Business Intelligence

Informationen zum Autor 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. Klappentext The term business intelligence (BI) refers to a set of business processes for collecting and analyzing mostly internal, structured data and business processes to support better business decision-making. This includes the technology used in these processes and the information obtained from these processes. While BI was already maturing at the time of the publication of the first edition in 2003, there have been significant changes in the perception, acceptance, integration, and technologies associated with BI. The first edition of this book had a robust shelf-life, and this revision not only brings the existing content up-to-date, it also provides insight into areas that have emerged as critical aspects of BI within the past few years. This revision keeps pace with the changes in best practices, tools, methods and processes used to transform an organization s data into actionable knowledge and provides the ability to anticipate additional concepts that will keep the reader ahead of the curve in this critical area. The first edition of the book sold ~7,500 copies and sales of this new edition should exceed that thanks to the heavy revision (~30%) through a consistent marketing effort, increased interest in BI practices, and the author s strong brand recognition in the target market. Zusammenfassung Provides an introduction to the concepts to uncomplicate the learning process when implementing a business intelligence program. This book offers an introduction to both business and technical aspects of business intelligence. Inhaltsverzeichnis 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 ...

Autorentext
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.

Klappentext

The term business intelligence (BI) refers to a set of business processes for collecting and analyzing mostly internal, structured data and business processes to support better business decision-making. This includes the technology used in these processes and the information obtained from these processes. While BI was already maturing at the time of the publication of the first edition in 2003, there have been significant changes in the perception, acceptance, integration, and technologies associated with BI. The first edition of this book had a robust shelf-life, and this revision not only brings the existing content up-to-date, it also provides insight into areas that have emerged as critical aspects of BI within the past few years. This revision keeps pace with the changes in best practices, tools, methods and processes used to transform an organization s data into actionable knowledge and provides the ability to anticipate additional concepts that will keep the reader ahead of the curve in this critical area. The first edition of the book sold ~7,500 copies and sales of this new edition should exceed that thanks to the heavy revision (~30%) through a consistent marketing effort, increased interest in BI practices, and the author s strong brand recognition in the target market.

Zusammenfassung
Provides an introduction to the concepts to uncomplicate the learning process when implementing a business intelligence program. This book offers an introduction to both business and technical aspects of business intelligence.

Inhalt

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