Business Intelligence: The Savvy Manager's Guide / Edition 2by David Loshin
Pub. Date: 10/29/2012
Publisher: Elsevier Science
Business 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,… See more details below
Business 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.
- Guides managers through developing, administering, or simply understanding business intelligence technology
- Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization’s data into actionable knowledge
- Contains a handy, quick-reference to technologies and terminology.
- Elsevier Science
- Publication date:
- Morgan Kaufmann Series on Business Intelligence Series
- Product dimensions:
- 6.00(w) x 8.90(h) x 1.10(d)
Table of Contents
1. Business Intelligence - An Introduction
2. Value Drivers
3. Planning for Success
4. Developing a Business Intelligence Roadmap
5. The Business Intelligence Environment
6. Business Models and Information Flow
7. Data Requirements Analysis
8. Data Warehouses and the Technical BI Architecture
9. Business Metadata
10. Data Profiling
11. Business Rules
12. Data Quality
13. Data Integration
14. High Performance BI
15. Alternate Information Contexts
16. Location Intelligence and Spatial analysis?
17. Knowledge Discovery, Data Mining, and Analytics
18. Using Publicly Available Data
19. Knowledge Delivery
20. New and Emerging Techniques
21. Quick Reference
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