Digital Transformation and Future of Analytics

Digital Transformation and Future of Analytics Tanuj Gupta, SAP July 20, 2017 CUSTOMER

SAP BW/4HANA The Next Generation Data Warehouse SAP BW 7.3 powered by SAP HANA SAP BW 7.4 powered by SAP HANA SAP BW 7.5 powered by SAP HANA SAP BW/4HANA Starter Add-on Performance optimization Simplification and Virtualization Simplification, HANA platform integration Big Data scenarios For SAP BW/4HANA customers only Use transfer tools to make system ready for SAP BW/4HANA Requires SAP BW 7.5 SP 4 or higher Introducing SAP BW/4HANA The Next Generation Data Warehouse Built for Cloud Logical Data Warehousing Internet of Things Integrates with Big Data 2012 2013 2015 2016+ 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 4

# Object Types SAP BW/4HANA Today Completely Simplified 30 25 20 15 InfoObject InfoCube InfoPackage Update Rule Transfer Rule MultiProvider Query + InfoSpoke ODS Object (DSO) InfoSet VirtualProvider APD + OpenHub Destination Transformation Data Transfer Process TransientProvider + CompositeProvider HybridProvider Semantic Part. Obj. Data Flow + DataStore Object (advanced) (New) CompositeProvider Open ODS View HANA Analysis Process 10 Simplified Object Types BW 1.2 BW 3.x BW 7.0 BW 7.3 BW 7.4 BW 7.5 BW/4HANA 1.0 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 5

SAP BW/4HANA Highlights 4 Design Principles Simplicity Simplified Data Structures Simplified Data Flows Data Lifecycle Management Openness Native SQL access Simplified Data Integration Consolidated Source Systems Modern Interface High Performance New Business User UX New Modeler UX New Administrator UX In-Memory Data Warehousing Algorithm Pushdown Advanced Analytics 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 6

SAP BW/4HANA Simplified Data Structures Classic SAP BW Number of modelling object types reduced from 10 to 4 No complex data structures (extended star schema) Field or InfoObject based modelling Virtualization 1 2 3 4 5 MultiProvider InfoSet CompositeProvider Virtual Provider Transient Provider 1 2 CompositeProvider Open ODS View Greater control of data persistency and virtualization Support for external, structured and unstructured data Persistency 6 7 8 9 10 InfoCube DataStore Object Hybrid Provider PSA Table InfoObject 3 4 Advanced DataStore Object InfoObject 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 7

SAP W/4HANA Data Lifecycle Management Scale SAP BW/4HANA using in-built data temperature management SAP HANA Master Node Slave 1 Slave 3 Extension Slave 1 Extension Slave 2 Extension Slave 3 SAP IQ / Hadoop Slave 2 Standby Hot SAP HANA in-memory Default Warm SAP HANA Extension Node By adso or partition Cold Near-line Storage By data time slice 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 8

SAP BW/4HANA Native SQL Access SAP BW/4HANA SAP HANA SAP BW/4HANA logic and data can be exposed to SAP HANA Query Composite Provider Open ODS adso InfoObject Automatically Generated Automatically Generated Automatically Generated Automatically Generated Automatically Generated Calculation View * Calculation View * Calculation View * Calculation View * Calculation View * Calculation View Calculation View HANA View / Table SQL access to front end tools * SAP BW/4HANA Generated HANA view Automatic generation of SAP HANA views allows: SQL logic on top of generated views Combined data from native SAP HANA SQL access for front-end tools Generated SAP HANA views are part of SAP BW/4HANA lifecycle and SAP BW/4HANA security 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 9

