Business Intelligence: The Savvy Manager's GuideBusiness Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts.
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Contents
| 1 | |
| 15 | |
| 33 | |
Chapter 4
Developing Your Business Intelligence Roadmap | 53 |
Chapter 5
The Business Intelligence Environment | 61 |
Chapter 6
Business Processes and Information Flow | 77 |
Chapter 7
Data Requirements Analysis | 91 |
Chapter 8
Data Warehouses and the Technical Business Intelligence Architecture | 105 |
Chapter 14
HighPerformance Business Intelligence | 211 |
Chapter 15 Deriving Insight from Collections of Data | 237 |
Chapter 16
Creating Business Value through LocationBased Intelligence | 253 |
Chapter 17
Knowledge Discovery and Data Mining for Predictive Analytics | 271 |
Chapter 18
Repurposing Publicly Available Data | 287 |
Chapter 19
Knowledge Delivery | 303 |
Chapter 20
Emerging Business Intelligence Trends | 319 |
Chapter 21
Quick Reference Guide | 333 |
Chapter 9
Metadata | 119 |
Chapter 11
Business Rules | 147 |
Chapter 12
Data Quality | 165 |
Chapter 13
Data Integration | 189 |
| 355 | |
| 357 | |