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Business intelligence guidebook: from data integration to analytics

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Bibliographische Detailangaben
1. Verfasser:	Sherman, Rick (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Amsterdam Elsevier 2015
Schlagworte:	Business Intelligence
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	XXIII, 525 S.
ISBN:	9780124114616

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Datensatz im Suchindex

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adam_text	Contents Foreword .............................................................................................................................................xvii How to Use This Book .........................................................................................................................xix Acknowledgments .............................................................................................................................xxiii PART I CONCEPTS AND CONTEXT ____________________________ CHAPTER 1 The Business Demand for Data, Information, and Analytics ..............3 Just One Word: Data ....................................................................................................3 Welcome to lhe Data Deluge .......................................................................................4 Data Volume, Variety, and Velocity ........................................................................4 Taming the Analytics Deluge ......................................................................................6 The Importance of Analytics ..................................................................................7 Analytics Challenges .............................................................................................7 Analytics Strategy ..................................................................................................8 Too Much Data, Too Little Information ......................................................................8 The Difference between Data and Information ......................................................8 The Role of BI in Creating Actionable Information ............................................10 The Information Backbone ..................................................................................10 Data Capture versus Information Analysis ...............................................................10 The Roles of BI and Operational Systems ...........................................................11 Operational BI Blurs the Lines ............................................................................ 1 1 Where Data Warehousing Fits in ......................................................................... 1 1 The Five Cs of Data ..................................................................................................12 Common Terminology from Our Perspective ...........................................................14 References .................................................................................................................19 PART II BUSINESS AND TECHNICAL NEEDS _________________________ CHAPTER 2 Justifying BI: Building the Business and Technical Case ................23 Why Justification is Needed ......................................................................................23 Building the Business Case .......................................................................................24 Review Organization s Business Initiatives and Processes .................................25 Solicit ВІ Sponsorship .........................................................................................25 Enlist BI Stakeholders ..........................................................................................26 Identify Business Processes Affected by BI ........................................................26 Document Business Benefits ................................................................................27 Determine Business Value (Tangible Benefits) ....................................................27 vi CONTENTS 28 Building the Technical Case ...................................................................................... Technology and Product Short Lists .................................................................... 28 Convincing Business People ................................................................................ 3 Convincing the Technologists .............................................................................. 31 Assessing Readiness .................................................................................................. 3 Data and Data Quality .......................................................................................... 32 Expertise and Experience ..................................................................................... 33 Organizational and Cultural Change .................................................................... 34 Financial and Resource Commitment ..................................................................34 Creating a BI Road Map ........................................................................................... 35 Developing Scope, Preliminary Plan, and Budget ....................................................35 Project Scope .......................................................................................................36 Project Plan ..........................................................................................................36 Project Budget ......................................................................................................37 Calculating Benefits and ROI ..............................................................................39 Obfaining Approval ...................................................................................................40 Common Justification Pitfalls ...................................................................................40 Overzealous Business Sponsor ............................................................................41 CIO is Sole Sponsor .............................................................................................41 Intangible or Too High-Level Benefits .................................................................41 Confusion Between BI Technology and Business Value .....................................41 CHAPTER 3 Defining Requirements—Business, Data and Quality .....................43 The Purpoee of Defining Requirements ....................................................................43 Goals .........................................................................................................................44 Deliverable* ...............................................................................................................45 Roles ..........................................................................................................................47 BI Team Participants ............................................................................................47 Business Participants ...........................................................................................48 Other IT Participants ............................................................................................49 Defining Requirements Workflow .............................................................................49 Business Requirements ........................................................................................49 Data (and Data Quality) Requirements ................................................................51 Functional Requirements .....................................................................................52 Regulatory/Compliance Requirements ................................................................53 Technical Requirements .......................................................................................54 Reverse Engineering (When Necessary) ..............................................................54 Putting It All Together ..........................................................................................55 Prioritizing Requirements ............................................................... 55 Interviewing ..................................................................... 56 Preparation for Interviews .............................................. 