SAP BW/4HANA Simplified Source Systems Classic SAP BW SAP BW/4HANA 1 DB Connect Big Data All Sources SAP Sources/ Web Services 2 3 4 5 6 7 8 9 UD Connect SAP Data Services BAPI/Partner HANA Source System ODP Extractor (SAPI) BW Web Services * 1 2 3 HANA Source System Big Data** ODP Number of Source System Types reduced from 10 to 4 HANA Source System for all database connectivity ODP Source System for SAP backend systems and SLT File Source System Big Data Source System File Upload 10 File 4 File * Planned ** Connectivity to Spark (SQL) Destination already possible with the HANA Source System in BW 7.50 on HANA 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 10

SAP BW/4HANA Simplified Data Integration of Non-SAP Sources SAP BW/4HANA SAP HANA HANA Source System EIM Smart Data Integration (SDI) ODP Source System Leverages SAP HANA EIM to provide new data provisioning opportunities Replicate data in real-time (EIMreplication or SLT) Sources real-time replication direct access full/ delta loads Access data virtually Adapter ASE, ECC, HANA Hive Facebook Excel ODQ Extractor logic Load data using optimized processing 3 rd Party RDBMS Files Twitter SOAP @ SAP Sources Or automatically switch between the different methods RDBMS /Hadoop Text Structured Social Media Email Check full list of supported SDI sources here 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 11

SAP BW/4HANA New Business User Interface SAP BusinessObjects Analysis Office SAP BusinessObjects Cloud BW Business Explorer (BEx) SAP BusinessObjects Design Studio 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 13

Process Orchestration Process Orchestration SAP BW/4HANA Algorithm Push-down BW SAP on BW AnyDB on AnyDB Data Modelling SAP BW/4HANA Data Modelling Significant performance gain through push-down of operations/calculations OLAP Data Management OLAP Data Management OLAP Engine, complex query calculations (e.g. exception aggregation) Any DB Planning SAP HANA Planning Pushdown Planning functions (e.g. disaggregation) Data management (e.g. transformation logic) 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 15

SAP BW/4HANA Advanced Analytics BW/4HANA Source Transform Target Enhance data with Advanced Analytics using HANA specific libraries (AFL), R-Script or a custom HANA procedure InfoProvider HAP HAP InfoProvider InfoProvider /View Predictive Text Analysis Data Mining SAP HANA AFL Procedure R-Script Machine Learning 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 16

S A S A SAP BW/4HANA Architecture Analytics (SAP BI, SQL, Predictive) SAP Analytics Cloud SAP BI 3rd Party BI SAP BW/4HANA Modeling Tools SAP BW/4HANA Server* Meta Data Manager Analytical Engine Data Warehousing Workspaces Open Hub Service SAP BW/4HANA is a new (innovation) code line not part of and does not depend on a NetWeaver delivery based on the ABAP application server and SAP HANA running on premise or in the cloud SAP HANA Platform DB Calc. Engine SDA EIM SAP Sources ODP Framework the logical successor of SAP BW powered by SAP HANA ETL Tools 3 rd Party Sources Data Lake 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 17

SAP BW/4HANA vs. SAP BW powered by SAP HANA Comparison Category Feature SAP BW/4HANA SAP BW on HANA The SAP BW/4HANA Advantage Simplicity Simplicity Simplicity Modeling Objects Source System Types Process Types 4 10 Building DW models with less object types means that such architectures can evolve and adjust more easily. They are more versatile and less static. 4 10 Similar to the above 42 73 Similar to the above Simplicity Modern UIs The BW modeling tools apply to both. However, there is more in SAP BW/4HANA, e.g. the Data Flow Modeler which constitutes are completely new approach in contrast to the Admin Workbench. Simplicity Data Tiering Automated on a fine granular level (partitions) and rules Simplicity Performance Openness Application Server Big data integration Semi-automated on a coarse granular level (InfoProviders) More options in SAP BW/4HANA ABAP server only Tied to SAP NetWeaver Fewer software components involved (for example, no BI Java) In general, more operations are pushed down to HANA, i.e. where the data sits which yields faster processing and less overhead due to moving data into the application server. Optimized big data integration through big data source system and integration with SAP Leonardo BPC Planning BPC 11, version for SAP BW/4HANA Standard integration via generic SDI functionality to Hadoop, Spark, Vora BPC 10.1, version for SAP NetWeaver BW/4HANA will explicitly address DW architectures that are complemented with big data environments such as Hadoop, S3, Spark, Vora and the like, not only from a connectivity perspective but also combining BW/4 process chains with tasks in, e.g., Hadoop. Integration with BW/4 and all its capabilities one product, one license model, one deployment Overall Roadmap Innovative Conservative There will only be few additional new features in BW on HANA. 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 18

