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SAP Enterprise Information ManagementOverview and RoadmapPaul MedailleMarch, 2016

SAP Analytics – Overview WebinarsSAP Analytics – OverviewJayne LandryMar 16SAP BI – Overview & RoadmapOlivier Duvelleroy /Saurabh AbhyankarMar 23SAP EPM – Overview & RoadmapKirk AndersonMar 24SAP EIM – Overview & RoadmapPaul MedailleMar 30SAP Predictive Analytics – Overview &RoadmapSven BauszusMar 31SAP GRC – Overview & RoadmapKevin McCollomApr 13 2016 SAP SE or an SAP affiliate company. All rights reserved.Public2

SAP Analytics Portfolio - BI Solutions 1/2Crystal Reports; Nina Bao / Donald GuoMar 291ReportingIntro by Merlijn Ekkel2Adopting BI 4.1 /4.2Merlijn Ekkel3What‘s new in BI 4.2Merlijn Ekkel4Analytics ServicesPortfolioMarkus SchunterApr 125Self Service BIIna FelsheimApr 14Web Intelligence Gregory BotticchioApr 5Apr 7Lumira; Francois Imberton6Discovery & Analysis 2016 SAP SE or an SAP affiliate company. All rights reserved.Intro by Saurabh AbhyankarApr 20Pred. Analytics, Pierpaolo VezzosiPublic3

SAP Analytics Portfolio - BI Solutions 2/2Cloud for AnalyticsApr 217BI CloudTy Miller8Office IntegrationAlexander PeterBI for Office /Analysis for Office & LiveOfficeApr 279Dashboards & AppsIan Mayor / David StockerDesign Studio & DashboardsApr 2810BI platformMaheshwar SinghMay 311Big DataAngela HarveyMay 1112MobileReena SethyMay 12 2016 SAP SE or an SAP affiliate company. All rights reserved.BI in the CloudPublic4

SAP Analytics Portfolio – Predictive Analytics deep divesSAP Predictive AnalyticsLaurent TessierDate tbdSAP Predictive AnalyticsWhy massive modeling is important?Hervé KauffmannDate tbdSAP Predictive Analytics - Roadmap sessionWhat’s new & what’s nextAshish MorzariaDate tbdPredictive Data PreparationAbdel DadoucheDate tbdSAP Predictive AnalyticsHow to become a data scientist in no timeAshish MorzariaDate tbdAn automated process, a technological breakthrough toproduce predictive results in operational IT environments 2016 SAP SE or an SAP affiliate company. All rights reserved.Public5

2016 SAP SE or an SAP affiliate company. All rights reserved.No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company.SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliatecompany) in Germany and other countries. Please see ht/index.epx for additional trademark information and notices.Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors.National product specifications may vary.These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP SE or itsaffiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE or SAP affiliate company products andservices are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed asconstituting an additional warranty.In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to developor release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible futuredevelopments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any timefor any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forwardlooking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to placeundue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions. 2016 SAP SE or an SAP affiliate company. All rights reserved.Public7

Introduction to EIM

Companies that can unlock value of information from data arewinningMobileBig Data andInternet of ThingsInformation101001011001Social0101101001Ready forActionCloud 2016 SAP SE or an SAP affiliate company. All rights reserved.Public10

SAP solutions for enterprise information managementInformation ready for actionAnalyticsBusiness Master DataManagementGOVERNBig Data & ement0101101001Information LifecycleManagement 2016 SAP SE or an SAP affiliate company. All rights reserved.Public11

EIM for Analytics

SAP PowerDesignerCaptureDesignCommunicateDefine current environmentDesign & plan for futureRealize impact of changeDocument Existing Systems“As-is” and “to-be” modelingGraphical, bi-directional understandingfrom architecture to executionDescribe the interactionStreamline implementationModel business & technical artifactswith related metadataGenerate ChangeCollaborateIntegrate all aspectsCentral repository to communicate,report and shareTie business & technical viewpointsacross the enterprise 2016 SAP SE or an SAP affiliate company. All rights reserved.Public13

Integrated Information, Business and Technology ArchitectureGlossary forUnifiedBusinessLanguageFullyIntegratedBusiness andTechnologyModelsEnterpriseModeling 2016 SAP SE or an SAP affiliate company. All rights reserved.ArchitectureImpactAnalysisApplication &TechnologyModelingAlignedBusiness &TechnicalModelingPublic14