57 CONTENTS vii Conducting the Interviews ...................................................................................58 Reviewing Interview Content ...............................................................................58 Interview Follow-ups ...........................................................................................59 Documenting Requirements ......................................................................................60 PART III ARCHITECTURAL FRAMEWORK ____________________________ CHAPTER 4 Architecture Framework ..............................................................65 The Need for Architectural Blueprints ......................................................................65 Architectural Framework ..........................................................................................66 Information Architecture ...........................................................................................67 Data Architecture ......................................................................................................68 The Rise of the Enterprise Data Warehouse ........................................................68 Data Warehousing Replaces the Data Warehouse ................................................69 Technical Architecture ..............................................................................................72 Business Intelligence ...........................................................................................74 Data Warehouse and BI Data Stores ....................................................................75 Data Integration ...................................................................................................76 Source Systems ....................................................................................................76 BI Technology Keeps Evolving ...........................................................................77 Product Architecture ..................................................................................................78 Metadata ....................................................................................................................78 What is It? ............................................................................................................79 What to do About It ..............................................................................................79 Security and Privacy ..................................................................................................80 Getting Started .....................................................................................................80 Implementing the Plan .........................................................................................81 Avoiding Accidents with Architectural Planning ......................................................81 The Signs of Accidental Architecture Addiction .................................................82 Recovering from an Accidental Architecture .......................................................83 Do Not Obsess over the Architecture ........................................................................83 CHAPTER 5 Information Architecture .............................................................85 The Purpose of an Information Architecture .............................................................85 Data Integration Framework .....................................................................................86 DIF Information Architecture ...................................................................................87 Data Preparation ...................................................................................................88 Data Franchising ..................................................................................................91 Bland Analytics ...................................................................................................95 Data Management ................................................................................................98 Metadata Management .........................................................................................98 viii CONTENTS 100 Operational BI versus Analytical BI ....................................................................... lw Shift All Reporting to the Application-Specific Environment ...........................101 Shift All Reporting to the DW-Based ĐI Environment ......................................102 Blend Application-Specific and DW BI Environments .....................................102 Master Data Management ....................................................................................... 103 Identify the Data ................................................................................................ Find the Problem Areas ...................................................................................... Assess a Solution ............................................................................................... 105 CHAPTER 6 Dstd Architecture .........................·...................................■........■■* The Purpose of a Data Architecture ........................................................................107 History ..................................................................................................................... 108 Prehistory ........................................................................................................... 1°8 In the Beginning .................................................................................................108 Data Warehousing Goes Public ..........................................................................109 The Data Mart .................................................................................................... HO Multiple Data Marts ...........................................................................................112 Operational Data Store (ODS) ...........................................................................113 Federated DWs ...................................................................................................114 BI Accidental Architecture .................................................................................115 Hub-and-Spoke ..................................................................................................116 Data Architectural Choices .....................................................................................118 Data Categories ..................................................................................................119 Selecting a Dau Architecture .............................................................................119 The Same But Different .....................................................................................122 Analytical Dato Architecture (ADA) .................................................................123 Data Integration Workflow ......................................................................................128 Data Integration Workflow — Hub-and-Spoke ....................................................129 Data Workflow of the System of Integration (SOI) ...........................................130 Data Workflow of the System of Analytics (SOA) ............................................133 Data Workflow—Rise of EDW Again .....................................................................136 Operational Data Store ............................................................................................ 137 The Rationale for an ODS ...................................................................... 138 ODS Reexamined ................................................................................. 140 ODS is Dead, Long Live ODS ................................................................ 142 References ......................,..................................... CHAPTER 7 Technology & Product Architectures ..........................................143 Where aie the Product and Vendor Names? ........................................ . .. .1, 143 Evolution Not Revolution ......................................... 144 Technology Platforms ....................................................... ■·—·-.. ^ Enterprise Applications .................................................... 