Business intelligence guidebook : from data integration to analytics

Business intelligence guidebook from data integration to analytics

Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Bus...

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Detalles Bibliográficos
Otros Autores: Sherman, Rick, author (author), Imhoff, Claudia, author of introduction, etc (author of introduction etc)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Waltham, Massachusetts : Morgan Kaufmann 2015.
Edición:1st edition
Materias:
Business intelligence.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628635106719
Tabla de Contenidos:
  • 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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