Data Services and Information Steward For Data Warehousing andBusiness AnalyticsData Warehousing andBusiness IntelligenceProfilingApplication /Data SourcesData Quality MonitoringExtract, Cleanse, De-duplicateDW / DM /HANABI Platform Ensure right data into the DW for trusted BI EIM Solutions to integrate and harmonize data quickly, easily and accurately 2016 SAP SE or an SAP affiliate company. All rights reserved.Public15

SAP Data ServicesData Integration, Data Quality, Data Profiling and Text AnalyticsSAP Data ServicesSAP BWSAP BusinessSuiteOne consistent UISAP BusinessSuiteOracle appsbatch /real timeOne RuntimeArchitecture &ServicesETLSAPHANAbatch /real timeData QualityDatabasesText AnalyticsSourcesOne Administration Environment(Scheduling, Security, User Management)3Scale from single tomultiple servers for allvolumes of data4Support wide variety ofSAP and non-SAP targetsFilesWeb Services,JMS, XMLProfiling / Integration /Data Quality / Entity Extraction 2016 SAP SE or an SAP affiliate company. All rights reserved.Transform, cleanse, matchand consolidate dataDatabasesProfilingFiles /UnstructuredtextdocumentsWeb Services,JMS, XML2Oracle appsUnified MetadataSAPHANA1Access and Extractstructured andunstructured data, SAPand non-SAP, in batch orreal-timeSAP BWTargetsPublic16

SAP Data Services: Broadens Enterprise Data AccessLong history of providing connectivity to different sourcesDatabases HANA tablesviews Oracle DB2Applications SAP Bus Suite ExtractorsABAPBAPIIdocRFC Direct read Sybase ASE / IQ SAP NW BW SQL Server SAP Rep Server Informix SAP LT Rep Srvr MySQL SuccessFactors Teradata JD Edwards JDBC/ODBC Oracle Apps Netezza PeopleSoft HP Neoview Siebel MongoDB Salesforce.com Google Big Query HADOOP Hive 2016 SAP SE or an SAP affiliate company. All rights reserved.Files/Transport Text (delimited /fixedwidth) EBCDIC XML Cobol Odata Excel HTTP/HTTPSUnstructuredContentMainframe(with Partner) Extracts contextfrom any text orbinary file types(docs, pdfs,ppts ) ADABAS Understandscontext in 31languages IMS/DB ISAM VSAM Enscribe RMS Both direct andchanged data FTP/sFTP/SCP JMS Web Services WSDL, WADLSOAP, REST, JSONoData HADOOP - HDFSSAP Data Services Adapter Kit (SDK)simplifies building connectivity to anyapplications and Big Data sources VCF**Variant Call Format for storing gene sequence variations ESRI ShapefilePlease refer to https://service.sap.com/sap/support/pamPublic17

Best Native Access to SAP Business Suite ApplicationsOver 5,000 ContentExtractors certifiedBusiness contentNo ABAP codingDe-facto SAPinstead of native tablesInitial & delta loadsdata integrationSAP Business Suite(via ABAP, IDocs,BAPI, RFCs)SAP extractors(via Full Delta) FullyunderstandsSAPapplicationmodel andmetadataSAP Data Services Fully ableto leveragepre-builtSAPExtractorsSolution deployed within days instead of months by large CPG and Hi-tech customers 2016 SAP SE or an SAP affiliate company. All rights reserved.Public18

Native Extraction and Understanding of Unstructured TextAutomatically identify the entities, facts, and feelings hidden withinDATE2012 Toyota Highlander, 1G1JF27W8GJ178227. PolicyVEHICLE/LANDVEHICLE/VIN#456-788-99. 500 deductible. Insured are William Thomas Snowand Christine W. Snow. On 1/09/13, received via text message "InPOLICY NUMBER (CUSTOM)CURRENCYORGANIZATION/ COMMERCIALaccident! Need tow truck." and "Corner of Winter & Cross Rd". Dr.Snow slid through a stop on the snowy road and hit the stop sign.Significant damage to front of the car. He was unhappy at tow truckTIMEDAYNOUN GROUPFACILITY/PATHSENTIMENTresponse time. Contact wtsnow@medicalcenter.com or651.772.1234. Advance Appraisals Inc. to come out at 8:30amWEAK NEGATIVE SENTIMENTMAJOR PROBLEMPERSONMonday to make further assessment.REQUESTURL/EMAILPHONEWho, What, Where, When, How much, as well as Feelings 2016 SAP SE or an SAP affiliate company. All rights reserved.Public20

