book

Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today’s Complex Business Environment

Name: Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today’s Complex Business Environment
Author: Saumya Chaki
ISBN: 9781484212189

by Saumya Chaki

December 2015

Beginner to intermediate

224 pages

6h 33m

English

Apress

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Cover
Title
Copyright
Dedication
Contents at a Glance
Contents
About the Author
About the Technical Reviewer
Acknowledgments
Introduction

Chapter 1: Enterprise Information Management: Definition, Scope, and History
Definition of EIMEIM’s ScopeBusiness Intelligence StrategyData Integration StrategyMaster Data Management StrategyInformation Governance StrategyInformation Quality StrategyData Architecture StrategyEnterprise Content Management StrategyInformation Security StrategyA Brief History of Enterprise Information Management
Chapter 2: The Lifecycle of Enterprise Information Management
Understanding the Stages of the Life Cycle of Enterprise Information Assets from Creation to ArchivalCreation/ReceiptDistributionConsumptionDisposition/ArchivalDestruction/RetireEnterprise Information Lifecycle ManagementUnderstanding the Actors in the Stages of the Enterprise Information LifecycleInformation Lifecycle - Actors and Their RolesInformation Lifecycle—Organization Model
Chapter 3: Components of Enterprise Information Management
Enterprise Information Management—Reference ArchitectureInformation SourcingInformation Integration and ExchangeInformation Governance and QualityInformation Architecture and ModelsMaster Information ManagementInformation Warehousing and ReservoirsInformation Delivery and ConsumptionMetadata ManagementBig Data Components
Chapter 4: Pillar No. 1: Information Sourcing
Information Sourcing—Types of SourcesMapping Business Requirements to Source SystemsProfile Source Systems for Relevant DatasetsDefine Source Extract MechanismsProvide Source Extract Files for Information IntegrationInformation Sourcing—The Different ApproachesInformation Sourcing Patterns and ChallengesInformation Sourcing—The Importance of Granularity
Chapter 5: Pillar No. 2: Information Integration and Exchange
Key Drivers for Determining Integration ApproachNature of Extraction Between Source Systems andConsuming Systems(Push/Pull)Type ofConnectorsNeeded for Pull from Source SystemsLeverage Data IntegrationEnginefor Transformations of Source Data or Use Database Engine forTransformationsOutbound Extract Formats Needed forConsuming ApplicationsUnderstand Data Security’s Needs As Part of the Integration Process and Any Country’s Specific Data Compliance NeedsInformation Integration and Exchange— Key Strategies and MechanismsExtract, Transform and Load (ETL)Extract, Load and Transform (ELT)Data IntegrationHubsSlowly Changing DimensionsReal-Time Data IntegrationEnterprise Information IntegrationInformation Exchange Standards—Business to Business and Business to ConsumerTools for Information Integration and Exchange
Chapter 6: Pillar No. 3: Information Governance and Quality
Define Information Governance and QualityInformation Governance ProcessesInformation Governance CouncilInformation Governance ToolsInformation Quality ProcessesInformation Quality Organization ModelInformation Quality ToolsKey Drivers for Information Governance and QualityBuilding Blocks for Information Governance and QualityTools for Information Governance and Quality
Chapter 7: Pillar No. 4: Master Information Management
Definition of Master Information ManagementKey Drivers for Master Information ManagementGrowthSpeed to MarketCost OptimizationEnhance CollaborationSingle View of ReportingComplianceBuilding Blocks and Enablers for Master Information ManagementMaster Information Management Vision and StrategyInformation GovernanceInformation QualityMaster Information ManagementMetricsMaster Information Management Solution Architecture and ToolsCritical Success Factors in Master Information ManagementBusiness CaseTools for Master Information Management
Chapter 8: Pillar No. 5: Information Warehousing
Information Warehouse DefinitionKey Drivers for Information WarehousingEnhance Customer ExperienceSingle Version of Truth360 Degree View of the EnterpriseHistorical and Time Series AnalysisEnhance Data LakesSelf-Service Business IntelligenceBusiness EfficiencyTrustworthy, Standardized, Consistent InformationBuilding Blocks and Enablers for Information WarehousingInformation Warehouse Vision and StrategyInformationArchitectureInformation Integration andQualityInformation RepositoryInformation WarehouseSolution Architecture and ToolsCritical Success Factors in Information WarehousingBusiness CaseTools for Information Warehousing
