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© 2013 IBM CorporationBig Data – wie aus Daten strategischeResourcen und Ihr Wettbewerbsvorteil werdenDr. Wolfgang Hildesh...
© 2013 IBM Corporation22 IBM Confidential“Data is the New Oil”2Harvesting any resource requires Mining, Refining and Deliv...
© 2013 IBM Corporation3234Five compelling Big Data use casesWhy IBM as your unique partner ?Recommendations on how to get ...
© 2013 IBM Corporation4The world is getting more …instrumented interconnected intelligent
© 2013 IBM Corporation5Up to10.000xmoreUp to 10.000xfastertraditional DataWarehouse undBusiness IntelligenceDataScaleVolum...
© 2013 IBM Corporation6Data at restTB-HB of existingmust be processedData in motion“Streaming” Daten,not all in storage,so...
© 2013 IBM Corporation7Every Industry can Leverage Big Data & AnalyticsInsurance• 360˚ View of Domainor Subject• Catastrop...
© 2013 IBM Corporation8Agenda for today34Five compelling big data use casesRecommendations on how to get startedWhat is Bi...
© 2013 IBM Corporation9IBM`s unique value for client success1 + 1+ 1 = 4SW + HW + Service = Solution
© 2013 IBM Corporation10• The platform enables starting small andgrowing without throwing away work• Shared components and...
© 2013 IBM Corporation11The warehousing & analytic environment of most organizations today• De-duplicated customer informa...
© 2013 IBM Corporation12The warehousing & analytic environment of most organizations todayHas a number of challenges & lim...
© 2013 IBM Corporation13How organizations use IBM Big Data to address these challenges•Data lineage & impact analysis•Data...
© 2013 IBM Corporation14IBM Big Data is the complete platform to support this evolutionODSODSWarehousingWarehousingWarehou...
© 2013 IBM Corporation15Landing &HistoricalZoneIngestion &Real-TimeAnalyticZoneAnalytic AppliancesIBM Big Data PlatformBI/...
© 2013 IBM Corporation16BI /ReportingBI /ReportingExploration /VisualizationFunctionalAppIndustryAppPredictiveAnalyticsCon...
© 2013 IBM Corporation17PureSystems Accelerate Delivery of Big Data Solutions (see booth below)Expert Integrated Systems f...
© 2013 IBM Corporation18IBM Smarter Analytics is a holistic approach that turns information intoinsight and insight into b...
© 2013 IBM Corporation19Agenda for today4Why IBM as your unique partner ?IBM’s unique value for client successRecommendati...
© 2013 IBM Corporation20NYSE Euronext improves datamanagement with Pure Datapowered by Netezza DWHNeed• Greater flexibilit...
© 2013 IBM Corporation21Constant Contact TransformingEmail Marketing CampaignEffectiveness with IBM Big DataCapabilities• ...
© 2013 IBM Corporation22Global aerospace manufacturerincreases knowledge workerefficiency and saves $36M annuallyNeedDelay...
© 2013 IBM Corporation23T-Mobile scales engineeringsuccess with Pure Data forAnalytics powered by NetezzaNeed• Provide lon...
© 2013 IBM Corporation24Battelle, helping reduce energycosts and enhancing power gridreliability and performanceNeed• Asse...
© 2013 IBM Corporation25Vestas optimizes capitalinvestments based on 2.5Petabytes of informationNeed• Model the weather to...
© 2013 IBM Corporation26TerraEchos uses streamingdata technology to supportcovert intelligence andsurveillance sensor syst...
© 2013 IBM Corporation27Agenda for todayWhy IBM as your unique partner ?Five compelling Big Data use casesRecommendations ...
© 2013 IBM Corporation28Are you driving new use cases, newcapabilities & competitivenesorare you driven ?
© 2013 IBM Corporation29IBM can help your organizations succeed with their big data initiatives© 2013 IBM CorporationCreat...
© 2013 IBM Corporation30How to learn more• For additional information including whitepapers and demos, please visit:• Big ...
