Business Intelligence (eBook)

The Savvy Manager's Guide

David Loshin (Autor)

eBook Download: EPUB

2003 | 1. Auflage
270 Seiten
Elsevier Science (Verlag)
978-0-08-050054-6 (ISBN)

Infos

Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. The book contains a quick reference guide for business intelligence terminology. Business Intelligence is part of Morgan Kaufmann's Savvy Manager's Guide series.

* Provides clear explanations without technical jargon, followed by in-depth descriptions.
* Articulates the business value of new technology, while providing relevant introductory technical background.
* Contains a handy quick-reference to technologies and terminologies.
* Guides managers through developing, administering, or simply understanding business intelligence technology.
* Bridges the business-technical gap.
* Is Web enhanced. Companion sites to the book and series provide value-added information, links, discussions, and more.

Inhalt

Front Cover 1
Business Intelligence 4
Copyright Page 5
Contents 6
Foreword 12
Preface 14
Chapter 1. Business Intelligence and Information Exploitation 22
Why Business Intelligence? 23
The Information Asset 24
Exploiting Information 25
Business Intelligence and Program Success 26
What Is Business Intelligence? 27
Actionable Knowledge 29
Selected Readings 29
Chapter 2. The Value of Business Intelligence 32
The Information Asset and Data Valuation 33
Actionable Knowledge—Return on Investment 37
Business Intelligence Applications 38
The Intelligence Dashboard 45
Business Intelligence Adds Value 46
Chapter 3. Planning for Success 48
Initiating a Program 49
Business/Information Technology Partnership 52
Business Intelligence Success Factors 54
Team Building 59
Strategic versus Tactical Planning 61
Summary 63
Chapter 4. The Business Intelligence Environment 66
The Business Case 68
The Business Intelligence Process 68
System Infrastructure 70
Information Access, Delivery, and Analysis 73
Services 76
Management Issues 78
Seek to Learn More 79
Chapter 5. Business Models and Information Flow 80
The Business Case 81
Information Processing and Information Flow 84
The Information Flow Model 87
Usage in Practice 89
Modeling Frameworks 91
Management Issues 93
Learning More 94
Chapter 6. Data Warehouses, Online Analytical Processing, and Metadata 96
The Business Case 96
Data Models 97
The Data Warehouse 103
The Data Mart 103
Online Analytical Processing 104
Metadata 105
Management Issues 109
Summary 110
Chapter 7. Business Rules 112
The Business Case 113
The Business Rules Approach 116
What Is a Business Rule? 117
What Is a Business Rule System? 121
Sources of Business Rules 124
Management Issues 127
To Learn More 128
Chapter 8. Data Profiling 130
The Business Case 130
Data Profiling Activities 131
Data Model Inference 132
Attribute Analysis 134
Relationship Analysis 141
Management Issues 146
The Last Word 146
Chapter 9. Data Quality and Information Compliance 148
The Business Case 149
More Than Just Names and Addresses 149
Types of Errors 152
Data Cleansing 156
Business Rule–Based Information Compliance 161
Management Issues 164
To Learn More 165
Chapter 10. Information Integration 166
The Business Case 166
ETL: Extract, Transform, Load 167
Enterprise Application Integration and Web Services 171
Record Linkage and Consolidation 173
Management Issues 179
To Learn More 181
Chapter 11. The Value of Parallelism 182
The Business Case 183
Parallelism and Granularity 184
Parallel Processing Systems 187
Dependence 190
Parallelism and Business Intelligence 192
Management Issues 194
To Learn More 195
Chapter 12. Alternate Information Contexts 196
The Business Case 196
Psychographics and Demographics 197
Geographic Data 198
Web Behavior Intelligence 203
Management Issues 205
To Learn More 206
Chapter 13. Data Enhancement 208
The Business Case 209
Types of Data Enhancement 211
Incremental Enhancements 213
Batch Enhancements 214
Standardization 215
Example: Address Standardization 218
Enhancement Methodologies 220
Management Issues 224
To Learn More 224
Chapter 14. Knowledge Discovery and Data Mining 226
The Business Case 227
Data Mining and the Data Warehouse 227
The Virtuous Cycle 228
Directed versus Undirected Knowledge Discovery 229
Six Basic Tasks of Data Mining 230
Data Mining Techniques 232
Management Issues 237
To Learn More 239
Chapter 15. Using Publicly Available Data 240
The Business Case 241
Management Issues 241
Public Data 242
Data Resources 246
Semistructured Data 247
The Myth of Privacy 248
To Learn More 252
Chapter 16. Quick Reference Guide 254
Business Analytics 254
Business Intelligence 255
Business Rules 256
Data Cleansing 257
Data Enhancement 259
Data Integration 260
Data Mart 261
Data Mining 261
Data Model 262
Data Profiling 263
Data Quality 264
Data Warehouse 265
Dimensional Modeling 266
Extract/Transform/Load 267
Geographical Information System 268
Metadata 269
Online Analytical Processing 270
Parallelism 271
Query and Reporting 272
Index 274

Produkt-Details

• Erscheint lt. Verlag: 10.7.2003
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Netzwerke ► Mail Server
• Themenwelt: Informatik ► Office Programme ► Outlook
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Informatik ► Weitere Themen ► Hardware
• Themenwelt: Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
• Themenwelt: Technik ► Maschinenbau
• Themenwelt: Wirtschaft
• ISBN-10: 0-08-050054-4 / 0080500544
• ISBN-13: 978-0-08-050054-6 / 9780080500546