SAP BW/4HANA Roadmap Delivered with SP4 in Q2 2017 Simplicity Data Tiering Optimization (DTO) Unified concept covering hot, warm and cold data Based on partitioning- and temperature definition Automatic data placement to extension nodes or NLS (SAP Q) SAP BPC support Standard and/or Embedded model. SAP BW/4HANA optimized Business Content for Plant Maintenance * Modern Interface BW/4HANA Modeling Tools Enhanced Creation Wizard for DataSources (incl. NDSO Support) SourceSystem Editor Query with reference to base query SAP Analytics Cloud live Connection Openness Big Data / Data Lake Vora support for Big Data Source System Enhanced SAP HANA EIM integration Delta and Real Time Streaming support for HANA native tables (including deletions) Interoperability with native DW approach HANA native DataStore object integration with Open ODS View and DataSource High Performance Further push down of OLAP capabilities Exception aggregation incl. currency and unit conversion * Delivered with BW4CONT SP02 This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent. 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 20

SAP BW/4HANA Roadmap Planned for Q4 2017 Simplicity Data Tiering Optimization (DTO) Vora support for write/read access and automatic data placement to Hadoop Performance Optimization (Pruning, throughput) Modern Interface BW/4HANA Modeling Tools Transformation modeling DTP Maintenance Editor for Flatfile Source System Document attached Query Cells Web based monitoring (e.g. Process Chains) Administration via SAP BW/4 Cockpit Openness Big Data / Data Lake Automation of complex Big Data flows with SAP BW/4HANA Tight coupling between Hadoop and SAP BW/4HANA processes Close Interaction with Big Data scenarios Interoperability with native DW approach HDI support High Performance Enhanced Master Data Loads Further Query Parallelization Query Read Mode Optimizer This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent. 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 21

SAP BW/4HANA Data Tiering Technology Data Volume Performance Usage in Data Warehouse hot Data is read and/or written frequently SAP HANA In-memory No restrictions, all features available Recent data Planning Reporting Data Prioritization warm Data Archiving cold Infrequent access SAP HANA on disk or SAP HANA on extension node No restrictions, all features available Less recent / important data Sporadic access Not stored in HANA: stored in SAP IQ Restricted to NLS capabilities Typically read-only Historic data No or very limited access Not stored in HANA: stored in Hadoop Restricted to NLS capabilities Read-only Historic data Dynamic Tiering (based on Extension Nodes) Non-Active Data Concept Near-line Storage with SAP IQ Near-line Storage with Hadoop Consolidation Harmonization History Acquisition 2017 SAP SE or an SAP affiliate company. All rights reserved. 22 Customer 22

SAP BW/4HANA Data Tiering Optimization (DTO) User Interface Perspective Advanced DataStore Object ( Plan ) Data Tiering Optimization Job Physical Storage ( Actual ) Standard Tier (HANA Nodes) NEW: Temperature Schema NEW: Data Tiering Optimization Job Via ABAP runtime or HANA DDO Extension Tier (HANA Extension Node) Via ABAP SQL runtime using SDA Partitioning Characteristic & Partition Ranges Changes to Partitioning Schema = Remodeling NEW: Partition Temperature Maintenance Changes Temperature = Data Tiering Optimization Job External Tier (SAP IQ or Hadoop) 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 23