© 2013 IBM Corporation31ibm.com/bigdata
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Big Data – wie aus Daten strategische Resourcen und Ihr Wettbewerbsvorteil werden_Wolfgang Hildesheim

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Transcript of "Big Data – wie aus Daten strategische Resourcen und Ihr Wettbewerbsvorteil werden_Wolfgang Hildesheim"

  1. 1. © 2013 IBM CorporationBig Data – wie aus Daten strategischeResourcen und Ihr Wettbewerbsvorteil werdenDr. Wolfgang HildesheimBig Data EuropeMay 7th 2013
  2. 2. © 2013 IBM Corporation22 IBM Confidential“Data is the New Oil”2Harvesting any resource requires Mining, Refining and DeliveringBig Data is the next Natural Resource“We have for the first time an economybased on the key resource “Information”that is not only renewable, but self-generating.”
  3. 3. © 2013 IBM Corporation3234Five compelling Big Data use casesWhy IBM as your unique partner ?Recommendations on how to get startedAgenda for todayIBM’s viewpoint on big data and analyticsWhat is Big Data ?1
  4. 4. © 2013 IBM Corporation4The world is getting more …instrumented interconnected intelligent
  5. 5. © 2013 IBM Corporation5Up to10.000xmoreUp to 10.000xfastertraditional DataWarehouse undBusiness IntelligenceDataScaleVolumeyear month week day hr min sec … msHexaPetaTeraGigaMegaKiloVelocity Expected time of decisionoccasionally frequently In realtimeData in motionDataatrestBig Data offers new strategic business casesCommercials/ CrossSellingvia mobile phones100,000 entries/sec, 6 billions/day10 ms/ decisions, Deep AnalyticsDeepQA100s GB für Deep Analytics3 sec/decisioninstrumentedinterconnectedintelligentoccasionally frequently In realtime Are you driving new use cases and newcapabilities or are you driven ?
  6. 6. © 2013 IBM Corporation6Data at restTB-HB of existingmust be processedData in motion“Streaming” Daten,not all in storage,sometimes decision inmsec neededData withmultiple formatsStructured,unstructured, text,multimediaData fuzzy & cloudyReliability of data:outdated, uncompleteconflicting, latent, ironic,illucive, wrongVolume Velocity Variety VeracityBig Data – What is it ?Volume + Velocity +Variety + Veracity [ Work with all 4V`s = IBM Big Data]BigClassic AppsReal-timeM2MUnstructuredEnterprise DocsQualitySocial Media
  7. 7. © 2013 IBM Corporation7Every Industry can Leverage Big Data & AnalyticsInsurance• 360˚ View of Domainor Subject• Catastrophe Modeling• Fraud & Abuse• Producer PerformanceAnalytics• Analytics SandboxBanking• Optimizing Offers andCross-sell• Customer Service andCall Center Efficiency• Fraud Detection &Investigation• Credit & CounterpartyRiskTelco• Pro-active Call Center• Network Analytics• Location BasedServicesEnergy &Utilities• Smart Meter Analytics• Distribution LoadForecasting/Scheduling• Condition BasedMaintenance• Create & TargetCustomer OfferingsMedia &Entertainment• Business processtransformation• Audience & MarketingOptimization• Multi-ChannelEnablement• Digital commerceoptimizationRetail• Actionable CustomerInsight• MerchandiseOptimization• Dynamic PricingTravel &Transport• Customer Analytics &Loyalty Marketing• Predictive MaintenanceAnalytics• Capacity & PricingOptimizationConsumerProducts• Shelf Availability• Promotional SpendOptimization• MerchandisingCompliance• Promotion Exceptions& AlertsGovernment• Civilian Services• Defense & Intelligence• Tax & TreasuryServicesHealthcare• Measure & Act onPopulation HealthOutcomes• Engage Consumers intheir HealthcareAutomotive• Advanced ConditionMonitoring• Data WarehouseOptimization• Actionable CustomerIntelligenceLife Sciences• Increase visibility intodrug safety andeffectivenessChemical &Petroleum• Operational Surveillance,Analysis & Optimization• Data WarehouseConsolidation, Integration& Augmentation• Big Data Exploration forInterdisciplinaryCollaborationAerospace &Defense• Uniform InformationAccess Platform• Data WarehouseOptimization• Airliner CertificationPlatform• Advanced ConditionMonitoring (ACM)Electronics• Customer/ ChannelAnalytics• Advanced ConditionMonitoring
  8. 8. © 2013 IBM Corporation8Agenda for today34Five compelling big data use casesRecommendations on how to get startedWhat is Big Data ?Five compelling Big Data use cases12 Why IBM as your unique partner ?
