Business Intelligence Guidebook : From Data Integration to Analytics.

Front Cover -- Business Intelligence Guidebook -- Copyright -- Contents -- Foreword -- How to Use This Book -- CHAPTER SUMMARIES -- Acknowledgments -- PART I - CONCEPTS AND CONTEXT -- CHAPTER 1 - THE BUSINESS DEMAND FOR DATA, INFORMATION, AND ANALYTICS -- JUST ONE WORD: DATA -- WELCOME TO THE DATA DELUGE -- TAMING THE ANALYTICS DELUGE -- TOO MUCH DATA, TOO LITTLE INFORMATION -- DATA CAPTURE VERSUS INFORMATION ANALYSIS -- THE FIVE CS OF DATA -- COMMON TERMINOLOGY FROM OUR PERSPECTIVE -- REFERENCES -- PART II - BUSINESS AND TECHNICAL NEEDS -- CHAPTER 2 - JUSTIFYING BI: BUILDING THE BUSINESS AND TECHNICAL CASE -- WHY JUSTIFICATION IS NEEDED -- BUILDING THE BUSINESS CASE -- BUILDING THE TECHNICAL CASE -- ASSESSING READINESS -- CREATING A BI ROAD MAP -- DEVELOPING SCOPE, PRELIMINARY PLAN, AND BUDGET -- OBTAINING APPROVAL -- COMMON JUSTIFICATION PITFALLS -- CHAPTER 3 - DEFINING REQUIREMENTS-BUSINESS, DATA AND QUALITY -- THE PURPOSE OF DEFINING REQUIREMENTS -- GOALS -- DELIVERABLES -- ROLES -- DEFINING REQUIREMENTS WORKFLOW -- INTERVIEWING -- DOCUMENTING REQUIREMENTS -- PART III - ARCHITECTURALFRAMEWORK -- CHAPTER 4 - ARCHITECTURE FRAMEWORK -- THE NEED FOR ARCHITECTURAL BLUEPRINTS -- ARCHITECTURAL FRAMEWORK -- INFORMATION ARCHITECTURE -- DATA ARCHITECTURE -- TECHNICAL ARCHITECTURE -- PRODUCT ARCHITECTURE -- METADATA -- SECURITY AND PRIVACY -- AVOIDING ACCIDENTS WITH ARCHITECTURAL PLANNING -- DO NOT OBSESS OVER THE ARCHITECTURE -- CHAPTER 5 - INFORMATION ARCHITECTURE -- THE PURPOSE OF AN INFORMATION ARCHITECTURE -- DATA INTEGRATION FRAMEWORK -- DIF INFORMATION ARCHITECTURE -- OPERATIONAL BI VERSUS ANALYTICAL BI -- MASTER DATA MANAGEMENT -- CHAPTER 6 - DATA ARCHITECTURE -- THE PURPOSE OF A DATA ARCHITECTURE -- HISTORY -- DATA ARCHITECTURAL CHOICES -- DATA INTEGRATION WORKFLOW -- DATA WORKFLOW-RISE OF EDW AGAIN -- OPERATIONAL DATA STORE -- REFERENCES.