Chapter 9: Pillar No. 6: Information Delivery and Consumption
Information Delivery and Consumption DefinitionKey Drivers for Information Delivery and ConsumptionSelf-Service Business Intelligence360 Degree View of the EnterprisePerform Historical and Time Series AnalysisEnhance Customer ExperienceSupply Chain OptimizationProductivity BenefitsManufacturing EfficienciesOperational IntelligenceBuilding Blocks and Enablers for Information Delivery and ConsumptionInformation Delivery Consumption Vision and StrategyInformation Delivery and Consumption Self-Service Reporting CapabilitiesInformation Delivery and Consumption ChannelsInformation Delivery and Consumption Solution Architecture and ToolsCritical Success Factors in Information Delivery and ConsumptionInformation Security Challenges Concerning Information Delivery and ConsumptionTools for Information Delivery and Consumption
Chapter 10: Pillar No. 7: Metadata Management
Metadata Management DefinitionKey Drivers for Metadata ManagementEnhance Business ProductivityImproved Change ManagementCost OptimizationEnhance Business CollaborationReduce Compliance RisksEnhance IT ProductivityBuilding Blocks and Enablers for Metadata ManagementCritical Success Factors in Metadata ManagementTools for Metadata Management
Chapter 11: Pillar No. 8: Big Data Components
Big Data DefinitionKey Drivers for Big Data SolutionsData Monetization OpportunitiesNew Product InnovationsDeeper Customer InsightsOperational Process EfficienciesFraud Detection and Reduction of RiskCost OptimizationBuilding Blocks and Enablers for Big Data SolutionsBig Data Vision and StrategyBig Data Pilot and the Next StepsBig Data Solution Architecture and ToolsCritical Success Factors in Big DataTools for Big Data
Chapter 12: Building an Enterprise Information Management Solution
Key Phases of an EIM ProgramDefine EIM BlueprintDefine EIM Program Governance Framework and OrganizationDevelop EIM Strategy and RoadmapImplement EIM Initiatives and Measure BenefitsThe Need for an EIM Center of Excellence (EIM CoE)Increased Speed of DeliveryCost OptimizationCreate Business ValueCreate Reusable AssetsStandardized Architecture and Delivery ModelsProject PrioritizationEIM CoE Organization ModelsDelivery Phases of an EIM ProjectCritical Success Factors of an EIM Project
Chapter 13: EIM in Today’s Business Environment
Key EIM Trends in Today’s EnterprisesAdoption of Hadoop and NoSQLInformation GovernanceSocial Master Data ManagementEmergence of Cloud-Based Information WarehousesInternet of ThingsStreaming AnalyticsImpact AreasBig Data Use Case in Oil and GasBig Data Use Case in Mining and MetalsBig Data Use Case in RetailEmergence of Cloud-Based EIM SolutionsAnalytical Data Mart in the Public CloudAnalytical Data Mart and Business Intelligence Reports/Dashboards in the Public CloudInformation Warehouse in the Public CloudData Lake in a Hybrid CloudDrivers for Moving to the Cloud
Appendix: Glossary of Terms
Chapter 1: Enterprise Information Management: Definition, Scope, and HistoryChapter 2: The Lifecycle of Enterprise Information ManagementChapter 3: Components of Enterprise Information ManagementChapter 4: Pillar No. 1: Information SourcingChapter 5: Pillar No. 2: Information Integration and ExchangeChapter 6: Pillar No. 3: Information Governance and QualityChapter 7: Pillar No. 4: Master Information ManagementChapter 8: Pillar No. 5: Information WarehousingChapter 9: Pillar No. 6: Information Delivery and ConsumptionChapter 10: Pillar No. 7: Metadata ManagementChapter 11: Pillar No. 8: Big Data ComponentsChapter 12: Building an Enterprise Information Management SolutionChapter 13: EIM in Today’s Business Environment
Index

Content preview from Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today’s Complex Business Environment

Contents

About the Author

About the Technical Reviewer

Acknowledgments

Introduction

Chapter 1: Enterprise Information Management: Defi nition, Scope, and History

Definition of EIM

EIM’s Scope

Business Intelligence Strategy

Data Integration Strategy

Master Data Management Strategy

Information Governance Strategy

Information Quality Strategy

Data Architecture Strategy

Enterprise Content Management Strategy

Information Security Strategy

A Brief History of Enterprise Information Management

Chapter 2: The Lifecycle of Enterprise Information Management ...

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Making Enterprise Information Management (EIM) Work for Business

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Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today’s Complex Business Environment

by Saumya Chaki

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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