  9. 9. © 2013 IBM Corporation9IBM`s unique value for client success1 + 1+ 1 = 4SW + HW + Service = Solution
  10. 10. © 2013 IBM Corporation10• The platform enables starting small andgrowing without throwing away work• Shared components and integration betweensystems lowers deployment cost, time and riskBI /ReportingBI /ReportingExploration /VisualizationFunctionalAppIndustryAppPredictiveAnalyticsContentAnalyticsAnalytic ApplicationsIBM Big Data PlatformSystemsManagementApplicationDevelopmentVisualization& DiscoveryAcceleratorsInformation Integration & GovernanceHadoopSystemStreamComputingDataWarehouseThe IBM Big Data Platform Advantage
  11. 11. © 2013 IBM Corporation11The warehousing & analytic environment of most organizations today• De-duplicated customer information• Reference data & cross-system mappings• De-duplicated customer information• Reference data & cross-system mappings• Data lineage & impact analysis• Data privacy & security• Data lineage & impact analysis• Data privacy & securityODSODSWarehousingWarehousing• High-concurrencyhistorical queriesWarehousingMaster Data ManagementODSData IntegrationAnalytics and Reporting Zone• Repeatable work• Analytic sandboxesMartsEDWBatchreportingDescriptive& predictivemodelsreportingsearch &discoveryData Security & GovernanceMetadata RepositoryBusinessResultsMasteraata Repository
  12. 12. © 2013 IBM Corporation12The warehousing & analytic environment of most organizations todayHas a number of challenges & limitations• De-duplicated customer information• Reference data & cross-system mappings• De-duplicated customer information• Reference data & cross-system mappings• Data lineage & impact analysis• Data privacy & security• Data lineage & impact analysis• Data privacy & securityODSODSWarehousingWarehousing• Batch (daily) movement• Only structured data • Limited history• Granular data• Limited granularity• Expensive to change• High-concurrencyhistorical queriesWarehousingMaster Data ManagementODSData IntegrationAnalytics and Reporting Zone• Repeatable work• Analytic sandboxesMartsEDWBatchreportingDescriptive& predictivemodelsreportingsearch &discoveryData Security & GovernanceMetadata RepositoryBusinessResultsMasteraata RepositorybatchunflexibleSilooriented
  13. 13. © 2013 IBM Corporation13How organizations use IBM Big Data to address these challenges•Data lineage & impact analysis•Data privacy & security•Data lineage & impact analysis•Data privacy & securityODSODSWarehousingWarehousing• High-concurrencyhistorical queriesWarehousingMaster Data ManagementODSData IntegrationAnalytics and Reporting& Action ZoneEDWBatchreportingDescriptive& predictivemodelssearch &discoveryData Security & GovernanceMetadata RepositoryIngestion & Real-Time Analytic ZoneLanding & Historical ZoneHistorical RepositoryAnalytic AppliancesQuicklyFindingAnswersConnectorsPersonalCustomerExperience/ ReducedLossesMicro-SegmentTargeting /PreciseResultsRight-TimeCustomerInteraction/ LossPreventionBusinessResultsreporting
  14. 14. © 2013 IBM Corporation14IBM Big Data is the complete platform to support this evolutionODSODSWarehousingWarehousingWarehousingMaster Data ManagementODSData IntegrationAnalytics and Reporting& Action ZoneBatchreportingData Security & GovernanceBusinessResultsIngestion &Real-TimeAnalyticZoneLanding &Historical ZoneAnalytic AppliancesConnectorsStreamComputingHadoopSystemDataWarehouseInformation Integration & GovernanceSystemsManagementApplicationDevelopmentVisualization& DiscoveryBI/ReportingExploration/VisualizationFunctionalAppIndustryAppPredictiveAnalyticsContentAnalyticsAnalyticApplications
  15. 15. © 2013 IBM Corporation15Landing &HistoricalZoneIngestion &Real-TimeAnalyticZoneAnalytic AppliancesIBM Big Data PlatformBI/ReportingExploration/VisualizationFunctionalAppIndustryAppPredictiveAnalyticsContentAnalyticsAnalyticApplicationsAcceleratorsVisualization& DiscoveryApplicationDevelopmentSystemsManagementHadoopSystemStreamComputingDataWarehouseInformation Integration & GovernanceIBM Big Data is the complete platform to support this evolution
