR
Publication date: 12/29/2000
Binding: Paperback
Pages: 352
Size: 6.75" wide x 9.00" long x 1.00" tall
Weight: 1.430
Language: English

Customer Relationship Management
The Business Dimension
Business Goals
Business Strategy
The Value Proposition
Customer Relationship Management
Summary
An Introduction to Data Warehousing
Introduction
What Is a Data Warehouse? Dimensional Analysis
Building a Data Warehouse
Problems When Using Relational Databases
Summary
Design Problems We Have to Face Up To
Dimensional Data Models
What Works for CRM
Summary
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
Conclusions to the Review of First-Generation Methods
The Conceptual Model
Requirements of the Conceptual Model
The Identification of Changes to Data
Dot Modeling
Dot Modeling Workshops
Summary
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
The Physical Implementation
The Data Warehouse Architecture
CRM Applications
Backup of the Data
Archival
Extraction and Load
Summary
Business Justification
The Incremental Approach
The Submission
Summary
Managing the Project
Introduction
What Are the Deliverables? What Assumptions and Risks Should I Include? What Sort of Team Do I Need? Summary
Software Products
Extraction, Transformation, and Loading
OLAP
Query Tools
Data Mining
Campaign Management
Personalization
Metadata Tools
Sorts
The Future
Temporal Databases (Temporal Extensions)
OLAP Extensions to SQL
Active Decision Support
External Data
Unstructured Data
Search Agents
DSS Aware Applications
Wine Club Temporal Classifications
Dot Model for the Wine Club
Logical Model for the Wine Club
Customer Attributes
References
Index
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