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
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
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.