  16. 16. © 2013 IBM Corporation16BI /ReportingBI /ReportingExploration /VisualizationFunctionalAppIndustryAppPredictiveAnalyticsContentAnalyticsAnalytic ApplicationsIBM Big Data PlatformSystemsManagementApplicationDevelopmentVisualization& DiscoveryAcceleratorsInformation Integration & GovernanceHadoopSystemStreamComputingDataWarehouseThe IBM Big Data Platform Advantage• The platform enables starting small andgrowing without throwing away work• Shared components and integration betweensystems lowers deployment cost, time and risk• Key points of leverage• Accelerators to address common use cases• Proven integration technology• Common analytic engines (i.e. text analytics)• Common metadata, integration design andgovernance across components
  17. 17. © 2013 IBM Corporation17PureSystems Accelerate Delivery of Big Data Solutions (see booth below)Expert Integrated Systems for Big DataFor HadoopOptimized system to accelerateanalytics on big data and onlinearchive with appliance simplicityFor AnalyticsOptimized system deliveringdata services for analytics and reportingFor Operational AnalyticsOptimized system deliveringdata services for operational analyticsBIG DATA PLATFORM
  18. 18. © 2013 IBM Corporation18IBM Smarter Analytics is a holistic approach that turns information intoinsight and insight into business outcomes: service for Big Data projectsfrom solutions that getsmarter with every outcomethrough analytics forbreakaway resultswith confidence at the point ofimpact to optimize outcomessee, predict and shapebusiness outcomesyour organizationaround informationAlignAlignAlignAlign AnticipateAnticipateAnticipateAnticipate ActActActActTransformTransformTransformTransformLearnLearnLearnLearn
  19. 19. © 2013 IBM Corporation19Agenda for today4Why IBM as your unique partner ?IBM’s unique value for client successRecommendations on how to get startedWhat is Big Data ?Five compelling Big Data use cases123
  20. 20. © 2013 IBM Corporation20NYSE Euronext improves datamanagement with Pure Datapowered by Netezza DWHNeed• Greater flexibility to meet market demands• Reduce the time taken to access business-critical data on its network, which was taking26 hours• The previous Oracle system trawled throughlarge amounts of irrelevant information tocomplete searchesBenefits• Ability to conduct rapid searches of 650 TB ofdata; storing over 1 PB on Netezza• Time to access business-critical data reducedfrom 26 hours to 2 minutesData Warehouse AugmentationVolumeVelocity
  21. 21. © 2013 IBM Corporation21Constant Contact TransformingEmail Marketing CampaignEffectiveness with IBM Big DataCapabilities• InfoSphere BigInsights, IBM PureData forAnalytics – powered by Netezza technology,Cognos BINeed• Analyze 35 billion annual emails to guidecustomers on best dates & times to send emailsfor maximum responseBenefits• 40 times improvement in analysis performance• 15-25% performance increase in customer emailcampaigns• Analysis time reduced from hours to secondsData Warehouse AugmentationVolumeVelocityVariety
  22. 22. © 2013 IBM Corporation22Global aerospace manufacturerincreases knowledge workerefficiency and saves $36M annuallyNeedDelays in fixing maintenance issues areexpensive and potentially incur financialpenalties for out-of-service equipmentIncrease the efficiency of its maintenance andsupport technicians, support staff andengineersBenefitsSupporting 5,000 service representativesEliminated use of paper manuals that werepreviously used for researchPlaced more than 40 additional airplanes intoservice without more support staffReduced call time by 70%(from 50 min to 15 min)© 2013 IBM CorporationBig Data ExplorationVolumeVelocityVariety
  23. 23. © 2013 IBM Corporation23T-Mobile scales engineeringsuccess with Pure Data forAnalytics powered by NetezzaNeed• Provide longer retention and more meaningfulresults for click stream dataBenefits• Reduce tax and call-routing fees by using thedata stored to defend against false claims• Acquire dropped-call and churn-reductionanalysis capabilities• Increase network availability by identifying andfixing any network “holes”• Storage capacity increased from 100 TB to 2 PB23Operation Analysisof Telecom networkVolumeVariety
