List of Figures

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List of Figures

1.1 Just who are our best customers?
1.2 CRM in an organization.
1.3 The components of CRM.
1.4 The number of communication channels is growing.
 
2.1 Fragment of data model for the Wine Club.
2.2 Three-dimensional data cube.
2.3 Wine sales dimensional model for the Wine Club.
2.4 Data model showing multiple join paths.
2.5 The main components of a data warehouse system.
2.6 General-state transition diagram.
2.7 State transition diagram for the orders process.
2.8 Star schema showing the relationships between facts and dimensions.
2.9 Stratification of the data.
2.10 Snowflake schema for the sale of wine.
2.11 Levels of summarization in a data warehouse.
2.12 Modified data warehouse structure incorporating summary navigation and data mining.
 
3.1 Star schema for the Wine Club.
3.2 Third normal form version of the Wine Club dimensional model.
3.3 Confusing and intimidating hierarchy.
3.4 Common organizational hierarchy.
3.5 Star schema for the Wine Club.
3.6 Sharing information.
3.7 General model for customer details.
3.8 General model for a customer with changing circumstances.
3.9 Example model showing customer with changing circumstances.
3.10 The general model extended to include behavior.
3.11 The example model extended to include behavior.
3.12 General conceptual model for a customer-centric data warehouse.
3.13 Wine Club customer changing circumstances.
3.14 Wine Club customer behavior.
3.15 Derived segment examples for the Wine Club.
 
4.1 Fragment of operational data model.
4.2 Operational model with additional sales fact table.
4.3 Sales hierarchy.
4.4 Sales hierarchy with sales table attached.
4.5 Sales hierarchy showing altered relationships.
4.6 Sales hierarchy with intersection entities.
4.7 Sales hierarchy with data.
4.8 Simple general business hierarchy.
4.9 Graphical representation of temporal functions.
4.10 Types of temporal query.
4.11 Traditional resolution of m:n relationships.
4.12 Representation of temporal attributes by attaching them to the dimension.
4.13 Representation of temporal hierarchies by attaching them to the facts.
4.14 Representation of temporal attributes by attaching them to the facts.
 
5.1 Example of a two-dimensional report.
5.2 Example of a three-dimensional cube.
5.3 Simple multidimensional dot model.
5.4 Representation of the Wine Club using a dot model.
5.5 Customer-centric dot model.
5.6 Initial dot model for the Wine Club.
5.7 Refined dot model for the Wine Club.
5.8 Dot modeling worksheet showing Wine Club sales behavior.
5.9 Example of a hierarchy
 
6.1 ER diagram showing new relationships to the time dimension.
6.2 Logical model of part of the Wine Club
 
7.1 The EASI data architecture.
7.2 Metadata model for validation.
7.3 Integration layer.
7.4 Additions to the metadata model to include the source mapping layer.
7.5 Metadata model for the VIM layer.
7.6 Customer nonchanging details.
7.7 The changing circumstances part of the GCM.
7.8 Behavioral model for the Wine Club.
7.9 Data model for derived segments.
7.10 Daily partitions.
7.11 Duplicated input.
 
8.1 Development abstraction shown as a roadmap.
9.1 Classic waterfall approach.
 
9.2 Example project team structure.
 
10.1 Extraction, transformation, and load processing.
10.2 Typical OLAP architecture.
10.3 Descriptive field distribution.
10.4 Numeric field distribution using a histogram.
10.5 Web plot that relates gender to regions .
10.6 Rule induction for wine sales.
10.7 Example of a multiphase campaign.
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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

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