145 CONTENTS ix Data Management..............................................................................................146 Technology Architecture .........................................................................................147 Business Intelligence and Analytics ...................................................................149 Information Access and Data Integration...........................................................151 Databases ...........................................................................................................158 Product and Technology Evaluations ......................................................................165 BI Product Vendors ............................................................................................165 Dazed and Confused ..........................................................................................166 Technology and Product Evaluations .................................................................167 Product Migration ..............................................................................................168 PART IV DATA DESIGN CHAPTER 8 Foundational Data Modeling ......................................................173 The Purpose of Data Modeling ...............................................................................173 Definitions — The Difference Between a Data Model and Data Modeling .............173 Three Levels of Data Models ..................................................................................174 Conceptual Data Model .....................................................................................175 Logical Data Model ...........................................................................................175 Physical Data Model ..........................................................................................176 Data Modeling Workflow ........................................................................................177 Where Data Models Are Used .................................................................................178 Entity-Relationship (ER) Modeling Overview ....................................................... 1 79 ER Building Blocks ...........................................................................................179 Types of Entities and Attributes .........................................................................180 Relationship Cardinality ....................................................................................181 Types of Relationship Models ............................................................................181 Keys ...................................................................................................................187 Referential Integrity ...........................................................................................188 Normalization ..........................................................................................................189 Normalization Levels .........................................................................................190 Normalizing an Entity ........................................................................................190 First Normal Form—INF ..................................................................................190 Second Normal Form — 2NF ..............................................................................191 Third Normal Form—3NF .................................................................................192 ER Model Recap ................................................................................................193 Limits and Purpose of Normalization .....................................................................194 CHAPTER 9 Dimensional Modeling ..............................................................197 Introduction to Dimensional Modeling ...................................................................197 High-Level View of a Dimensional Model .............................................................198 Facts ........................................................................................................................198 CONTENTS Fact Table Keys.................................................................................................. Fact Table Measures ........................................................................................... Types of Facts .................................................................................................... 202 Dimensions .............................................................................................................. Dimension Hierarchy ......................................................................................... 204 Dimension Keys and Surrogate Keys ................................................................. 205 Schemas................................................................................................................... 208 Star Schema ....................................................................................................... 208 Snowflake Schema ............................................................................................. 21° Multidimensional Schema ................................................................................. 211 Multifact Star Models ........................................................................................212 Entity Relationship versus Dimensional Modeling .................................................213 Comparing Approaches ......................................................................................213 Why the Structures Matter .................................................................................215 Purpose of Dimensional Modeling ..........................................................................216 Mapping to a Business Report ...........................................................................217 Mapping to an OLAP Analysis or Spreadsheet .................................................217 Fact Tables ...............................................................................................................218 Achieving Consistency ............................................................................................220 Conforming Dimensions ....................................................................................220 Conforming Facts ...............................................................................................220 Advanced Dimensions and Facts ............................................................................221 Dale (or Calendar) Dimension ...........................................................................221 Time Dimension .................................................................................................225 Date and Tune Dimensions across Time Zones .................................................228 Role Playing Dimensions ...................................................................................229 Degenerative Dimensions ..................................................................................230 Event Tables .......................................................................................................232 Consolidated Fact Tables ...................................................................................233 Dimensional Modeling Recap .................................................................................234 CHAPTER 10 Business Intelligence Dimensional Modeling ..............................237 introduction ..................................................................„.,„,. 237 tu. -.-..ι * пкшшеѕ .................................................................. 2T7 Balanced Hierarchies ..................................................................... 238 Ragged Hierarchies ............................................................................ 240 Unbalanced Hierarchies ....................................................................... 241 Working with Variable-Depth Hierarchies ............................................... 241 Outrigger Tables .............................................................. ΖΖΖΙΖΙΖΖΣΣ.244 Slowly Changing Dimensions .................................................................. 7.Г.245 SCD Type 0: Keep Original ................................... 1Γ.