Path to Convert Your System Step 1: Classic DB migration and upgrade to latest SAP BW release using DMO Step 2: Implement add-on, use transfer tools to make system BW/4HANA-ready Step 3: System conversion (like an upgrade) SAP BW on any DB SAP BW on SAP HANA SAP BW 7.5 on SAP HANA + SAP BW/4HANA Starter Add-On SAP BW/4HANA All BW customers can start NOW Customers on SAP BW powered by SAP HANA have a head-start Customers can convert at their own pace benefiting gradually from HANAoptimizations 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 25

SAP BW/4HANA conversion: Transfer Toolbox SAP BW/4HANA SAP BW To join the pilot program for In-Place- and Remote Conversion please contact SAP via Support Portal, component BW-B4H-CNV In-Place Conversion SAP BW SAP BW/4HANA Remote Conversion Full system conversion of an existing SAP BW installation (keep same SID) Step-by-step in-place transfer of classic objects into their HANA-optimized counterparts Followed by a component conversion to SAP BW/4HANA Start release: SAP BW 7.5 SP 5 powered by SAP HANA Start with SAP BW/4HANA as green field installation (new SID) Support of carve-out and consolidation scenarios Transport data models and remote data transfer Risk mitigation due to parallel system Start release: SAP BW 7.0 or higher on AnyDB 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 26

In-place Conversion Basic Sequence Discover / Prepare Phase (1-2 weeks) Explore / Realize / Deploy Phase (2-6 months) t 1 t 2 t 3 t 4 t 5 t 6 t 7 t 8 System Requirements Maintenance Planner Pre- Checks Custom Code Check In-place Conversion System Conversion Post Conversion Tasks Go-Live Simplification List for SAP BW/4HANA SAP Readiness Check * Starter Add-on Transfer Toolbox Custom Code Adjustments SPAM/SPAINT SAP BW powered by SAP HANA Downtime SAP BW/4HANA * Planned 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 27

Remote Conversion Basic Sequence Discover / Prepare Phase (1-2 weeks) Explore / Realize / Deploy Phase (2-6 months) t 1 t 2 t 3 t 4 t 5 t 6 t 7 t 8 System Requirements Maintenance Planner Pre- Checks Custom Code Check System Provisioning Remote Conversion Post Conversion Tasks Go-Live Simplification List for SAP BW/4HANA SAP Readiness Check * Installation DMIS Add-on Transfer Toolbox Custom Code Adjustments SAP BW on Any Database SAP BW/4HANA * Planned 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 28

SAP BW/4HANA New SAP Apps Partner Apps SAP S/4HANA Embedded Analytics + SAP BW on SAP HANA or SAP BW/4HANA Comprehensive Operational + Historical Analytics and Planning Powered by SAP HANA Multi-channel Unified User Experience SAP S/4HANA (incl. Virtual Data Model) SAP NetWeaver SAP HANA PLATFORM Application Services Database Services (include SAP HANA Views) Synchronizations Services SAP BW, powered by SAP HANA or SAP BW/4HANA Strategic and tactical Integration, harmonization, crosssystem consistency Consumption Planning Platform Multi-sourced data SAP S/4HANA embedded analytics Operational data Real-time Lightweight modeling and consumption Extensible Preconfigured content Data lifecycle Data governance Complete analytical suite Uniform Basis for multiple embedded use cases Model reuse in analytical applications Lightweight planning solutions All analytics requirements fulfilled with one unified solution Data integration scenarios are possible in multiple hybrid system setups 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 30

Content implications for SAP S/4HANA (with SAP BW on HANA and SAP BW/4HANA) All extractors not blacklisted (2333141 - SAP S/4HANA 1610: Restriction Note) are enabled for SAP BW on HANA and SAP BW/4HANA* All custom developed objects for extraction have to be verified and adapted to the new SAP S/4HANA relevant structures *exceptions according to content limitations for BW/4HANA 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 31

