WIXLIB

Enterprise AnalyticsAccelerating Your Path to Value with anOpen Analytics PlatformFederico Pozzi@fedealbpozziMathias Coopmans@macoopmaCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Characteristics of a badly managed platform No clear data ownershipLack of board level support for fact based decisioningLow trust from end users in dataSecurity leaksCopies of copies of copies of the same dataUnclear process for accessing dataMultitude of end user toolsNo clear alignment between business and ITLack of process to guarantee privacy of data .Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Why now ?Access to Technology Cheap / Free Digitalisation Innovation Cloud adoption Big Data Revolution Regulation (GDPR)CostEthicsCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

The seven traits of a modern analytical platformCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Process supports the analytical lifecycle1Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Visual Interfaces in SAS ViyaCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

SAS Enterprise DecisionManagement at a GlobalFinancialServices Firm: Enabling MoreRapid Implementation ofDecision Models into ProductionCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Engines for processing data in-memory, in-databaseand real-time streamingEVENT STREAMPROCESSINGSOURCE DATASensor Data/Smart DeviceTelemetryNativeConnectivity&WebServicesERP / IS AppWeb DataIn-Stream SensorData Management Data Cleansing Thresholds Model & Pattern Aggregation QueriesDatabasesRouters, switches2BATCH DATANativeConnectivity&WebServicesBatch or Mini-BatchData Management Data Access Data Cleansing Data Preparation Data AggregationReal Time Processing Data/Low Latency AlertingMODEL DEVELOPMENT &MANAGEMENTIN-MEMORY ANALYTICSSERVERDashboard/Alerts Machine LearningOptimizationData MiningForecastingStatistical AnalysisReliability ModelingSimulationModel building OPCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.Mobile Dashboard/AlertsVisualization &ModellingWorkflows/Decision Management

New Landscape - New NeedsAct FasterBigger DataVolume Velocity VarietyReduced time to decision and actionImmediate low latency answersContinuously evaluate opportunities and risksMore agile, more responsiveCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Real Time MarketingCommunicationsFraud DetectionCyber SecurityCross-industryapplicabilityand valueIT OperationsIndustry, EnergyHealth CareStreaming AnalyticsCapital MarketsManufacturingSupply ChainEnterprise DecisionsCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Smart Cities and HomesConnected ManagementOFConnected anufacturingHealthcareRetailCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Analytics LifecycleTraditional Analytics LifecycleDataData StorageETLDeployAlerts - ReportsDecisioningStreaming DataAccess - Store - AnalyzeCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Analytics LifecycleStream – Understand – ActDataData StorageDeployETLStreaming DataDeployStoreEnrichAlerts - ReportsDecisioningStreaming Model ExecutionCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

SAS Event Stream ProcessingEngineered For Fast And Adaptive ActionDataData StorageDeployETLStreaming DataDeployStoreEnrichAlerts - ReportsDecisioningSAS Event Stream ProcessingApply high end analytics on event streamsOffline, data at rest identifies emerging trendsPattern detection at event stream sourceDynamically update models into live streamCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

The platform is scalable and can grow3Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

The SAS platform architecture-stripped downMicroservicesIn-MemoryEngineData MgmtGUIsData SourceMgmtUAAUAABIGUIsQueryGenCAS MgmtUAAEnvMgrFoldersLogetc AnalyticsGUIsCloud AnalyticServices (CAS)ModelMgmtAuditViya CoreCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

SAS Viya Single Machine DeploymentSingle Machine DeploymentSAS Viya 3.2Web ApplicationsCAS ControllerSAS ObjectSpawnerSAS StudioSAS ConfigurationServerApache HTTPServerCAS ServerMonitorSAS DataConnectorSAS WorkspaceServerEmbedded WebApplication ServerMicroservicesSAS InfrastructureData ServerSAS MessageBrokerSAS/CONNECTServer & SpawnerSystem ServicesLinux x64 onlyCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

SAS Viya Multi-Machine DeploymentDistributed CASDistributed SAS Cloud Analytic Services DeploymentSAS Viya 3.2SAS Cloud Analytic ServicesCAS ControllerCAS WorkerCAS ControllerCAS WorkerCAS ServerMonitorSAS DataConnectorSAS ObjectSpawnerSAS WorkspaceServerSAS StudioEmbedded WebApplication ServerSAS/CONNECTServer & SpawnerSAS DataConnectorWeb ApplicationsLinux x64 onlyApache HTTPServerLinux x64 onlyMicroservicesCAS WorkerCAS WorkerCAS WorkerCAS WorkerSAS DataConnectorSAS DataConnectorSAS ConfigurationServerSAS InfrastructureData ServerSAS MessageBrokerSystem ServicesLinux x64 onlyLinux x64 onlyLinux x64 onlyCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

