Front Cover -- Business Intelligence -- Copyright -- Contents -- Preface -- Introduction -- What This Book Is -- Why You Should Be Reading This Book -- Organization of the Book -- Our Approach to Knowledge Transfer -- Contact Me -- Acknowledgements -- Foreword -- Chapter 1 - Business Intelligence and Information Exploitation -- Improving the Decision-Making Process -- Why a Business Intelligence Program? -- Taking Advantage of the Information Asset -- Business Intelligence and Program Success -- Business Intelligence Defined -- Actionable Intelligence -- The Analytics Spectrum -- Taming the Information Explosion -- Considerations -- Continuing Your Business Intelligence Education -- Endnotes -- Chapter 2 - The Value of Business Intelligence -- Value Drivers and Information Use -- Performance Metrics and Key Performance Indicators -- Using Actionable Knowledge -- Horizontal Use Cases for Business Intelligence -- Vertical Use Cases for Business Intelligence -- Business Intelligence Adds Value -- Chapter 3 - Planning for Success -- Introduction -- Organizational Preparedness for Business Intelligence and Analytics -- Initial Steps in Starting a Business Intelligence Program -- Bridging the Gaps Between Information Technology and the Business Users -- Knowing the Different Types of Business Intelligence Users -- Business Intelligence Success Factors: A Deeper Dive -- More on Building Your Team -- Strategic Versus Tactical Planning -- Summary -- Endnotes -- Chapter 4 - Developing Your Business Intelligence Roadmap -- A Business Intelligence Strategy: Vision to Blueprint -- Review: The Business Intelligence and Analytics Spectrum -- The Business Intelligence Roadmap: Example Phasing -- Planning the Business Intelligence Plan -- Chapter 5 - The Business Intelligence Environment -- Aspects of a Business Intelligence and Analytics Platform and Strategy.

The Organizational Business Intelligence Framework -- Services and System Evolution -- Management Issues -- Additional Considerations -- Chapter 6 - Business Processes and Information Flow -- Analytical Information Needs and Information Flows -- Information Processing and Information Flow -- The Information Flow Model -- Practical Use -- Modeling Frameworks -- Management Issues -- Deeper Dives -- Chapter 7 - Data Requirements Analysis -- Introduction -- Business Uses of Information -- Metrics: Facts, Qualifiers, and Models -- What is Data Requirements Analysis? -- Assessing Suitability -- Summary -- Chapter 8 - Data Warehouses and the Technical Business Intelligence Architecture -- Introduction -- Data Modeling and Analytics -- The Data Warehouse -- Analytical Platforms -- Operational Data Stores -- Management -- Do You Really Need a Data Warehouse? -- Summary -- Chapter 9 - Metadata -- What is Metadata? -- The Origin and Utility of Metadata -- Types of Metadata -- Semantic Metadata Processes for Business Analytics -- Further Considerations -- Using Metadata Tools -- Chapter 10 - Data Profiling -- Establishing Usability of Candidate Data Sources -- Data Profiling Activities -- Data Model Inference -- Attribute Analysis -- Relationship Analysis -- Management Issues -- Summary -- Chapter 11 - Business Rules -- The Value Proposition of Business Rules -- The Business Rules Approach -- The Definition of a Business Rule -- Business Rule Systems -- Sources of Business Rules -- Management Issues -- To Learn More -- Endnotes -- Chapter 12 - Data Quality -- Good Decisions Rely on Quality Information -- The Virtuous Cycle of Data Quality -- Types of Data Flaws -- Business Impacts of Data Flaws -- Dimensions of Data Quality -- Data Quality Assessment -- Data Quality Rules -- Continuous Data Quality Monitoring and Improvement.

Considerations Regarding Data Quality for Business Analytics -- Data Cleansing -- Summary -- Chapter 13 - Data Integration -- Improving Data Accessibility -- Extraction/Transformation/Loading -- Data Latency and Data Synchrony -- Data Replication and Change Data Capture -- Data Federation and Virtualization -- Data Integration and Cloud Computing -- Information Protection -- More on Merge/Purge and Record Consolidation -- Thoughts on Data Stewardship and Governance for Integration -- Chapter 14 - High-Performance Business Intelligence -- The Need for Speed -- The Value of Parallelism -- Parallel Processing Systems -- Symmetric Multiprocessing -- Parallelism and Business Intelligence -- Performance Platforms and Analytical Appliances -- Data Layouts and Performance -- MapReduce and Hadoop -- Assessing Architectural Suitability for Application Performance -- Endnote -- Chapter 15 - Deriving Insight from Collections of Data -- Introduction -- Customer Profiles and Customer Behavior -- Customer Lifetime Value -- Demographics, Psychographics, Geographics -- Geographic Data -- Behavior Analysis -- Consideration When Drawing Inferences -- Chapter 16 - Creating Business Value through Location-Based Intelligence -- The Business Value of Location -- Demystifying Geography: Address Versus Location -- Geocoding and Geographic Enhancement -- Fundamentals of Location-Based Intelligence for Operational Uses -- Geographic Data Services -- Challenges and Considerations -- Where to Next? -- Chapter 17 - Knowledge Discovery and Data Mining for Predictive Analytics -- Business Drivers -- Data Mining, Data Warehousing, Big Data -- The Virtuous Cycle -- Directed Versus Undirected Knowledge Discovery -- Six Basic Data Mining Activities -- Data Mining Techniques -- Technology Expectations -- Summary -- Chapter 18 - Repurposing Publicly Available Data.

Using Publicly Available Data: Some Challenges -- Public Data -- Data Resources -- The Myth of Privacy -- Information Protection and Privacy Concerns -- Finding and Using Open Data Sets -- Chapter 19 - Knowledge Delivery -- Review: The Business Intelligence User Types -- Standard Reports -- Interactive Analysis and Ad Hoc Querying -- Parameterized Reports and Self-Service Reporting -- Dimensional Analysis -- Alerts/Notifications -- Visualization: Charts, Graphs, Widgets -- Scorecards and Dashboards -- Geographic Visualization -- Integrated Analytics -- Considerations: Optimizing the Presentation for the Right Message -- Chapter 20 - Emerging Business Intelligence Trends -- Search as a Business Intelligence Technique -- Text Analysis -- Entity Recognition and Entity Extraction -- Sentiment Analysis -- Mobile Business Intelligence -- Event Stream Processing -- Embedded Predictive Analytic Models -- Big Data Analytics -- Considerations -- Endnote -- Chapter 21 - Quick Reference Guide -- Analytics Appliance -- Business Analytics -- Business Intelligence -- Business Rules -- Dashboards and Scorecards -- Data Cleansing -- Data Enhancement -- Data Governance -- Data Integration -- Data Mart -- Data Mining -- Data Modeling -- Data Profiling -- Data Quality -- Data Warehouse -- Dimensional Modeling -- ELT (Extract, Load, Transform) -- ETL (Extract, Transform, Load) -- Event Stream Processing -- Hadoop and MapReduce -- Location Intelligence and Geographic Analytics -- Metadata and Metadata Management -- Mobile Business Intelligence -- Online Analytical Processing (OLAP) -- Parallel and Distributed Computing -- Query and Reporting -- Endnotes -- Bibliography -- Index.