This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent. Future direction SAP Labs preview All new planned SAP standard content extraction from SAP S/4HANA to SAP BW/4HANA or SAP BW on HANA will be based on CDS delta extraction technology New Business content in SAP BW/4HANA and SAP BW on HANA will be aligned with SAP S/4HANA embedded analytics VDM data structures SAP S/4HANA SAP BW/4HANA ODP Data Sources ABAP Data Models CDS Data Models New ODP Data Sources to be created according to existing CDS VDM new ODP Existing ODP Extraction using delta-enabled CDS Extraction using ODP-enabled extraction 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 32

Embedded BW in SAP S/4HANA? SAP S/4HANA SAP HANA SAP Fiori BI/PA Planning SAP S/4HANA embedded analytics CDS (VDM) (BW on HANA) BW/ OLAP BW/4HANA BW/ OLAP Since the release of SAP NetWeaver 7.0, SAP ERP systems automatically include SAP BW. The SAP BW technology that exists inside such an ERP system is called Embedded BW. The Embedded BW is used to support certain business processes in the SAP Business Suite and in SAP S/4HANA, e.g. integrated financial planning processes in SAP S/4HANA (aka BPC Optimized) Embedded BW is not recommended for building an Enterprise Data Warehouse, for several reasons considering multiple SAP Applications on SAP HANA in productive environments: Upgrades and patches Transact. Tables SAP DWH Data Resource allocation and capacity planning System Management, Workload Management, and Monitoring Backup & Recovery SAP does not recommend using Embedded BW for data warehouse (EDW) use cases! Best practice: The amount of data persisted in the Embedded BW should not exceed 20% of the overall data volume of the system. Embedded BW is not SAP BW/4HANA Lifecycle management High Availability & Disaster Recovery Security Production support systems ("Break fix systems") and Quality assurance system The version of BW used in the embedded scenario is BW 7.5 (BW on HANA) not on the innovation codeline and missing the improvements already delivered with BW/4HANA 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 33

Mixed scenarios/cases always possible Suggested use scenarios for SAP S/4HANA embedded analytics and SAP BW on HANA (BW) Initial Situation Suggested Scenarios Customer Type 1: rather simple system landcape: no EDW in place, BW used for operational reporting - no data consolidation, no Enterprise Data Warehouse (EDW) in place yet. BW may be used to support operational reporting only - And/or: Customer is interested to elaborate new processes possible with SAP S/4HANA embedded analytics (Built-in BI, cross-system online reports, Smart Business, Analytical Applications etc.) Customer Type 2: More elaborate system landscape including an SAP BW and/or a 3 rd party EDW - Data consolidation required for analytics - Operational reporting currently in BW - Customer not complaining about performance (data load and query) nor latency issues. SAP S/4HANA embedded analytics in focus Focus on SAP S/4HANA embedded analytics for operational reporting Suggest to make use of new scenarios, e.g. built-in analytics for hybrid transactional and analytical applications (e.g. SAP Embedded BI or SAP Smart Business Cockpits) In case EDW processes are or become valid scenarios, SAP s strategic solution is SAP BW powered by SAP HANA BW in focus SAP s strategic solution is SAP BW powered by SAP HANA Suggest migration from BW/EDW on AnyDB to BW on HANA for reducing TCO. Elaborate S/4HANA embedded analytics for new scenarios, e.g. built-in analytics for hybrid transactional and analytical applications (e.g. SAP Embedded BI or SAP Smart Business Cockpits) 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 34

How to proceed for customer Existing BW reports Existing BW reports Existing BW reports Existing Existing BW BW reports reports (if applicable) Existing BW Existing reports BW Existing reports BW Existing reports BW Other reports reporting requirements EDW-only report/planning scenario Suitable for real-time operational data? Feature check Done w/ BW Covered by SAP S/4HANA embedded analytics standard content Can be covered by Extension of SAP S/4HANA embedded analytics standard content New SAP S/4HANA Scenario New non-sap Scenario BW hybrid SAP S/4HANA embedded analytics 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 35