SAP Information StewardProfile, Assess, Monitor, and Manage Data Quality Across the EnterpriseSAP BusinessSuite1SAP BWSAPInformationStewardSAPHANAData profiling, metadatamanagement.Catalog data assets1.DiscoverBI systems4.Monitor2Define business terms, validationrules, cleansing rules and policies3Assess and Catalog data quality ofdata assets4Monitor data quality, to resolvediscovered issues2.DefineETL toolsDatabases3.AssessDelimited FilesData ModelingtoolsSources 2016 SAP SE or an SAP affiliate company. All rights reserved.Profile / MonitorPublic21

Data Lineage / Impact AnalysisInsights into data origins and data impactImpact Analysis for data impactData Lineage for data origins 2016 SAP SE or an SAP affiliate company. All rights reserved.Public25

Typical Complex Data LandscapeTraditional IT Landscapes compartmentalizedata and require too many moving partsTransactionsRedundant ETL!ETLAggregateOperationalSystems?Is Data Accurate? Fresh?Reliable?ETLMultiple Data SourcesETLStreamsStaging DB 2016 SAP SE or an SAP affiliate company. All rights reserved.Public27

Simplified Landscape with SAP HANASAP HANA Enterprise InformationManagement simplifies your datahandling Simplified landscapes, fewer moving parts Data management services built in to theplatform – consumable by partner and customerapplications One common modeling environment forprovisioning and consuming data Open and extensible– Supports any shape, size, style of dataintegration– Open framework for new data sources Accelerated in-memory performance 2016 SAP SE or an SAP affiliate company. All rights reserved.CurrentAccurateReliableDataPublic28

Information Management powered by SAP HANAAgile Data PreparationSAP HANA IM: Simplified landscape, lower TCO, inmemory speed, common metadata repository, integratedmodeling environment, simple UI, for cloud or on premise.SAP Agile Data Preparation: Self-service data preparationwith a consumer-grade UX, IT oversight, and full datastewardship.SAP HANA smart data integration: Supports real-timereplication, physical bulk/batch data movement, andfederation in a unified framework. Support for both onpremise and cloud sources, with built-in adapters forcommon sources and an open and easily extensible SDKfor ecosystem to offer custom adapters. 2016 SAP SE or an SAP affiliate company. All rights reserved.Sold together as SAPHANA InformationManagement OptionSAP HANA smart data quality: Address informationmanagement requirements (cleanse, match, best record,metadata and semantics, enrichment, etc.) with in-builtHANA services; put the power to manage data within theplatform and made accessible to the application.Public29

Data Preparation is Challenging and Time-ConsumingToday:Data PreparationAnalysisBusiness analysts and data scientistsspend most of their time on datapreparation activities: Discovery Data Profiling AnnotatingPublish/Share Transformation De-duplication Modeling Cleansing Curation EnrichmentThis has created the need for end-user oriented tools that can shorten the overall time fordata preparation and improve the productivity of data scientists and business analystsWith Self-serviceData pted from “Self-Service Data Preparation: The Next Big Market Disruption,” Rita Sallam, Gartner, March 2015 2016 SAP SE or an SAP affiliate company. All rights reserved.Public30

SAP Agile Data PreparationPowered by Smart Data Integration/Smart Data QualityAgile Data Preparation:SAP Agile Data PreparationConsumer grade application that allows users toimport, profile, merge, cleanse, de-duplicate andenrich any type of data to prepare for analysis in BItools (Lumira, Tableau, Qlik, etc.). Gartner estimatesthat data analysts spend up to 80% of their time ondata preparation.Available on premise, and (soon) in the cloud;enables groups from teams to enterprises to takecontrol of their data assets without IT bottleneck.See a video demo at:5 minute demo of SAP Agile Data Preparation 2016 SAP SE or an SAP affiliate company. All rights reserved.Available on premise and in the cloud!Public31

Harvest Content Generated by Business Users - Promote toEnterprise Integration and GovernanceIs Time to Insight More Important Than Data Quality?NoYesTraditional Data Integration andGovernanceAd Hoc or Recurring Analysis?RecurringAd HocMultiple and FrequentlyChanging Sources?Self-Service Data PreparationNoPromote Self-Service Model toEnterprise IntegrationAdapted from “Self-Service Data Preparation: The Next Big Market Disruption,” Rita Sallam, Gartner, March 2015 2016 SAP SE or an SAP affiliate company. All rights reserved.Metadata, Data Lineage, Auditability are key.YesSelf-Service Data Preparationwith Governance Rules ADP Capability/Use casePublic32

