Business Intelligence: The Savvy Manager's Guide (The Morgan Kaufmann Series on Business Intelligence)

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. 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 Content: Front Matter , Page iii Copyright , Page iv Preface , Pages xix-xxviii Foreword , Pages xxix-xxx , John A. Zachman Chapter 1 - Business Intelligence and Information Exploitation , Pages 1-13 , David Loshin Chapter 2 - The Value of Business Intelligence , Pages 15-32 , David Loshin Chapter 3 - Planning for Success , Pages 33-52 , David Loshin Chapter 4 - Developing Your Business Intelligence Roadmap , Pages 53-59 , David Loshin Chapter 5 - The Business Intelligence Environment , Pages 61-76 , David Loshin Chapter 6 - Business Processes and Information Flow , Pages 77-90 , David Loshin Chapter 7 - Data Requirements Analysis , Pages 91-104 , David Loshin Chapter 8 - Data Warehouses and the Technical Business Intelligence Architecture , Pages 105-118 , David Loshin Chapter 9 - Metadata , Pages 119-130 , David Loshin Chapter 10 - Data Profiling , Pages 131-146 , David Loshin Chapter 11 - Business Rules , Pages 147-163 , David Loshin Chapter 12 - Data Quality , Pages 165-187 , David Loshin Chapter 13 - Data Integration , Pages 189-210 , David Loshin Chapter 14 - High-Performance Business Intelligence , Pages 211-235 , David Loshin Chapter 15 - Deriving Insight from Collections of Data , Pages 237-251 , David Loshin Chapter 16 - Creating Business Value through Location-Based Intelligence , Pages 253-269 , David Loshin Chapter 17 - Knowledge Discovery and Data Mining for Predictive Analytics , Pages 271-286 , David Loshin Chapter 18 - Repurposing Publicly Available Data , Pages 287-301 , David Loshin Chapter 19 - Knowledge Delivery , Pages 303-317 , David Loshin Chapter 20 - Emerging Business Intelligence Trends , Pages 319-331 , David Loshin Chapter 21 - Quick Reference Guide , Pages 333-353 , David Loshin Bibliography , Page 355 Index , Pages 357-370 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 technologyKeeps pace with the changes in best practices, tools, methods and processes used to transform an organization's data into actionable knowledgeContains a handy, quick-reference to technologies and terminology "[This book] ... offers a complete overview of business processes for collecting, sharing, and analyzing data to support better business decision-making. Providing a straight forward introduction to core concepts, with clear explanations and in-depth descriptions, this book guides managers through the process of developing administering, and implementing a program for business intelligence and analytics"--Back cover