ΙΖΖΖΓ 246 CONTENTS xi SCDTVpe 1: Overwrite Existing Data...............................................................246 SCD Type 2: Create New Row ..........................................................................249 SCD Ту ре 3: Track Changes Using Separate Columns but Overwrite the Rest .......................................................................................251 SCD Type 4: Add Mini-Dimension ...................................................................254 SCD Type 5: Combine Types 4 + 1....................................................................257 SCD Type 6: Combine Types 1 +2 + 3 (=6).....................................................259 SCD Type 7: Use both Types 1 +2....................................................................260 Causal Dimension ...................................................................................................262 Multivalued Dimensions .........................................................................................263 Pick One Value, Ignore Others ...........................................................................264 Extend the Attributes ..........................................................................................264 Bridge Table .......................................................................................................264 Junk Dimensions .....................................................................................................265 Misguided Attempts ...........................................................................................266 Recommended Solution .....................................................................................266 Value Band Reporting .............................................................................................268 Heterogeneous Products ..........................................................................................269 Alternate Dimensions ..............................................................................................270 Hot Swappable Dimension ................................................................................270 Custom Dimension Groups ................................................................................271 Too Few or Too Many Dimensions .........................................................................272 PART V DATA INTEGRATION DESIGN _______________________________ CHAPTER 11 Data Integration Design and Development ..................................275 Getting Started with Data Integration .....................................................................275 Holistic Approach ..............................................................................................275 Incremental and Iterative Approaches ................................................................276 Productive, Efficient Methods ............................................................................277 Data Integration Architecture ..................................................................................277 Data Integration Requirements ...............................................................................280 Prerequisites .......................................................................................................280 Business Requirements ......................................................................................282 Data Sourcing System Requirements .................................................................284 Data Integration Design ..........................................................................................285 Create Stage-Related Conceptual Data Integration Model ................................285 Create Stage-Related Logical Data Integration Model ......................................286 Create Stage-Related Physical Data Integration Mode! .....................................287 Design Stage-Related Source to Target Mappings .............................................288 Design Overall Data Integration Workflow ........................................................289 xii CONTENTS o . . ......290 Data Integralion Standards.............................................................................. For Standards, Adopt a Software Development Mindset Development Project Standards Data Integration Reusable Components ............................................................. Data Integration Development Standards..........................................................293 Loading Historical Data..........................................................................................295 Same as the Old .................................................................................................296 Historical Data is Different or Dirty .................................................................. 297 Data Integration Prototyping ................................................................................... 298 Data Integration Testing .......................................................................................... 29{* CHAPTER 12 Data Integration Processes ........................................................301 Introduction: Manual Coding versus Tool-Based Data Integration ........................301 Why We Hand Code ...........................................................................................302 Why We Use Tools .............................................................................................304 Selecting a Tool ..................................................................................................305 IVo Tools May Be Better Than One .................................................................309 Data Integration Services ........................................................................................309 Access (Extract) and Delivery (Load) Services .................................................312 Data Ingestion Services ......................................................................................312 Dala Profiling Services ......................................................................................317 Data Transformation Services ............................................................................320 Data Quality Services ........................................................................................324 Process Management Services ...........................................................................328 Operations Management Services ......................................................................331 DattTYaospott Services .....................................................................................332 PART VI BUSINESS INTELLIGENCE DESIGN CHAPTER 13 Business intelligence Applications ............................................337 BI Content Specifications ........................................................................................337 Revise BI Applications List ......................................................................... .....339 BI Personas .............................................................................................................. 34O Casual Consumers ............................................................................ 34I Analysts .......................................................................................... ZZZZ lui Power Users ................................................... 442 Ditt Scientists ............................................................ 342 BI Design Layout—Best Practices ..................................................... ľll.ľ ľ 343 Focus on the Purpose .......................................... ................ Design Layout ................................................. ™ ........................ ΣΖΙ.Ζ343 Data Design for Self-Service BI .......................................[ ..... 34g The Ltst Data Preparation Step ...................... .......... ....... 