{"product_id":"informationdriven-business-9780470625774","title":"InformationDriven Business","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eInformation doesn''t just provide a window on the business, increasingly it is the business. The global economy is moving from products to services which are described almost entirely electronically. Even those businesses that are traditionally associated with making things are less concerned with managing the manufacturing process (which is largely outsourced) than they are with maintaining their intellectual property.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eInformation-Driven Business\u003c\/i\u003e helps you to understand this change and find the value in your data. Hillard explains techniques that organizations can use and how businesses can apply them immediately. For example, simple changes to the way data is described will let staff support their customers much more quickly; and two simple measures let executives know whether they will be able to use the content of a database before it is even built. This book provides the foundation on which analytical and data rich organizations can be created.\u003c\/p\u003e \u003cp\u003eInnovative a\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: Understanding the Information Economy 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDid the Internet Create the Information Economy? 2\u003c\/p\u003e \u003cp\u003eOrigins of Electronic Data Storage 2\u003c\/p\u003e \u003cp\u003eStocks and Flows 3\u003c\/p\u003e \u003cp\u003eBusiness Data 4\u003c\/p\u003e \u003cp\u003eChanging Business Models 5\u003c\/p\u003e \u003cp\u003eInformation Sharing versus Infrastructure Sharing 6\u003c\/p\u003e \u003cp\u003eGoverning the New Business 7\u003c\/p\u003e \u003cp\u003eSuccess in the Information Economy 8\u003c\/p\u003e \u003cp\u003eNotes 9\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: The Language of Information 10\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStructured Query Language 13\u003c\/p\u003e \u003cp\u003eStatistics 14\u003c\/p\u003e \u003cp\u003eXQuery Language 15\u003c\/p\u003e \u003cp\u003eSpreadsheets 15\u003c\/p\u003e \u003cp\u003eDocuments and Web Pages 16\u003c\/p\u003e \u003cp\u003eKnowledge, Communications, and Information Theory 17\u003c\/p\u003e \u003cp\u003eNotes 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Information Governance 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInformation Currency 19\u003c\/p\u003e \u003cp\u003eEconomic Value of Data 21\u003c\/p\u003e \u003cp\u003eGoals of Information Governance 23\u003c\/p\u003e \u003cp\u003eOrganizational Models 24\u003c\/p\u003e \u003cp\u003eOwnership of Information 26\u003c\/p\u003e \u003cp\u003eStrategic Value Models 27\u003c\/p\u003e \u003cp\u003eRepackaging of Information 30\u003c\/p\u003e \u003cp\u003eLife Cycle 31\u003c\/p\u003e \u003cp\u003eNotes 32\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: Describing Structured Data 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNetworks and Graphs 33\u003c\/p\u003e \u003cp\u003eBrief Introduction to Graphs 35\u003c\/p\u003e \u003cp\u003eRelational Modeling 37\u003c\/p\u003e \u003cp\u003eRelational Concepts 38\u003c\/p\u003e \u003cp\u003eCardinality and Entity-Relationship Diagrams 39\u003c\/p\u003e \u003cp\u003eNormalization 40\u003c\/p\u003e \u003cp\u003eImpact of Time and Date on Relational Models 49\u003c\/p\u003e \u003cp\u003eApplying Graph Theory to Data Models 51\u003c\/p\u003e \u003cp\u003eDirected Graphs 52\u003c\/p\u003e \u003cp\u003eNormalized Models 53\u003c\/p\u003e \u003cp\u003eNote 54\u003c\/p\u003e \u003cp\u003eChapter 5: Small Worlds Business Measure of Data 55\u003c\/p\u003e \u003cp\u003eSmall Worlds 55\u003c\/p\u003e \u003cp\u003eMeasuring the Problem and Solution 56\u003c\/p\u003e \u003cp\u003eAbstracting Information as a Graph 57\u003c\/p\u003e \u003cp\u003eMetrics 58\u003c\/p\u003e \u003cp\u003eInterpreting the Results 60\u003c\/p\u003e \u003cp\u003eNavigating the Information Graph 61\u003c\/p\u003e \u003cp\u003eInformation Relationships Quickly Get Complex 62\u003c\/p\u003e \u003cp\u003eUsing the Technique 64\u003c\/p\u003e \u003cp\u003eNote 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: Measuring the Quantity of Information 66\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDefinition of Information 66\u003c\/p\u003e \u003cp\u003eThermal Entropy 67\u003c\/p\u003e \u003cp\u003eInformation Entropy 68\u003c\/p\u003e \u003cp\u003eEntropy versus Storage 70\u003c\/p\u003e \u003cp\u003eEnterprise Information Entropy 73\u003c\/p\u003e \u003cp\u003eDecision Entropy 76\u003c\/p\u003e \u003cp\u003eConclusion and Application 78\u003c\/p\u003e \u003cp\u003eNotes 78\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Describing the Enterprise 79\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSize of the Undertaking 79\u003c\/p\u003e \u003cp\u003eEnterprise Data Models Are All or Nothing 80\u003c\/p\u003e \u003cp\u003eThe Data Model as a Panacea 81\u003c\/p\u003e \u003cp\u003eMetadata 82\u003c\/p\u003e \u003cp\u003eThe Metadata Solution 83\u003c\/p\u003e \u003cp\u003eMaster Data versus Metadata 84\u003c\/p\u003e \u003cp\u003eThe Metadata Model 85\u003c\/p\u003e \u003cp\u003eXML Taxonomies 87\u003c\/p\u003e \u003cp\u003eMetadata Standards 87\u003c\/p\u003e \u003cp\u003eCollaborative Metadata 88\u003c\/p\u003e \u003cp\u003eMetadata Technology 90\u003c\/p\u003e \u003cp\u003eData Quality Metadata 91\u003c\/p\u003e \u003cp\u003eHistory 91\u003c\/p\u003e \u003cp\u003eExecutive Buy-in 92\u003c\/p\u003e \u003cp\u003eNotes 93\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8: A Model for Computing Based on Information Search 94\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFunction-Centric Applications 95\u003c\/p\u003e \u003cp\u003eAn Information-Centric Business 96\u003c\/p\u003e \u003cp\u003eEnterprise Search 97\u003c\/p\u003e \u003cp\u003eSecurity 98\u003c\/p\u003e \u003cp\u003eMetadata Search Repository 98\u003c\/p\u003e \u003cp\u003eBuilding the Extracts 100\u003c\/p\u003e \u003cp\u003eThe Result 100\u003c\/p\u003e \u003cp\u003eNote 102\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9: Complexity, Chaos, and System Dynamics 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEarly Information Management 103\u003c\/p\u003e \u003cp\u003eSimple Spreadsheets 104\u003c\/p\u003e \u003cp\u003eComplexity 105\u003c\/p\u003e \u003cp\u003eChaos Theory 105\u003c\/p\u003e \u003cp\u003eWhy Information Is Complex 106\u003c\/p\u003e \u003cp\u003eExtending a Prototype 110\u003c\/p\u003e \u003cp\u003eSystem Dynamics 112\u003c\/p\u003e \u003cp\u003eData as an Algorithm 116\u003c\/p\u003e \u003cp\u003eVirtual Models and Integration 118\u003c\/p\u003e \u003cp\u003eChaos or Complexity 119\u003c\/p\u003e \u003cp\u003eNotes 120\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10: Comparing Data Warehouse Architectures 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData Warehousing 121\u003c\/p\u003e \u003cp\u003eContrasting the Inmon and Kimball Approaches 122\u003c\/p\u003e \u003cp\u003eQuantity Implications 123\u003c\/p\u003e \u003cp\u003eUsability Implications 125\u003c\/p\u003e \u003cp\u003eHistorical Data 132\u003c\/p\u003e \u003cp\u003eSummary 133\u003c\/p\u003e \u003cp\u003eNotes 134\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11: Layered View of Information 135\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInformation Layers 136\u003c\/p\u003e \u003cp\u003eAre They Real? 137\u003c\/p\u003e \u003cp\u003eTurning the Layers into an Architecture 141\u003c\/p\u003e \u003cp\u003eThe User Interface 143\u003c\/p\u003e \u003cp\u003eSelling the Architecture 144\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12: Master Data Management 