Business Intelligence: The Savvy Manager's GuideBusiness 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. |
Contents
| 1 | |
| 11 | |
| 27 | |
Chapter 4 The Business Intelligence Environment | 45 |
Chapter 5 Business Models and Information Flow | 59 |
Chapter 6 Data Warehouses Online Analytical Processing and Metadata | 75 |
Chapter 7 Business Rules | 91 |
Chapter 8 Data Profiling | 109 |
Chapter 10 Information Integration | 145 |
Chapter 11 The Value of Parallelism | 161 |
Chapter 12 Alternate Information Contexts | 175 |
Chapter 13 Data Enhancement | 187 |
Chapter 14 Knowledge Discovery and Data Mining | 205 |
Chapter 15 Using Publicly Available Data | 219 |
Chapter 16 Quick Reference Guide | 233 |
| 253 | |
Other editions - View all
Business Intelligence: The Savvy Manager's Guide, Getting Onboard with ... David Loshin Limited preview - 2003 |
Common terms and phrases
actionable knowledge aggregated analysis analytical processing associated attribute behavior business intelligence business process business rules approach business rules system Chapter clustering collection column components constraints context data cleansing data consumer data domains data enhancement data instances data mart data mining data model data profiling data quality data sets data sources data type data values data warehouse data warehousing database defined demographic describe determine dimensions domain Enterprise application integration entities entity-relationship model environment evaluating example expectations exploit extract foreign key framework geographic identify implementation individual inference input integration interaction knowledge discovery large number look marketing match mation metadata multiple null OLAP Online Analytical Processing operational organization parallelism patterns performance processing stages psychographic queries records refer relationship repository sequence specific standard strategy structure success telephone number tion transaction transformation