The SAS platform architectureIn-StreamIn-HadoopIn-DatabaseParallel & Serial, Pub / Sub,Web Services, Data MgmtGUIsBIGUIsData SourceMgmtUAAUAAQueryGenCAS MgmtUAAEnvMgrFoldersLogetc AnalyticsGUIsCloud AnalyticServices (CAS)ModelMgmtAuditViya CoreData PlatformsPlatformCloud & ContainersGoogleCloudPlatformCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Access to a variety of data sources4Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Sas & hadoopUserInterface SAS UserSAS DataManagementSAS EnterpriseMiner SAS StudioMetadataDataAccessDataProcessingSAS Visual AnalyticsSAS Visual StatisticsSAS econometricsSAS Visual ForecastingSAS MetadataBase SAS & SAS/ACCESS to Hadoop &Impala & sData AccessSAS EmbeddedImpalaSAS Cloud AnalyticsServicesProcessHawkMap ReduceFileSystemSAS Visual DataMining and machinelearningYARNHDFSCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

A variety of analytical tools available tosupport a range of end user needs5Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

The SAS platform eParallel & Serial, Pub / Sub,Web Services, MQsIn-StreamCustomer ata MgmtGUIsData SourceMgmtUAAUAABIGUIsQueryGenRisk ManagementSolutionsEnvMgrFoldersLogetc AnalyticsGUIsCloud AnalyticServices (CAS)ModelMgmtAuditAPIsViya CoreDevelopersData PlatformsPlatformCloud & ContainersGoogleCloudPlatformCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.Business Visualization!Fraud and Security Data ManagementIntelligenceCAS MgmtUAAAnalytics

Open-source connectivity Run R & Python from IDE eg Jupyter GIT sassoftware/python-swat package(SAS Scripting Wrapper for AnalyticsTransfer (SWAT)) GIT sassoftware/R-swatCASSAS ViyaCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Language versus actionsAn Exampleproc print data hmeq (obs 10);run;WorkersAPIsControllerdf s.CASTable(‘hmeq’)df.head(10)Translated Action[table.fetch]table.name “hmeq”from 1 to 10df - defCasTable(s, ‘hmeq’)head(df, 10)Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

A shared services operating modelSharedDecentralisation Higher costs Variable Standards Different ControlEnvironments Duplications ofEfforts6 Business Unitsretain Control Recognition ofLocal Priorities Lean, Flat Organisation Independent ofBusinesses Identification ofEfficiencies betweenBusiness Units Understanding ofGroup Functionsand Missions Dissemination ofBest PracticesCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.Centralised CommonSystems &Support EfficientKnowledgeTransfer,Standards& Tools Economiesof Scale Unresponsive No Business Unitcontrol of CentralOverhead Costs Inflexible toBusiness UnitNeeds Disconnect fromBusiness Units

A governed environment, with room forexperimentation IT governance Data governance Analytic governance7Big Data LabAnalytics FactoryCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

The seven traits of a modern analytical platformProcess supports the analytical lifecycle2. Engines for processing data in-memory, in-databaseand real-time streaming3. The platform is scalable and can grow4. Access to a variety of data sources5. A variety of analytical tools available to support a rangeof end user needs6. A shared services operating model7. A governed environment, with room forexperimentation1.Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Going to and& festival ortechnology expedition?Download the and& summit app!Thank you for joining the thedata science jam sessions.Enjoy the networking drink & music!Copy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Thanks for your attentionCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

MATHIAS COOPMANSEmail: mathias.coopmans@sas.comMobile: 32 475 571 284@macoopmaCopy rig ht SA S Institute Inc. A ll rig hts re se rve d.

Impala & Hawk In-Memory Data Access SAS Data Management SAS Visual Analytics SAS Visual Statistics SAS econometrics SAS Visual Forecasting SAS Enterprise Miner SAS Studio SAS Cloud Analytics Services SAS Embedded Process SAS Visual Data Mining and machine learning YARN Pig Impala Hawk Hive Sas & hadoop Sqoop