146\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePublish and Subscribe 146\u003c\/p\u003e \u003cp\u003eAbout Time 148\u003c\/p\u003e \u003cp\u003eGranularity, Terminology, and Hierarchies 148\u003c\/p\u003e \u003cp\u003eRule 1: Consistent Terminology 149\u003c\/p\u003e \u003cp\u003eRule 2: Everyone Owns the Hierarchies 150\u003c\/p\u003e \u003cp\u003eRule 3: Consistent Granularity 150\u003c\/p\u003e \u003cp\u003eReconciling Inconsistencies 151\u003c\/p\u003e \u003cp\u003eSlowly Changing Dimensions 151\u003c\/p\u003e \u003cp\u003eCustomer Data Integration 153\u003c\/p\u003e \u003cp\u003eExtending the Metadata Model 153\u003c\/p\u003e \u003cp\u003eTechnology 155\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13: Information and Data Quality 156\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSpreadsheets 156\u003c\/p\u003e \u003cp\u003eReferencing 157\u003c\/p\u003e \u003cp\u003eFit for Purpose 158\u003c\/p\u003e \u003cp\u003eMeasuring Structured Data Quality 160\u003c\/p\u003e \u003cp\u003eA Scorecard 164\u003c\/p\u003e \u003cp\u003eMetadata Quality 164\u003c\/p\u003e \u003cp\u003eExtended Metadata Model 165\u003c\/p\u003e \u003cp\u003eNotes 166\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14: Security 167\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCryptography 167\u003c\/p\u003e \u003cp\u003ePublic Key Cryptography 169\u003c\/p\u003e \u003cp\u003eApplying PKI 170\u003c\/p\u003e \u003cp\u003ePredicting the Unpredictable 172\u003c\/p\u003e \u003cp\u003eProtecting an Individual’s Right to Privacy 172\u003c\/p\u003e \u003cp\u003eSecuring the Content versus Securing the Reference 175\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15: Opening Up to the Crowd 176\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Taxonomy for the Future 177\u003c\/p\u003e \u003cp\u003ePopulating the Stakeholder Attributes 179\u003c\/p\u003e \u003cp\u003eReducing E-mail Traffic within Projects 179\u003c\/p\u003e \u003cp\u003eManaging Customer E-mail 180\u003c\/p\u003e \u003cp\u003eGeneral E-mail 180\u003c\/p\u003e \u003cp\u003ePreparing for the Unknown 181\u003c\/p\u003e \u003cp\u003eThird-Party Data Charters 182\u003c\/p\u003e \u003cp\u003eInformation Is Dynamic 183\u003c\/p\u003e \u003cp\u003ePower of the Crowd Can Improve Your Data Quality 183\u003c\/p\u003e \u003cp\u003eNote 184\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16: Building Incremental Knowledge 185\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBayesian Probabilities 187\u003c\/p\u003e \u003cp\u003eInformation from Processes 188\u003c\/p\u003e \u003cp\u003eThe MIT Beer Game 192\u003c\/p\u003e \u003cp\u003eHypothesis Testing and Confidence Levels 193\u003c\/p\u003e \u003cp\u003eBusiness Activity Monitoring 195\u003c\/p\u003e \u003cp\u003eNote 196\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17: Enterprise Information Architecture 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWeb Site Information Architecture 198\u003c\/p\u003e \u003cp\u003eExtending the Information Architecture 198\u003c\/p\u003e \u003cp\u003eBusiness Context 199\u003c\/p\u003e \u003cp\u003eUsers 199\u003c\/p\u003e \u003cp\u003eContent 200\u003c\/p\u003e \u003cp\u003eTop-Down\/Bottom-Up 200\u003c\/p\u003e \u003cp\u003ePresentation Format 201\u003c\/p\u003e \u003cp\u003eProject Resourcing 201\u003c\/p\u003e \u003cp\u003eInformation to Support Decision Making 203\u003c\/p\u003e \u003cp\u003eNotes 204\u003c\/p\u003e \u003cp\u003eLooking to the Future 205\u003c\/p\u003e \u003cp\u003eAbout the Author 209\u003c\/p\u003e \u003cp\u003eIndex 211\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402380747095,"sku":"9780470625774","price":30.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470625774.jpg?v=1730480221","url":"https:\/\/bookcurl.com\/products\/informationdriven-business-9780470625774","provider":"Book Curl","version":"1.0","type":"link"}