348 CONTENTS xiii When Inconsistency is Reinlroduced .................................................................349 OLAP Cubes and In-Memory Columnar Databases ..........................................350 Matching Týpes of Analysis to Visualizations ........................................................351 Comparative Analysis ........................................................................................351 Time-Series or Trending Analysis ......................................................................351 Contribution Analysis ........................................................................................352 Correlation Analysis ...........................................................................................354 Geographic Data ................................................................................................354 Distribution Analysis ..........................................................................................357 CHAPTER 14 Bl Design and Development .......................................................359 BI Design ................................................................................................................359 BI User Interface (UI) Standards .......................................................................359 Create Privacy, Security and Access Standards .................................................361 Designing Each BI Application .........................................................................362 BI Development ......................................................................................................367 Prototyping Lifecycle .........................................................................................369 BI Application Development Tasks ....................................................................370 BI Application Testing ............................................................................................372 CHAPTER 15 Advanced Analytics ..................................................................375 Advanced Analytics Overview and Background .....................................................375 The Window to the Future .................................................................................376 Don t Ignore the Past .........................................................................................376 Advanced Analytics in Action ............................................................................376 Predictive Analytics and Data Mining ....................................................................377 Setting Up a Predictive Analytics or Data Mining Program ..............................377 Tasks for Developing and Using Models ...........................................................378 Selecting Tools ...................................................................................................380 Architecture for Predictive Analytics and Data Mining .....................................380 Techniques for Predictive Analytics and Data Mining ......................................381 Resources and Skills ..........................................................................................382 Roadblocks to Success .......................................................................................382 Analytical Sandboxes and Hubs ..............................................................................383 Analytical Sandboxes .........................................................................................383 Analytical Hubs .................................................................................................384 Hub and Sandbox Design Principles ..................................................................387 Hub and Sandbox Architecture Options ............................................................388 Advice for Hubs and Sandboxes ........................................................................394 Big Data Analytics ..................................................................................................395 Scope ..................................................................................................................396 The Program .......................................................................................................397 xiv CONTENTS 397 Hybrid Architecture ........................................................................................... The Big Data Team............................................................................................ Big Data Analytics Worst Practices ...................................................................40° Data Visualization ................................................................................................... Why Data Visualization is Needed .................................................................... 401 What Data Visualization is Not .......................................................................... 402 Reference ................................................................................................................. 402 CHAPTER 16 Data Shadow Systems ............................................................... 4°3 The Dato Shadow Problem ...................................................................................... 403 Are There Data Shadow Systems in Your Organization? ........................................405 What Kind of Data Shadow Systems do You Have? ...............................................406 Data Shadow System Triage ...................................................................................407 Mild and Moderate .............................................................................................407 Serious ................................................................................................................407 Very Serious .......................................................................................................408 The Evolution of Data Shadow Systems in an Organization ..................................408 Filling in a Gap ..................................................................................................408 As They Grow, It is Harder to Ήιτη Back ..........................................................410 IT Group Response to Data Shadow Systems ...................................................411 Damages Caused by Data Shadow Systems ...........................................................412 The Benefits of Data Shadow Systems ...................................................................413 Moving beyond Data Shadow Systems ...................................................................414 Stopping the Blame Game .................................................................................415 Business and IT—In It Together ........................................................................415 Changing the Approach ......................................................................................416 Changing the Culture .........................................................................................417 Misguided Attempts to Replace Data Shadow Systems ..........................................417 Migrating to BI Tool ..........................................................................................418 Croie t Standard Set of Reports .......................................................................418 Renovating Data Shadow Systems ..........................................................................418 Dita Integration Considerations ........................................................................419 Analytical Process Considerations .....................................................................421 Balanced Priorities ............................................................................................421 PART VII URBANIZATION _______________________________________ tapi·, Proem and Politics ............................................ ^ Tb* Technology Trap .............................................................................................. 425 Meeting Expectations ..................................................... -....». Getting People, Process, and Politics under Control .................. ZZZ426 Π» Borine» and IT Relationship .............................................. ...... 