Exploration warehousing: turning business information into business opportunity
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Wiley
2000
|
| Schriftenreihe: | Wiley computer publishing
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVIII, 254 S. |
| ISBN: | 0471374733 |
Internformat
MARC
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| 650 | 7 | |a Management informatiesystemen |2 gtt | |
| 650 | 4 | |a Management information systems | |
| 650 | 7 | |a Marketing |2 gtt | |
| 650 | 4 | |a Consumer behavior | |
| 650 | 4 | |a Data warehousing | |
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Datensatz im Suchindex
| _version_ | 1804128216049254400 |
|---|---|
| adam_text | Acknowledgments xi
About the Authors xiii
Preface xv
Chapter 1 The Information Infrastructure 1
The Corporate Information Factory Architecture 2
The Legacy/Operational Application Environment 3
The Integration and Transformation Layer 4
The Enterprise Data Warehouse 6
Data Marts 7
The Exploration Warehouse 8
Near Line Storage 9
Exploration Processing 9
What Is the Explorer Looking For? 11
What Does the Explorer Need? 11
Analyzing Patterns 12
Simple Pattern Analysis 14
Complex Pattern Analysis 14
Pattern Processing and Data 16
Acquiring Data for Pattern Analysis 20
Data Quality and Pattern Processing 21
The Corporate Information Factory and Pattern Processing 21
In Summary 24
Chapter 2 The Exploration Warehouse 25
Exploration Warehouse Sources 25
Enterprise Data Warehouse Feeds 25
Near Line Storage Feeds 26
External Data Feeds 27
Evolution of the Exploration Warehouse 28
v
Creating The Exploration Warehouse 30
Creating a Permanent or Temporary Structure 30
Subdividing Data in the Exploration Warehouse 31
Partitioning Data in the Exploration Warehouse 33
Incremental Loading of the Exploration Warehouse 33
Normalizing Data 34
Exploration Processing 38
Data Stabilization 38
Restoring Previous Analyses 39
Which to Build First? 40
Exploration Warehouse Categories 41
In Summary 42
Chapter 3 The Exploration Warehouse and the Chain of Beneficence 43
From Numbers to Competitive Advantage 44
The Start of the Quest 44
Different Types of Data Bases 45
The Chain of Beneficence 46
Examples of the Chain 48
Heuristic Processing 50
Samples and Heuristic Analysis 51
Sampling Techniques 54
Reuse of Analysis 55
In Summary 55
Chapter 4 Exploration Processing 57
Gathering Data and Finding Patterns 58
Focus on the Customer 59
Determining Causality of Behavior and Correlation
between Variables 59
The Spectrum of Relationships: Identifying External Forces 60
Capitalizing on Predictability 70
A Simple Methodology for Exploration Analysis 71
The Point of Interest 71
Conditions of Insight 74
Different Approaches to Exploration Analysis 83
The Pattern to Business Model Approach 84
The Business Model to Pattern Approach 91
Examples of Exploration Processing 96
Air Bag Manufacturer 96
Banking Customer Relationship Management 97
Customer Churn in the Telephone Environment 102
Quality Assurance in Manufacturing 103
In Summary 105
Chapter 5 Analytical Exploration Processing 107
A Defined Business Problem 108
Inductive versus Deductive Processes 111
Validity and Reliability 112
Defining Analytical Relationships in Exploration 113
Causal Relationships 114
Spurious Relationships 115
Concomitant Variation 116
Specification 117
Drill Down 118
Units of Analysis 119
Business Models and Exploration 120
Push Models and Exploration 121
Pull Models and Exploration 122
Event Driven Exploration 123
Time and the Exploration Process 124
Hypothesis Formation 125
Beginning the Analytical Process: Simple Single
Variable Analysis 126
Interpreting Results 126
To Iterate or to Act? 126
Exploration in Web Businesses versus Brick and Mortar
Businesses 127
In Summary 128
viii |^BSQB|||^||HHIHBIHHHHIHHHHHHHH
Chapter 6 Analytical Data Mining 131
Data Preparation for Data Mining 132
Basic Types of Mining Processes 134
Regression Analysis 135
Cluster Analysis 136
Neural Networks 137
Time Series Analysis 140
Data Mining in Brick and Mortar Companies 140
Data Mining and e Commerce 141
Platform Selection for Data Mining 142
Tool Selection for Data Mining 143
The Value of Mined Information 143
Impact of Mined Data on the Business Model 144
In Summary 144
Chapter 7 From Pattern to Competitive Advantage 145
A Basic Formula for Gaining Competitive Advantage 145
Identifying Environmental Factors 145
Formulating a Strategic Plan 146
Determining Specific Objectives 147
Examples of Finding Competitive Advantage 148
A Financial Institution 149
Golfers 150
Supermarket Sales 152
Travelers 154
Steel Manufacturing 156
In Summary 158
Chapter 8 Designing the Exploration Warehouse 159
Data Flow into the Exploration Warehouse 160
Using the Data Model 161
The Partial Design Approach 161
Data Model Constraints 162
Data Mining Design versus Data Exploration Design 162
Creating Exploration Marts 164