EIM Roadmap

Legal disclaimerThe information in this presentation is confidential and proprietary to SAP and may not be disclosed without thepermission of SAP. This presentation is not subject to your license agreement or any other service orsubscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in thisdocument or any related presentation, or to develop or release any functionality mentioned therein. Thisdocument, or any related presentation and SAP's strategy and possible future developments, products and orplatforms directions and functionality are all subject to change and may be changed by SAP at any time for anyreason without notice. The information in this document is not a commitment, promise or legal obligation todeliver any material, code or functionality. This document is provided without a warranty of any kind, eitherexpress or implied, including but not limited to, the implied warranties of merchantability, fitness for a particularpurpose, or non-infringement. This document is for informational purposes and may not be incorporated into acontract. SAP assumes no responsibility for errors or omissions in this document, except if such damages werecaused by SAP s willful misconduct or gross negligence.All forward-looking statements are subject to various risks and uncertainties that could cause actual results todiffer materially from expectations. Readers are cautioned not to place undue reliance on these forward-lookingstatements, which speak only as of their dates, and they should not be relied upon in making purchasingdecisions. 2016 SAP SE or an SAP affiliate company. All rights reserved.Public34

SAP EIM roadmap themesProductStrategyDynamic governance, simplify, self-service and streamline EIMSimpleSelf-ServiceDynamicGovernanceEasy User ExperienceEmpower UsersConfigurable – AdaptableCompact Technology StackBusiness OwnershipPolicy ManagementComplete IntegrationPersonalized ReportsLOB-centricSMARTAgile Quick Sharp Effective 2016 SAP SE or an SAP affiliate company. All rights reserved.Public35

Simplify Expanded use of Fiori UI technology allowing for more flexibleand mobile enabled consumption Expanded and automated hierarchy management capabilities Tight integration across all EIM capabilities – e.g. ETL; DQ;consolidation and governance; publishing; archiving On premise and cloud integration and support across yourlandscape 2016 SAP SE or an SAP affiliate company. All rights reserved.Public36

Self-service Enable self-service data preparation for the business Enable data stewards to collaborate, assess, define, monitor,remediate and improve DQ Expanded SAP Smart Business analytical capabilities Flexibility to drill in and filter on Information Stewardscorecards DQ dashboards based on SAP HANA rules framework –easier rules management 2016 SAP SE or an SAP affiliate company. All rights reserved.Public37

Dynamic governance Governance and consolidation capabilities integrated on oneSAP Master Data Governance platform Project to enterprise and enterprise to project policymanagement– Information policy management– Business user driven configuration of master data consolidation Expanded industry content and scenario enablement, e.g.Enterprise Asset Management 2016 SAP SE or an SAP affiliate company. All rights reserved.Public38

SAP EIM RoadmapExisting EIM solutions SAP intends to continue offering existing EIMsolutions to protect your investment SAP intends to continue enhancing existing EIMsolutions to meet market needsSAP HANA EIM solutions SAP provides a modern, in-memory platform forinformation management capabilities SAP intends to continue to enhance and add newcapabilities driven by customer needs SAP intends to offer new applications (e.g. SAP AgileData Preparation) for the cloud and on-premise basedon the HANA EIM capabilities 2016 SAP SE or an SAP affiliate company. All rights reserved.Public39

EIM roadmap summaryInnovation without disruption SAP will bring you to the future at your pacefor both HANA and Cloud Existing products enhanced alongside newplatform developmentBetter value to the business Simplicity and tight integrationwith industry and applicationofferings Built on our deep understandingof business processes 2016 SAP SE or an SAP affiliate company. All rights reserved.Comprehensive EIM Solutionsfor on premise and Cloud Data in any style, shape, anddelivery mode Information governance end-to-endPublic40

Appendix: Product RoadmapsFor complete product roadmaps please see https://service.sap.com/roadmaps

SAP Analytics -Overview SAP BI -Overview & Roadmap Olivier Duvelleroy / Saurabh Abhyankar Kirk Anderson Jayne Landry Mar 16 Mar 23 SAP EPM -Overview & Roadmap Mar 24 SAP EIM -Overview & Roadmap Paul Medaille Mar 30 Sven Bauszus Mar 31 SAP Predictive Analytics -Overview & Roadmap SAP GRC -Overview & Roadmap Kevin McCollom Apr 13