  24. 24. © 2013 IBM Corporation24Battelle, helping reduce energycosts and enhancing power gridreliability and performanceNeed• Assess the viability of one smart gridtechnique called transactive controlBenefits• Engages consumers and responsive assetsthroughout the power system to help optimizethe system and better integrate renewableresources• Provides the capability to analyze and gaininsight from up to 10 PB of data in minutes• Increases grid efficiency and reliability throughsystem self-monitoring and feedback• Enables a town to avoid a potential poweroutage24Operation Analysisof utility network“SMART GRID”VolumeVelocity
  25. 25. © 2013 IBM Corporation25Vestas optimizes capitalinvestments based on 2.5Petabytes of informationNeed• Model the weather to optimize placement ofturbines, maximizing power generation andlongevityBenefits• Reduce time required to identify placementof turbine from weeks to hours• Reduces IT footprint and costs, anddecreases energy consumption by 40 % --while increasing computational power• Incorporate 2.5 PB of structured and semi-structured information flows. Data volumeexpected to grow to 6 PB25Business SimulationVolumeVelocityVariety
  26. 26. © 2013 IBM Corporation26TerraEchos uses streamingdata technology to supportcovert intelligence andsurveillance sensor systemsNeedDeployed security surveillance system todetect, classify, locate, and track potentialthreats at highly sensitive national laboratoryBenefitsReduced time to capture and analyze 275MBof acoustic data from hours to one-fourteenthof a secondEnabled analysis of real-time data fromdifferent types of sensors and 1,024 individualchannels to support extended perimetersecurityEnabled a faster and more intelligentresponse to any threat© 2013 IBM CorporationSecurity/Intelligent ExtensionVolumeVelocity
  27. 27. © 2013 IBM Corporation27Agenda for todayWhy IBM as your unique partner ?Five compelling Big Data use casesRecommendations on how to get startedWhat is Big Data ?Recommendations on how to get started1234
  28. 28. © 2013 IBM Corporation28Are you driving new use cases, newcapabilities & competitivenesorare you driven ?
  29. 29. © 2013 IBM Corporation29IBM can help your organizations succeed with their big data initiatives© 2013 IBM CorporationCreate a business casewith measurable outcomesCreate a business casewith measurable outcomesBuild out capabilities basedon business prioritiesBuild out capabilities basedon business prioritiesDevelop enterprise-widebig data blueprintDevelop enterprise-widebig data blueprint25Commit initial efforts atcustomer-centric outcomesCommit initial efforts atcustomer-centric outcomes1Start with existing data toachieve near-term resultsStart with existing data toachieve near-term results43Recommendations Big Data ApproachesBusiness Value WorkshopBAO JumpstartBig Data Business CaseCIO, COO CEO, CRO workshopBusiness Value WorkshopBAO JumpstartBig Data Business CaseCIO, COO CEO, CRO workshopPOC or SolutionsSignature SolutionsBig Data Industry SolutionsPOC or SolutionsSignature SolutionsBig Data Industry SolutionsBig Data FoundationAnalytics Infrastructure ReadinessBig Data Maturity Model/AssessmentBig Data FoundationAnalytics Infrastructure ReadinessBig Data Maturity Model/AssessmentFunctional BVAs or POCCustomer Analytics DiagnosticPredictive Analytics DiagnosticSupply Chain AnalyticsFunctional BVAs or POCCustomer Analytics DiagnosticPredictive Analytics DiagnosticSupply Chain Analytics
  30. 30. © 2013 IBM Corporation30How to learn more• For additional information including whitepapers and demos, please visit:• Big Data Hub• Smarter Analytics• Reference:• Big Data for Smarter Decision Making by Colin White• Big Data Analytics - TDWI eBook• IBV Study - www.ibm.com/2012bigdatastudy• Education:• Social Media Analytics, YouTube video• Understanding Big Data ebook• Free online education at bigdatauniversity.com• Services:• Develop your Big Data strategy with help from IBM Global BusinessServicesInvite Big Data expert to your account planning sessionContact Wolfgang Hildesheim (hildeshe@de.ibm.com) or Wolfgang Nimführ(Wolfgang.Nimfuehr@at.ibm.com) to identify the appropriate industry expert
  31. 31. © 2013 IBM Corporation31ibm.com/bigdata
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