CHAPTER 7 - TECHNOLOGY &amp -- PRODUCT ARCHITECTURES -- WHERE ARE THE PRODUCT AND VENDOR NAMES? -- EVOLUTION NOT REVOLUTION -- TECHNOLOGY ARCHITECTURE -- PRODUCT AND TECHNOLOGY EVALUATIONS -- PART IV - DATA DESIGN -- CHAPTER 8 - FOUNDATIONAL DATA MODELING -- THE PURPOSE OF DATA MODELING -- DEFINITIONS-THE DIFFERENCE BETWEEN A DATA MODEL AND DATA MODELING -- THREE LEVELS OF DATA MODELS -- DATA MODELING WORKFLOW -- WHERE DATA MODELS ARE USED -- ENTITY-RELATIONSHIP (ER) MODELING OVERVIEW -- NORMALIZATION -- LIMITS AND PURPOSE OF NORMALIZATION -- CHAPTER 9 - DIMENSIONAL MODELING -- INTRODUCTION TO DIMENSIONAL MODELING -- HIGH-LEVEL VIEW OF A DIMENSIONAL MODEL -- FACTS -- DIMENSIONS -- SCHEMAS -- ENTITY RELATIONSHIP VERSUS DIMENSIONAL MODELING -- PURPOSE OF DIMENSIONAL MODELING -- FACT TABLES -- ACHIEVING CONSISTENCY -- ADVANCED DIMENSIONS AND FACTS -- DIMENSIONAL MODELING RECAP -- CHAPTER 10 - BUSINESS INTELLIGENCE DIMENSIONAL MODELING -- INTRODUCTION -- HIERARCHIES -- OUTRIGGER TABLES -- SLOWLY CHANGING DIMENSIONS -- CAUSAL DIMENSION -- MULTIVALUED DIMENSIONS -- JUNK DIMENSIONS -- VALUE BAND REPORTING -- HETEROGENEOUS PRODUCTS -- ALTERNATE DIMENSIONS -- TOO FEW OR TOO MANY DIMENSIONS -- PART V - DATA INTEGRATIONDESIGN -- CHAPTER 11 - DATA INTEGRATION DESIGN AND DEVELOPMENT -- GETTING STARTED WITH DATA INTEGRATION -- DATA INTEGRATION ARCHITECTURE -- DATA INTEGRATION REQUIREMENTS -- DATA INTEGRATION DESIGN -- DATA INTEGRATION STANDARDS -- LOADING HISTORICAL DATA -- DATA INTEGRATION PROTOTYPING -- DATA INTEGRATION TESTING -- CHAPTER 12 - DATA INTEGRATION PROCESSES -- INTRODUCTION: MANUAL CODING VERSUS TOOL-BASED DATA INTEGRATION -- DATA INTEGRATION SERVICES -- PART VI - BUSINESSINTELLIGENCEDESIGN -- CHAPTER 13 - BUSINESS INTELLIGENCE APPLICATIONS -- BI CONTENT SPECIFICATIONS -- REVISE BI APPLICATIONS LIST -- BI PERSONAS -- BI DESIGN LAYOUT-BEST PRACTICES.

DATA DESIGN FOR SELF-SERVICE BI -- MATCHING TYPES OF ANALYSIS TO VISUALIZATIONS -- CHAPTER 14 - BI DESIGN AND DEVELOPMENT -- BI DESIGN -- BI DEVELOPMENT -- BI APPLICATION TESTING -- CHAPTER 15 - ADVANCED ANALYTICS -- ADVANCED ANALYTICS OVERVIEW AND BACKGROUND -- PREDICTIVE ANALYTICS AND DATA MINING -- ANALYTICAL SANDBOXES AND HUBS -- BIG DATA ANALYTICS -- DATA VISUALIZATION -- REFERENCE -- CHAPTER 16 - DATA SHADOW SYSTEMS -- THE DATA SHADOW PROBLEM -- ARE THERE DATA SHADOW SYSTEMS IN YOUR ORGANIZATION? -- WHAT KIND OF DATA SHADOW SYSTEMS DO YOU HAVE? -- DATA SHADOW SYSTEM TRIAGE -- THE EVOLUTION OF DATA SHADOW SYSTEMS IN AN ORGANIZATION -- DAMAGES CAUSED BY DATA SHADOW SYSTEMS -- THE BENEFITS OF DATA SHADOW SYSTEMS -- MOVING BEYOND DATA SHADOW SYSTEMS -- MISGUIDED ATTEMPTS TO REPLACE DATA SHADOW SYSTEMS -- RENOVATING DATA SHADOW SYSTEMS -- PART VII - ORGANIZATION -- CHAPTER 17 - PEOPLE, PROCESS AND POLITICS -- THE TECHNOLOGY TRAP -- THE BUSINESS AND IT RELATIONSHIP -- ROLES AND RESPONSIBILITIES -- BUILDING THE BI TEAM -- TRAINING -- DATA GOVERNANCE -- CHAPTER 18 - PROJECT MANAGEMENT -- THE ROLE OF PROJECT MANAGEMENT -- ESTABLISHING A BI PROGRAM -- BI ASSESSMENT -- WORK BREAKDOWN STRUCTURE -- BI ARCHITECTURAL PLAN -- BI PROJECTS ARE DIFFERENT -- PROJECT METHODOLOGIES -- BI PROJECT PHASES -- BI PROJECT SCHEDULE -- CHAPTER 19 - CENTERS OF EXCELLENCE -- THE PURPOSE OF CENTERS OF EXCELLENCE -- BI COE -- DATA INTEGRATION CENTER OF EXCELLENCE -- ENABLING A DATA-DRIVEN ENTERPRISE -- REFERENCE -- Index.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.