版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請進(jìn)行舉報(bào)或認(rèn)領(lǐng)
文檔簡介
如何分析并作出正確的決策HowToAutomateSmAgendaWhatis"decisionmanagementtechnology"Whatkindsofdecisionsshouldnotbeautomated?Whatarerule-basedsystemsandwhyaretheyadvantageous?What'saremainthedifferencesbetweenBI,AnalyticsandDecisionManagement?Howaretheabovepractices/technologiesmeasured?2ExcessiveFocusonUnderstanding:
RearView,HistoricalPerspective3PerformanceManagementProvidesEmphasisonImprovementandAutomationofDecisionsAmethodologythatexaminesthepeople,process,informationandtechnologyandaprocessthatalignsbusinessandtechnologytoimproveresults.PerformanceManagementProcessUnderstand–Comprehendthestatusofpeople,organizationandbusinessprocesses.Optimize–Planforfutureactionsanddecisionsthatcanachievetheobjectivesandgoals.Align–Communicateandprovideguidance,objectives,goalsandincentives.VentanaResearchPerformanceCycle?PerformanceManagement4DecisionManagementImprovebusinessdecisionsthroughdesign,deploymentandrefinementofoperationaldecisionmakingproceduresDecisionManagementhelpsenterprisemakebetter,moreconsistentbusinessdecisionsMaximizerevenue,minimizecosts,streamlinebusinessprocessesViaWeb,OLTP,callcenter,andbatchapplicationsAgileevolutionofdecisionmakingtomeetnewbusinesschallengesGivedataanalysts,businesspolicymakers,
corporateportfoliomanagers,anditimplementers
toolstounderstandanduseeachothersinformationUseanalysisofthepasttomodifydecisionstrategies
inthepresenttocorrectlymanage
andguidefutureactivitiesWhatisIt?5DecisionManagementExlesCustomermanagementdecisionshowtohandleparticularrequestsforservices,howtotreatcustomersincollections,whethertoincreaseexposuretocurrentcustomersthroughadditionalcreditoffers,etc.Supplierselectiondecisionswhichsuppliertouseforagivenorderofpartsbasedoncost,pastdeliveryhistory,customerpreferences,etc.Advertiserselectiondecisionswhichadvertisershouldbeselectedforagivenadvertisementopportunitygivenexistingcontracts,typeofopportunity,recentlyshownads,etc.Auditselectiondecisionswhichtaxpayersshouldbeselectedforauditinggivenexperiencewithpreviousaudits,pastfilings,currentpolicies,etc.6ExaminingDecisionCyclesforAutomation1-Recognize
Threat/Opp.3-SetGoals/
Objectives2-Understand
Factors4-Devise
Solutions5-Compare
Solutions6-Decide
onActionPlan7-ExecuteActionPlan8-Review
ActionresultsInformation
AcquisitionGoal
SettingDecisionMakingAction
CoordinationAreasoffacilitationofthedecisionmakingprocessAutomated
Decision
SystemsTraditional
BIuse7DecisionManagementandAutomationAutomateddoesnotmeanlightsoutDecisionreviewsometimeoralwaysrequiredDecisionexceptionmanagementRulesenginemaintenanceandupdatesInputAutomated
DecisionsModels/RulesReviewsExceptions8ApplicationorUserrequestingadecisionDecisionManagementFrameworkDecisionManagementApplicationorInterfacePredictive
ModelsDevelopment
EnvironmentBusinessRuleEngineData
SourcesThirdPartyApplicationsorInterfacesRepository9BusinessRules–DecisionManagementRulesareconditionalstatementsofhowtorespondtodataoreventswithabusinesstransactionIfFerrariis$30,thenbuyquicklyBusinessrulestakemanyformsPolicies,practices,andproceduresyouusetomakeoperationaldecisionsStrategiesbasedonhistoricaldataandbusinessacumenDecisionTreesDecisionTablesRulescarryoutactionssuggestedbymodelingandoptimizationstrategiesBusinessrulesarefoundinyourcompanypolicymanuals,inlinesofcodeinlegacysystems,interdepartmentalmemos,andinthemindsofyourexperiencedemployees10BusinessRules–DecisionManagementRulesEnginesEvolutionofExpertsystemsTwostepprocessCreaterulesusingexpertsDeploytherulesetWhat’snewGraphicaldevelopmentandadministrationMatureruledevelopmentenvironmentsRobustplatformsIntegrationwithcomplimentarytechnologiesAccessibletobusinessmanagers/non-technologistsIndustryexperiencewithsuccessandfailure11PredictiveModeling–DecisionManagementPredictiveModelingAppliedstatisticsandotherdataminingapproachesRegression/NeuralNetworksClassification,Segmentation2stepprocessCreatethemodel,usethemodelWhat’snewImproved,graphicaluserinterfacesAutomationofmodelcreationIntegrationwithrulesenginesIndustryexperiencewithsuccessandfailure12DecisionManagement-MaturityCurveBusinessRules
