Business Intelligence: The Savvy Manager's Guide, Second Edition
- 7h 19m
- David Loshin
- Elsevier Science and Technology Books, Inc.
- 2013
Following the footsteps of the first edition, the second edition of Business Intelligence is a full overview of what comprises business intelligence. It is intended to provide an introduction to the concepts to uncomplicate the learning process when implementing a business intelligence program.
Over a relatively long lifetime (7 years), the current edition of book has received numerous accolades from across the industry for its straightforward introduction to both business and technical aspects of business intelligence.
As an author, David Loshin has a distinct ability to translate challenging topics into a framework that is easily digestible by managers, business analysts, and technologists alike. In addition, his material has developed a following (such as the recent Master Data Management book) among practitioners and key figures in the industry (both analysts and vendors) and that magnifies our ability to convey the value of this book.
- 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.
About the Author
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.
In this Book
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Foreword
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Business Intelligence and Information Exploitation
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The Value of Business Intelligence
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Planning for Success
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Developing Your Business Intelligence Roadmap
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The Business Intelligence Environment
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Business Processes and Information Flow
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Data Requirements Analysis
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Data Warehouses and the Technical Business Intelligence Architecture
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Metadata
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Data Profiling
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Business Rules
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Data Quality
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Data Integration
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High-Performance Business Intelligence
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Deriving Insight from Collections of Data
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Creating Business Value Through Location-Based Intelligence
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Knowledge Discovery and Data Mining for Predictive Analytics
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Repurposing Publicly Available Data
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Knowledge Delivery
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Emerging Business Intelligence Trends
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Quick Reference Guide
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Bibliography