Temporary or Permanent Exploration Warehouses 165
Manipulation of Data in Flight 165
Maintenance of Granularity 166
Design Approaches 166
Integrated Exploration Warehouse Data 168
Attributes of the Exploration Warehouse 169
Volumes of Data 170
Purging an Exploration Project 171
Meta Data and the Exploration Warehouse 172
Dynamic/Static Exploration Warehouse Differences 172
In Summary 173
Chapter 9 The Politics of Exploration 175
The Exploration Crucible 176
How Does Exploration Start? 176
Budgets for the Exploration Warehouse 177
After the Home Run 178
Critical Success Factors 178
Explorer Motivation 178
Management Communications 179
Putting Discovery into Action 179
In Summary 180
Chapter 10 Data Mining: From Analysis to Business 181
A Symbiotic Relationship 181
Degrees of Truth 183
Examples of Degree of Truth 184
Exploration, Mining, and the Value Development
Process 186
In Summary 189
Chapter 11 Exploration and Data Mining Technologies 191
The Token Based Approach 192
In Memory Exploration Processing 196
White Cross 198
In Memory versus Token Based 199
Large Data Bases 200
Static or Dynamic 200
SAS Institute s Enterprise Miner 201
In Summary 203
Chapter 12 Business Communities of the Corporate
Information Factory 205
Farmers 205
Fanner Business Characteristics 206
Architectural Requirements 208
Tourists 208
Tourist Business Characteristics 209
Architectural Requirements 210
Explorers 212
Explorer Business Characteristics 213
Architectural Requirements 214
Miners 214
Miner Business Characteristics 215
Architectural Requirements 216
Operators 216
Operator Business Requirements 217
Architectural Requirements 218
In Summary 220
Glossary 221
Index 249
|
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| id | DE-604.BV013426929 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:45:43Z |
| institution | BVB |
| isbn | 0471374733 |
| language | English |
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| spelling | Inmon, William H. 1945- Verfasser (DE-588)113317662 aut Exploration warehousing turning business information into business opportunity W. H. Inmon ; R. H. Terdeman ; Claudia Imhoff New York, NY Wiley 2000 XVIII, 254 S. txt rdacontent n rdamedia nc rdacarrier Wiley computer publishing Data mining Data warehouse gtt Data-analyse gtt Informatiemanagement gtt Management informatiesystemen gtt Management information systems Marketing gtt Consumer behavior Data warehousing Database management Marketing Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Management (DE-588)4037278-9 gnd rswk-swf Management (DE-588)4037278-9 s Data-Warehouse-Konzept (DE-588)4406462-7 s DE-604 Terdeman, Robert H. Verfasser aut Imhoff, Claudia Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009163221&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Inmon, William H. 1945- Terdeman, Robert H. Imhoff, Claudia Exploration warehousing turning business information into business opportunity Data mining Data warehouse gtt Data-analyse gtt Informatiemanagement gtt Management informatiesystemen gtt Management information systems Marketing gtt Consumer behavior Data warehousing Database management Marketing Data-Warehouse-Konzept (DE-588)4406462-7 gnd Management (DE-588)4037278-9 gnd |
| subject_GND | (DE-588)4406462-7 (DE-588)4037278-9 |
| title | Exploration warehousing turning business information into business opportunity |
| title_auth | Exploration warehousing turning business information into business opportunity |
| title_exact_search | Exploration warehousing turning business information into business opportunity |
| title_full | Exploration warehousing turning business information into business opportunity W. H. Inmon ; R. H. Terdeman ; Claudia Imhoff |
| title_fullStr | Exploration warehousing turning business information into business opportunity W. H. Inmon ; R. H. Terdeman ; Claudia Imhoff |
| title_full_unstemmed | Exploration warehousing turning business information into business opportunity W. H. Inmon ; R. H. Terdeman ; Claudia Imhoff |
| title_short | Exploration warehousing |
| title_sort | exploration warehousing turning business information into business opportunity |
| title_sub | turning business information into business opportunity |
| topic | Data mining Data warehouse gtt Data-analyse gtt Informatiemanagement gtt Management informatiesystemen gtt Management information systems Marketing gtt Consumer behavior Data warehousing Database management Marketing Data-Warehouse-Konzept (DE-588)4406462-7 gnd Management (DE-588)4037278-9 gnd |
| topic_facet | Data mining Data warehouse Data-analyse Informatiemanagement Management informatiesystemen Management information systems Marketing Consumer behavior Data warehousing Database management Data-Warehouse-Konzept Management |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009163221&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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