SAP Leonardo Big Data

SAP Leonardo Big Dataand the Digital Platform for the Intelligent EnterpriseAhmet Engin TekinDirector, Global Customer Innovation – SAP5th July, 2018

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The Digital Era is evolving into The Intelligence EraMainframe & PCsClient Server & InternetCloud, Mobile & Big Data1960s – 1980s1990s - 2000s2000s - 2010sIntelligent Technologies2010s - 2020sENABLING TECHNOLOGIES Transistors & siliconrevolution Large scale MainframeComputing adoption Emergence of PC’s Plant floor automation Widespread PC adoption Broadband Internet ERP and businessprocess technologiesIndustrialAutomationBusiness ProcessAutomation Mobile & Smartphoneubiquity Cloud Computing Social Networks Big Data Machine learning (ML) andartificial intelligence (AI) Internet of things (IoT) anddistributed computing BlockchainCUSTOMER VALUE CREATION 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLICDigitalTransformationIntelligentEnterprise3

Intelligent enterprises elevate employees to focus on higher-value tasks 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC4

SAP Strategy – Deliver the Intelligent EnterpriseTHE INTELLIGENT ENTERPRISEfeatures 3 KEY COMPONENTS: 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL5

Intelligent Suite: Deliver intelligence across value chains 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL6

Intelligent Technologies: SAP Leonardo everywhere 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL7

Digital Platform: Unlock data-driven intelligence and innovationUnified data management to capturereal-time value from different types of dataSAP Data ServicesBest-in-class digital platform for new appdevelopment, extensions, and integrationDigitalPlatformMeta Data and lifecycle managementMarketplaceSmart data IntegrationSAP CP Big Data ServicesIntegration servicesSAP Data HubObject Store (S3, Swift )SAP HANASAP HANA EnginesSmart data accessOrchestration and governanceThird party (Spark/Hadoop)Streaming analyticsData Lifecycle ManagementSAP Vora distributed engines 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNALDataManagementCollaboration ServicesPortalSAP Cloud PlatformCloudPlatformMobile ServicesUX ServicesSAP API Business HubBig Data ServicesLeonardo IoT ServicesAPI ManagementAnalytics ServicesSecurity ServicesIntegration ServicesLeonardo ML Services8

SAP HANA Data Management Suite empowering SAP LeonardoPipelineOrchestrationData Store &ComputeIngest & RefineAssetsProducts InsightsGoods & EquipmentSupply NetworksFixed Asset InsightsManufacturing ExecutionManufacturing NetworksSAP HANA Data Management pleCustomMobile Asset InsightsLogistics SafetyLogistics NetworksBuilding InsightsConstructionEnergy GridsMarket InsightsRural AreasUrban AreasWork Health &Sports HomesCustom IoT/MLApplications andExtensionsSAP Data HubData Ingestion &OnboardingData DiscoveryVORADataGovernanceSAP HANA PlatformApplicationDevelopmentAdvanced AnalyticalProcessingData LakeData Integration &QualityDatabase ManagementBatchStreamingData Refinery &OrchestrationReplicationProcess DataIn-MemorySAP Big DataServicesSAP BW/4HANA PreBuilt SAP DataModels InfoObjects Modeling Tools forBusiness UsersRemote AccessSources 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL9

SAP BIG DATA SERVICES 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL10

Big Data Is Complex, It Gets More Complex As You ScaleGet Spark/Hadoop running and keep up to dateRun in production at scaleComplexityAcquire/install hardwareInstall and testnew software, toolsInfrastructureas-a-ServiceBig DataBootstrapUpgradeinfrastructureRebalance capacityDiagnose job problemsAdditional nodes neededBroken components and nodesResource contentionDeal with users’stack tracesJammed jobsHung jobsPerformance tuneIntegration problembetween toolsProcurement/Setup/ConfigurationHire administrator/Softwaresetup/ConfigurationTime 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL11

Big Data as a Service Removes Complexity, Makes Scaling Easy For YouMaking Big Data simpleAcquire/install hardwareGet Spark/Hadoop running and keep up to dateRun in production at scaleInstall and testnew software, toolsInfrastructureas-a-ServiceBig DataBootstrapUpgradeinfrastructureRebalance capacityDiagnose job problemsAdditional nodes neededBroken components and nodesJammed jobsResource contentionDeal with users’stack tracesHung jobsBig Data ServicesPerformance tuneIntegration problembetween toolsProcurement/Setup/ConfigurationHire administrator/Softwaresetup/ConfigurationIn no time 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL12

