SAP BI Strategy. Ravichandran Mahadevan, SAP Analytics Product Management SAP SE or an SAP affiliate company. All rights reserved.

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1 SAP BI Strategy Ravichandran Mahadevan, SAP Analytics Product Management

2 Legal disclaimer The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has 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's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP 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. 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. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP s willful misconduct or gross negligence. 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. 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.

3 BI Trends

4 AGILITY AND EMPOWERMENT

5 MORE CUSTOMER DATA

6 MORE NEED FOR ANALYTICS

7 ADVANCES IN TECHNOLOGY

8 SAP BI Strategy

9 SAP BI Strategy Innovate the core and build the cloud Simplify the landscape Embrace different user types Enterprise BI + Trusted Data Discovery for on-premise Combine BI + Planning + Predictive for the cloud Against all data

10 INNOVATE THE CORE BUILD THE CLOUD Business Innovation Through Radical Simplification Agility and Creativity for the Business Scale and Trust for the Enterprise

11 Innovate the core and build the cloud Provide new SaaS Analytics capabilities SAP BusinessObjects Cloud All analytics capabilities in one cloud platform Consumer-grade user experience Embedded and standalone High-performance, real-time platform Software as a Service in the Public Cloud Data Level Interoperability Enterprise BI Trusted Data Discovery Advanced Analytics EPM GRC Continued investment in existing solutions SAP BusinessObjects BI Suite BI 4.2 GA (Q1 16) Design Studio 1.7 (Q2) Analysis for Office 2.3 (Q2) Mobile BI 6.4 (Q2) SAP BusinessObjects Lumira Lumira 1.31 (Q2) SAP BusinessObjects Lumira 2.0 (H1 17) SAP BusinessObjects Predictive Analysis Predictive Analytics 3.0 Predictive Analytics Integrator 1.1 (Q3) On-Premise or Private Cloud SAP BusinessObjects Planning and Consolidation (BPC) BPC 10.1 NW SP08 (Q4) Fraud and Access Control Risk Management 10.1 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 Customer 12 particular purpose, or non-infringement

12 SAP BI Strategy Innovate the core and build the cloud Simplify the landscape Embrace different user types Enterprise BI + Trusted Data Discovery for on-premise Combine BI + Planning + Predictive for the cloud Against all data

13 Interoperability Common platform services Simplify the Landscape Client Convergence for On-Premise BI Data Discovery & Analysis Lumira Explorer Lumira Dashboards & Applications Design Studio Dashboards BEx Web Analysis for OLAP Design Studio Office Integration Analysis Office EPM Add-in Live Office BEx Analyzer Analysis Office Reporting Crystal Reports Web Intelligence Desktop Intelligence Crystal Reports Web Intelligence

14 Simplify the landscape Embrace the Cloud for All Analytics Combined New Cloud for Analytics product for Line of Business and OEMs, natively built on the HANA Cloud Platform, in one beautiful user experience Multimedia Text Mcaas, PaaS or SaaS (e.g. HEC, HCP) System logs Data streams Distributed storage and computing (e.g. Hadoop) All Analytics. All Users. One Product. Graphs NoSQL Stores Cloud for Analytics (BI, Planning, Predictive) Structured ERP

15 SAP BI Strategy Innovate the core and build the cloud Simplify the landscape Embrace different user types Enterprise BI + Trusted Data Discovery for on-premise Combine BI + Planning + Predictive for the cloud Against all data

16 Embrace different user types Decision Makers Administrators Designers Analysts

17 SAP BI Strategy Innovate the core and build the cloud Simplify the landscape Embrace different user types Enterprise BI + Trusted Data Discovery for on-premise Combine BI + Planning + Predictive for the cloud Against all data

18 Analyst Enterprise BI + Trusted Data Discovery for On-Premise Matrix: User types, BI scenarios and authoring Analysis Office Enterprise BI (Professionally Authored) Design Studio Crystal Reports Designer Data Discovery & Analysis Dashboards and Apps Trusted Data Discovery (Self-Service) Lumira Decision Maker Reporting Web Intelligence

19 SAP BI Strategy Innovate the core and build the cloud Simplify the landscape Embrace different user types Enterprise BI + Trusted Data Discovery for on-premise Combine BI + Planning + Predictive for the cloud Against all data

20 Combine BI + Planning + Predictive for the Cloud Applications SAP Digital Boardroom Vertical Apps Analytic Capabilities BI Exploration Planning Planning Allocation Predictive Forecasting Segmentation* GRC* Access Controls Embedding Analytics into Applications Core Capabilities Data Connectivity & Modeling Visualization & Stories Collaboration & Events Administration & Security Auditing & Monitoring APIs HANA Cloud Platform * Planned Cloud Data Sources and Applications On-Premise Data Sources and Applications

21 SAP BI Strategy Innovate the core and build the cloud Simplify the landscape Embrace different user types Enterprise BI + Trusted Data Discovery for on-premise Combine BI + Planning + Predictive for the cloud Against all data

22 Against all data SAP Business Intelligence We never met a data source we didn t like Over 300 data sources supported More than at any time in our history All significant RDBMS and OLAP providers OData, Web Services, Big Data, Cloud Data Data extension APIs for other data sources New data sources added based on market demand +95% of enterprise data is not in HANA or BW Continually adding more Big Data sources Accelerated federation with HANA Smart Data Access Cloud data provisioning with HCI, HCC, INA, etc. BOBJ BI HANA BW BOBJ BW ECC HANA ECC

23 SAP Analytics Extensions Directory SAP Analytics Partner Extensions Customer Satisfaction SAP analytics platform play The extensions directory is directly accessible through our products Extension opportunities are limitless Administration / Productivity tools Data connectivity / Visualizations Customization / Templates Download Center Get partner extensions 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 Customer 24 particular purpose, or non-infringement

24 SAP Business Intelligence Strategy In Summary Enterprise BI Ubiquitous BI for all users and landscapes Collaborate across the organization Scalable, secure, and mission critical Agile Visualization Unleash user s creativity Agility for the business Trusted, scalable, governed Smart BI Gain the competitive advantage Predict and act faster Share insights Cloud Public cloud (SAP BusinessObjects Cloud) Private cloud (HANA Enterprise Cloud, AWS, Azure) Drive lower TCO Big Data Explore new opportunities Build on SAP HANA strengths Embrace Hadoop, Spark, and other big data sources Run Simple 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 Customer 25 particular purpose, or non-infringement

25 Thank you!

26 Key links for more information Key links SAP Lumira SAP Analytics Extensions Marketplace Road maps on SAP Service Marketplace SAP Community Network SAP Lumira Enablement SAP Lumira Visualization & Data Access Extensions IT Planning Resources Lumira Sizing Guide Product Documentation Product Availability Matrix Where to go to provide product feedback and ideas SAP Idea Place Influence programs SAP User Groups

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