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Business Intelligence
The Savvy Manager's Guide
This completely updated best seller is a must read for anyone who wants an understanding of business intelligence, business management disciplines, data warehousing, and how all of the pieces work together
David Loshin (Author)
9780123858894, Elsevier Science
Paperback / softback, published 3 December 2012
400 pages
22.9 x 15.1 x 2.5 cm, 0.77 kg
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.
1. Business Intelligence – An Introduction2. Value Drivers3. Planning for Success4. Developing a Business Intelligence Roadmap5. The Business Intelligence Environment6. Business Models and Information Flow7. Data Requirements Analysis8. Data Warehouses and the Technical BI Architecture9. Business Metadata10. Data Profiling11. Business Rules12. Data Quality13. Data Integration14. High Performance BI15. Alternate Information Contexts16. Location Intelligence and Spatial analysis?17. Knowledge Discovery, Data Mining, and Analytics18. Using Publicly Available Data19. Knowledge Delivery20. New and Emerging Techniques 21. Quick Reference
Subject Areas: Computer science [UY], Enterprise software [UFL], Management of specific areas [KJMV]
