
Business Intelligence
The Savvy Manager's Guide
David Loshin(Author)
Morgan Kaufmann (Publisher)
2nd Edition
Published on 3. December 2012
Book
Paperback/Softback
400 pages
978-0-12-385889-4 (ISBN)
Description
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.
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.
More details
Series
Edition
2nd edition
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
IT managers, analysts, consultants, MIS students, data managers
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 228 mm
Width: 151 mm
Thickness: 32 mm
Weight
718 gr
ISBN-13
978-0-12-385889-4 (9780123858894)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
11/2012
2nd Edition
Morgan Kaufmann
€42.95
Available for download
Previous edition

Book
07/2003
Morgan Kaufmann
€58.37
Article exhausted; check for reprint
Person
David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including "Master Data Management" (2008) and "Business Intelligence - The Savvy Manager's Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.
Content
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