Feature/functionality check for mixed cases Question Yes 1 point for No 1 point for Only existent in SAP BW Do you have a significant current BW investment? SAP BW SAP S/4HANA embedded analytics Do you often consolidate data from multiple sources? SAP BW SAP S/4HANA embedded analytics Are you loading data multiple times per day? SAP S/4HANA embedded analytics SAP BW Do you load data on document level? SAP S/4HANA embedded analytics SAP BW More BW Do you need to cleanse the data before reporting? SAP BW SAP S/4HANA embedded analytics Do you need to harmonize and transform the data before reporting? SAP BW SAP S/4HANA embedded analytics Do compliance requirements apply? SAP BW SAP S/4HANA embedded analytics Do you work with time-dependent master data? SAP BW SAP S/4HANA embedded analytics Do you often need to take data snapshots to freeze data? SAP BW SAP S/4HANA embedded analytics Do you perform long term trend analysis? SAP BW SAP S/4HANA embedded analytics Do you need complex calculations beyond + - * / SAP BW SAP S/4HANA embedded analytics Do you require planning capabilities SAP BW SAP S/4HANA embedded analytics Are you reusing Business Suite authorizations for reporting? SAP BW SAP S/4HANA embedded analytics Do you need to integrate data from 3 rd party solutions? SAP BW SAP S/4HANA embedded analytics Count the points for SAP BW and S/4HANA embedded analytics separately Your preferred option according to your answers is: 11-14 points SAP S/4HANA embedded analytics 5-10 points S/4HANA embedded analytics 0-3 points SAP S/4HANA embedded analytics Only existent in SAP HANA 0-3 points SAP BW 5-10 points SAP BW 11-14 points SAP BW Go for SAP S/4HANA embedded analytics Go for the Hybrid Approach Go for SAP BW 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 36

Training for SAP BW/4HANA training@sap training@sap opensap BW462 SAP BW/4HANA BW462 SAP BW/4HANA Classroom or Virtual Live Classroom Material in English; course in local language 5 days (available in several countries) Prerequisites: Hands-on experience in data modeling with SAP BW 7.x BW310 (SAP BW Enterprise Data Warehousing non-hana) For details, go to SAP Training DBW4H Data Warehousing with SAP BW/4HANA - Delta from SAP BW powered by SAP HANA to SAP BW/4HANA Classroom or Virtual Live Classroom Material in English; course in local language 2 days (available in several countries) Prerequisites: SAP BW 7.4 / 7.5 and SAP HANA 1.0 knowledge is necessary DBW74, BW362, HA100 or HA100e, BW310H For details, go to SAP Training SAP BW/4HANA in a Nutshell Open Online Course English 4 Units 2-3 hours in total No prerequisites Free participation & certification For details, go to opensap 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 38

More Information about SAP BW4/HANA SAP BW/4HANA Landing Page http://sap.com/bw4hana SAP BW/4HANA Community Product Page http://sap.com/bw4hana10 SAP BW/4HANA Documentation http://help.sap.com/bw4hana10 Why #BW/4HANA? http://scn.sap.com/community/bw-hana/blog/2016/09/05/why-bw4hana SAP BW/4HANA FAQ http://go.sap.com/documents/2016/08/c4458a08-877c-0010-82c7- eda71af511fa.html SAP First Guidance SAP BW/4HANA complete functional scope (CFS) http://www.sap.com/documents/2016/09/b001a9de-8a7c-0010-82c7- eda71af511fa.html The Road to SAP BW/4HANA Part 1 & 2 https://blogs.saphana.com/2016/09/07/the-road-to-sap-bw4hana-part-1/ https://blogs.saphana.com/2016/09/18/the-road-to-sap-bw4hana-part-2/ 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 39

2017 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 affiliate company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/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 its affiliated 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 and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting 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 develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE s or its affiliated companies strategy and possible future developments, 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 time for 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 forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions. 2017 SAP SE or an SAP affiliate company. All rights reserved. Customer 40