427 CONTENTS xv Users or Customers? ..........................................................................................427 Who s in Charge?...............................................................................................427 Communication Shortcomings ...........................................................................428 Roles and Responsibilities ......................................................................................429 The Business Group s Role in the Front Office .................................................429 IT s Role in the Back Office ..............................................................................430 Roles that Span Both Business and IT ...............................................................430 Building the BI Team ..............................................................................................431 Project Sponsorship and Governance ................................................................431 Project Management Team .................................................................................434 Project Development Team (Core Team) ...........................................................435 Extended Project Team ......................................................................................440 Training ...................................................................................................................441 types of Training ...............................................................................................441 Training for the IT Group ..................................................................................442 Training for the Business Group ........................................................................442 Training Methods ...............................................................................................443 Data Governance .....................................................................................................444 Who s Responsible, Business or IT? .................................................................445 Getting Started with Data Governance ..............................................................445 Creating a Data Governance Organization ........................................................446 Working with COEs ...........................................................................................446 Keeping Data Governance on Track ..................................................................447 CHAPTER 18 Project Management .................................................................449 The Role of Project Management ...........................................................................449 Establishing a BI Program ......................................................................................450 Business Strategy Drives the BI Program ..........................................................451 Business Sponsors for the BI Program ..............................................................452 Determining the Portfolio of BI Projects ...........................................................452 Sponsorship, Governance, and Business Participation ......................................453 Build the BI Program Like a Software Firm ......................................................455 Balancing a BI program .....................................................................................457 Internal Marketing of the BI Program ...............................................................459 BI Assessment .........................................................................................................460 Discovery Phase—Assess Current Environment ...............................................461 Analysis Phase—Identify the Gaps ...................................................................463 Recommendations Phase — Scope, Priorities, and Budget .................................465 Work Breakdown Structure .....................................................................................465 WBS Defined .....................................................................................................467 WBS Design Principles ......................................................................................467 xvi CONTENTS Multiple WBSs for BI ........................................................................................ 468 BI Architectural Plan ............................................................................................... 470 BI Projects Are Different ......................................................................................... 472 Project Methodologies ............................................................................................ 473 Battling Project Methodologies ......................................................................... 474 The False Choice between Project Methodologies ............................................476 Hybrid BI Project Methodology ........................................................................477 BI Project Phases ..................................................................................................... 479 Scope and Plan Phase ......................................................................................... 480 Analysis and Definition Phase ...........................................................................481 Architect and Design Phase ...............................................................................482 Build, Test, and Refine Phase .............................................................................482 Implementation Phase .......................................................................·................483 Deploy and Roll-Out Phase ...............................................................................484 BI Project Schedule .................................................................................................484 BI Swim Lane ....................................................................................................487 Data and Database Swim Lane ..........................................................................488 Data Integration Swim Lane ..............................................................................489 Infrastructure Swim Lane ..................................................................................490 Program and Project Management Swim Lane .................................................491 CHAPTER 19 Centere off Excellence ...............................................................493 The Purpose of Centers of Excellence ....................................................................493 ВІСОБ ....................................................................................................................494 Why Businesses Need BICOEs ........................................................................494 Building a Business Case for a BI COE ............................................................496 BI COE Deliverables .........................................................................................498 SküIsNeeded ...................................................................... ..... ZZ Z Z Z.499 Organization and Funding ..................................................................................501 Data Integration Center of Excellence ....................................................................501 Why Businesses Need DI COEs ...................................................................... 502 Building a Business Case for a Dl COE............................................................ 504 Organizational Models for Building the Dl COE.............................................. 507 DI COE Deliverables .................................................. .Zľ.ľ.ľ І509 Skills Needed ................................................... ZZZZZZľľľZľ 510 Enabling a Data-Driven Enterprise ......................................... ZZIZZIZsil Reference ................................... t ...................... - « « ..........................................................................................................513
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spellingShingle	Sherman, Rick Business intelligence guidebook from data integration to analytics Business Intelligence (DE-588)4588307-5 gnd
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title	Business intelligence guidebook from data integration to analytics
title_auth	Business intelligence guidebook from data integration to analytics
title_exact_search	Business intelligence guidebook from data integration to analytics
title_full	Business intelligence guidebook from data integration to analytics Rick Sherman
title_fullStr	Business intelligence guidebook from data integration to analytics Rick Sherman
title_full_unstemmed	Business intelligence guidebook from data integration to analytics Rick Sherman
title_short	Business intelligence guidebook
title_sort	business intelligence guidebook from data integration to analytics
title_sub	from data integration to analytics
topic	Business Intelligence (DE-588)4588307-5 gnd
topic_facet	Business Intelligence
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027771753&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT shermanrick businessintelligenceguidebookfromdataintegrationtoanalytics

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