AutomationLeveragedExpertise
AutomatedDecisions
NoOptimizationDecisionRefinementLeveragedExpertise
AutomatedDecisions
ManualTuningAdaptiveControlAutomatedaccess
AutomatedprocessingDecisionTesting
ManualTuningPredictiveModelingAutomatedaccess
AutomatedprocessingDecisionTesting
PredictiveModelsManual
analysisManualdecisionsDecisionOptimizationAutomatedaccess
AutomatedprocessingRoutedDecisions
PredictiveModelsManual
analysisManualdecisions13DecisionManagementApplicationNeedsE-Commercenowadrivingfactorinreal-timetransactions$80Bannualrunrate(Q4CY2004)(USCensusBureau)+29%fromQ3CY20042%oftotalUSsalesRetailingMerchantSurveyAmongTop5keysellingtoolsCross-sell/Up-sell,Promotions,Sales/SpecialsCommerceFraud2004On-linecommercefraudlosses$2.6B(CyberSourcesurvey)2004On-linelossesgrowth25%-30%growthexpectedManualreviewincreasedSpeedofe-commerceInteractivetransactionratesnow10-20secondsforleadingsites(Keynote)Skillsandturnoverofworkforce10%-30%turnover(CallCenterMgmtReview)14BestPracticesinIdentificationof
DecisionManagementHighdecisionvolumeManualoversightisnottechnicallyoreconomicallyfeasible.PotentialforrespectivecostsavingsorincrementalrevenueInconsistentworkforcedecisionskillsHighemployeeturnoverLowpositioncompensationNeedforself-serviceBusinessdemandapresenceonthewebServicesrequireinstantdecisionmakingonpricing,packaging,deliveryandotherfacets.Web-sitevisitorsexpectinstantresponse.PastindicatesthefutureDecisioninput/outcomerelationshipcanbemeasuredandmodeledDecisionsconsistentovertimeInternetisakeybusinessenablerCustomers,andemployeesexpectfast,high-valueinteractionsComparableperformance,personalizationandaccommodationareacriticalsuccessfactorforyourbusiness.15ConvergingTechnologiesfromBusinessIntelligencetoDecisionManagementTools&ApplicationsMonitoring&AlertingPlatformandServerTechnologyDashboard&ScorecardInformationManagement&MasterDataMgtAnalytics&LocationReporting&VisualizationIntegrationManagement(Application,Data&Info.)1995-2004Query&AnalysisPlatformsReportingModeling&AnalyticsRules&WorkflowMasterDataManagement2006-Rules&WorkflowDataMining&Modeling16Business
UnderstandingDecisionManagementEnables
PerformanceManagementPerformance
ManagementShrinking
ResponseTimeInconsistentDecisionMakingLimited
Decision
CompetenceDecision
RiskDecisionMgtBenefitsEncodedDecisionProcessImproved
ROIFacilitated
DecisionsAut
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預(yù)覽,若沒有圖紙預(yù)覽就沒有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負(fù)責(zé)。
- 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時(shí)也不承擔(dān)用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- 2026年家庭教育指導(dǎo)服務(wù)專題培訓(xùn)
- 2026年康復(fù)患者健康中國責(zé)任擔(dān)當(dāng)踐行
- 化妝技術(shù)課程內(nèi)容
- 2026標(biāo)準(zhǔn)版離婚協(xié)議書(財(cái)產(chǎn)分割版)
- 養(yǎng)老機(jī)構(gòu)護(hù)理服務(wù)操作手冊
- 銷售面試題目及答案
- 2025年環(huán)保設(shè)施運(yùn)行與監(jiān)測技術(shù)手冊
- 2025年生物制藥工藝操作流程手冊
- 飲料灌裝工春節(jié)假期安全告知書
- 自由鍛鍛工春節(jié)假期安全告知書
- 郵政服務(wù)操作流程與規(guī)范(標(biāo)準(zhǔn)版)
- 2025年年輕人生活方式洞察報(bào)告-海惟智庫
- 2026昆山鈔票紙業(yè)有限公司校園招聘15人備考題庫及1套完整答案詳解
- 2026年重慶市江津區(qū)社區(qū)專職人員招聘(642人)考試參考題庫及答案解析
- 統(tǒng)編版(2024)七年級上冊道德與法治期末復(fù)習(xí)必背知識點(diǎn)考點(diǎn)清單
- 新華資產(chǎn)招聘筆試題庫2026
- 造口常用護(hù)理用品介紹
- 小米銷售新人培訓(xùn)
- (新教材)2025年秋期部編人教版二年級上冊語文第七單元復(fù)習(xí)課件
- 銀行安全保衛(wèi)基礎(chǔ)知識考試試題及答案
- 明框玻璃幕墻施工方案
評論
0/150
提交評論