业务分析与优化之EIM介绍.ppt
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1、 2010 IBM Corporation1业务分析与优化之EIM介绍 Still waters run deep.流静水深流静水深,人静心深人静心深 Where there is life,there is hope。有生命必有希望。有生命必有希望 2010 IBM Corporation3BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingEIM Architecture and Data Warehousing:Module objectivesAt the end of this module,you sh
2、ould be able to:Define repository typesDefine data warehousing and business analytics and optimizationUnderstand the role of data warehousing in corporate information technologyUnderstand the history of data warehousingUnderstand the IBM BI Reference ArchitectureUnderstand the various architecture d
3、isciplines required for successful data warehouse projectsUnderstand how to approach defining a solution architecture 2010 IBM Corporation4?BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingCommon questionsWhat is a data warehouse?What distinguishes it from a data mart?What distingui
4、shes it from an operational data store?Why does data warehousing seem to be difficult and time consuming?What different types of analytics and reporting can be enabled by the data warehouse?What does single version of the truth mean?Can I have multiple data warehouses?How do I get started?How do I m
5、easure return on my investment in the data warehouse?2010 IBM Corporation5BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingBusiness Analytics and OptimizationBAO StrategyBusiness Intelligence and Performance ManagementAdvanced Analytics and OptimizationEnterprise Information Managem
6、entEnterprise Content ManagementBAO Strategy and Road mapDetail Business and Financial Case for ChangeBAO Process and GovernanceChange Management and Adoption for Large BAO ProgramsDashboards and ScorecardsPlanning,Budgeting,and ForecastingBusiness Analytics and ReportingAdvanced AnalyticsPredictive
7、 ModelingBusiness OptimizationSimulationVisualizationGeographic Information SystemsBusiness RulesEIM Architecture and Data WarehousingData Modeling and Industry ModelsData Integration Information GovernanceMaster Data ManagementDocument and Records ManagementWeb 2.0/Web Content ManagementDigital Ass
8、et and Rights ManagementArchiving and Record Management 2010 IBM Corporation6BAO Competency Boot Camp EIM EIM Architecture and Data Warehousing Jump start discussion What would you say is the most critical success factor for a data warehouse implementation?2010 IBM Corporation7BAO Competency Boot Ca
9、mp EIM EIM Architecture and Data WarehousingOne Perspective:Understanding the dataDefinitionIs there an Enterprise Conceptual Data Model?Is there a Common Business Language?Is the data well defined and understood?Is there metadata(definitions and allowed values)?PopulationIs the data sparse or well
10、populated?Have crucial applications been identified and mapped to important data domains?ValueDoes storing the data in an organized way facilitate the return of business value?Does the data assist in building predictive models?GovernanceAre data stewards in place?Is Governance in the proper place in
11、 the organization,where it can influence appropriate decisions?Are the values conformed across sources?2010 IBM Corporation8BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingHistory of Data WarehousingBusiness ContextBI Reference ArchitectureGathering RequirementsCommon PitfallsGroup
12、 DiscussionWrap UpEIM Architecture and Data Warehousing:Topic 2010 IBM Corporation9BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingA brief historyBusiness IntelligenceH.P.Luhn:A Business Intelligence System(IBM Journal 1958)Data warehousing:Barry Devlin and Paul Murphy:An architect
13、ure for a business and information systems(IBM Journal 1988)Started to grow in the early 1990sIs driven by technology limitations(even today)and silos of operational dataHas information governance and metadata as key components 2010 IBM Corporation10BAO Competency Boot Camp EIM EIM Architecture and
14、Data WarehousingA brief history(continued)Three key thought leaders,who are pioneers in the field of enterprise data warehouse management are:Bill InmonNormalized warehouse with dependent martsRalph Kimball Superset of marts(dimensional design)Claudia Imhoff Corporate Information Factory refinement
15、2010 IBM Corporation11BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingBill InmonRalph KimballClaudia ImhoffFather of Data WarehousingDefines the atomic/data warehouse as:Most granularTime variantIntegrated Subject oriented with some summariesNormalizes the atomic/data warehouse wit
16、h dependent dimensional data martsDefined the Corporate Information Factory(CIF)Source:Building the Data Warehouse W.H InmonMore information available at 2010 IBM Corporation12BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingBill InmonRalph KimballClaudia ImhoffA data warehouse,a co
17、py of transaction data specifically structured for query and analysis Union of the constituent data martsDimensional modelBuild iteratively as you go,building on evolving user requirementsChallenges the Inmon data warehouse constructsSource:The Data Warehouse Lifecycle Toolkit Ralph Kimball,et alSea
18、rch Inmon versus Kimball on the Web for more information 2010 IBM Corporation13BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingBill InmonRalph KimballClaudia ImhoffUnion of Inmon and Kimball(relational versus dimensional)Data warehouse model is:Reliable across the businessSharable
19、across the enterpriseFlexible in the types of data marts it supportsCorrect across the businessAdaptable to changesUses Inmons Corporate Information Factory model and adapts Kimballs dimensional techniques to itSource:Mastering Data Warehouse Design Claudia Imhoff,et al 2010 IBM Corporation14BAO Com
20、petency Boot Camp EIM EIM Architecture and Data WarehousingHistory of Data WarehousingBusiness ContextBI Reference ArchitectureGathering RequirementsCommon PitfallsGroup DiscussionWrap UpEIM Architecture and Data Warehousing:Agenda 2010 IBM Corporation15BAO Competency Boot Camp EIM EIM Architecture
21、and Data WarehousingBAO and Data Warehousing must be in business contextCan only truly be justified based on value returned to the businessAvoid build it and they will comeData warehouse projects typically take more effort,time,and money than originally estimated due to unknown data quality issues,l
22、ack of true information governance,and unclear requirementsAvoid building for operational reporting It is important to understand the difference between analysis and operational reporting:Depends on data analyzed and the ways in which it is analyzed 2010 IBM Corporation16BAO Competency Boot Camp EIM
23、 EIM Architecture and Data WarehousingTypes of reportingOperationalSame DataSame WayAd hoc AnalyticsDifferent DataDifferent WayAnalyticsSame DataDifferent WayFutureDifferent DataSame Way 2010 IBM Corporation17BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingThe Data Warehouse role f
24、rom a business perspectiveTrusted source of historical data:TransactionsSnapshotsBusiness hierarchiesProvides the data delivery to:Reporting(follow up)Analytical applications(business development)Input to planning and forecastingAd hoc analysis(business support)Operational system statistics(operatio
25、nal support)2010 IBM Corporation18BAO Competency Boot Camp EIM EIM Architecture and Data WarehousingExample:Business ArchitectureBusiness OperationsAnalysisCollaborationIBM FSS2001-04-12PersonalizationCustomerInteractionProcessingMarketingProspectingCampaign ExecutionSalesNeeds AnalysisIllustrations
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