SAP Big Data Services : Big Data that just worksEnterprise-ready Hadoop and Spark fully managed by SAPFast time to valueEasier, faster scalabilityOperations supportLower TCOEnterprise readydays not monthswith elastic scalingso your jobs get donefor fast investment paybackfor business-critical applications“White-glove service for Hadoop at a self-service price” – Forrester 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL13

Customer Use Case - 1Marketing AnalyticsNeustar MarketShare DecisionCloud Attribution analysis: measure, predict, and improvethe impact of marketing on revenue Customers include retail, finance, hospitality,pharma, auto, and tech companies Massive, rapidly changing advertising data storedand analyzed in Hadoop 2.5 PB of data provisioned onSAP Cloud Platform Big Data Services 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL14

Customer Use Case - 1Marketing AnalyticsChallenges due to inefficiencies of previous platformSAP Cloud Platform Big Data Services Benefits Greater client satisfaction due to higherperformance and reliability More time to focus on analytics instead ofHadoop operations More effective resource allocation and costmanagement Increased solution competitivenessJob processing taking too longPoor service reliabilityProduct development hamperedService costs driven upNumber of customers limited50%10xLower CostPerformance 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL15

Customer Use Case - 1Built for PerformanceSuperior reliability and efficiency drive performanceBig Data-optimizedinfrastructure HDFS, not objectstorage Data locality No virtualizationoverhead Transparentlyelastic 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL16

Customer Use Case - 2Big Data Warehouse with HANA and BDSEnabling transparency between Retailers andVendors Provides technology and expertise for retailers, suppliersand distributors to improve collaboration through data,payments, and analytics. Customer network includes over 30,000 retail outlets andover 3,000 distributorsChallenges due to inefficiencies of previous platform Poor service reliability – User applications running slow ortiming out due to concurrency issuesData Velocity – Long nightly daily batch window. Oftencompleted during business hours.Why SAP ? Cost effective but also highly performant landscape : Use HANA for highperformance reporting requirements for customers & use SAP BDS tocollect and store high volume of data from 30.000 retail outlets Using Spark for the production pipeline will reduce the nightly batchwindow, thus business will be able perform analysis on the most recentdataBusiness units not having access to the most accurate andup-to-date information about their customersRising Maintenance costs 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL17

SAP DATA HUB 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL18

How to accelerate Smart Infrastructure Development ?Business Challenge Municipalities need to create a more “green” environment but don’tnecessarily have visibility to the most effective investment options and theinfrastructure required Grid Operators “know” energy production and consumption patterns & canrecommend where and what to invest on renewable energy Create new revenue streams by providing advisory services to Municipalitieson enabling “Green Cities”Solution Create a unified view of all customers, assets, energy consumption &production values , grid load, energy price data and other related datasetsacross the country Simulation capability on different renewable energy investment options usingMachine LearningHow to 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNALEasily combine datasets from multiple different systems : Customer & Energy Consumption (SAP Utilities) Assets and Capacity (SAP ERP and non-SAP CRM) Grid Load (Historian/Scada systems) Energy Pricing, Weather, Finedust data (online - opensources) Predict Future Grid Load by running a Machine Learning algorithm on the combineddata set Provide E2E monitoring on the overall process , quickly identify errors19

Modern LandscapesHow Big Data is Transforming cribeApplicationsBI/AnalyticsData WarehouseunionsData Integration (ETL, CDC, Data Quality)metadata extractionvalidationcleansingfilteringMachine LearningMicroservicesmatchingfeature extractionERP,CRM, etc. LegacyDBFilesHandling large volumes of data is not the main concern ETL or DWH are not the answeroEnable early insights on all levels of dataoData formats, granularity, streams & flexible structuresoEnsure integrated analytics across the enterpriseoApply logic to the data, not data to the logicoNot just on-premise but distributedoNot just batch but also real-time 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL20

SAP Data HubWhy is it Unique ?SAP Data Hub enables agile management of data in a diverse landscape across the organization.This enterprise-ready solution provides governance and orchestration for data refinement and enrichment,using pipelining of many complex data processing operations, like machine learning curityCentralized Viewof all data sourcesSeamless,Flexible, AgileData MovementScheduling,Monitoring, LifecycleManagementData Lineage,Metadata CatalogAuthorization, PolicyEnforcementScalabilityDeploymentflexibility, cloudscalability 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ INTERNAL21