#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts with Dashboards and Visualizations

2. 2© 2015 SAP SE or an SAP affiliate company. All rights reserved. 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.

3. 3© 2015 SAP SE or an SAP affiliate company. All rights reserved. Speakers Ty Miller Vice President Product Management Angela Harvey Director of Solution Management David Stocker Senior Product Manager Justin Sears Director of Industry Marketing Tammy Powlas SAP Mentor @wtymiller @AngelaHarveySAP @dh_stocker@jcsears @tpowlas

4. • Quarterly series for the BI community hosted by SAP Analytics • An opportunity for you to direct the discussion, get your questions answered, and end the session with some useful advice • Live and interactive 90 minutes • Connect on topics before, during, and after the call via twitter using #askSAP SAP Analytics Innovations Community Call Series

6. 6© 2015 SAP SE or an SAP affiliate company. All rights reserved. • Simplify the landscape… • Embrace all users… • For both Enterprise BI and Trusted Data Discovery… • Against all data. SAP BI Strategy

7. 7© 2015 SAP SE or an SAP affiliate company. All rights reserved. Data Discovery & Analysis Dashboards & Applications Lumira Explorer Design Studio Dashboards BEx Web Analysis for OLAP Lumira Design Studio Apps Design Studio Reporting Crystal Reports Web Intelligence Desktop Intelligence Crystal Reports Web Intelligence Analysis Office EPM Add-in Live Office BEx Analyzer Office Integration Analysis Office Commonplatformservices Interoperability SelfServiceEnabled Simplify the landscape…

9. 9© 2015 SAP SE or an SAP affiliate company. All rights reserved.  Significant complexity to the BI content, often professionally authored.  Standardized formats, sophisticated design, complex data mash-ups, or high levels of governance.  Separates creation from consumption environment.  Often not a product, but a way of working with software in a self-service manner.  Business user, analyst, or executive answering their own questions.  Combines the creation and consumption environment into a single seamless experience. Trusted Data DiscoveryEnterprise BI For both Enterprise BI and Trusted Data Discovery…

13. 13© 2015 SAP SE or an SAP affiliate company. All rights reserved. SAP Labs preview Reduce downtime for patch upgrade • Improved error reporting during Install • Improve language update process • Improved start-up time on Install Improve Migration Process • Delta content upgrade • Promotion Manager performance improvement Remove upgrade barriers • Support for Linked UNX Universes • Alias tables support for Oracle Essbase enhancements in AOLAP Improved User Experience • Better collaboration experience with commentary (platform capability consumed in WebI) Planned InnovationsSimplify the Platform This is the current state of planning and may be changed by SAP at any time.

14. 14© 2015 SAP SE or an SAP affiliate company. All rights reserved. BI as Platform for Trusted Data Discovery • SAP Lumira Add on to BI, SAP Lumira as a first class citizen in BOE • Meet IT & business users need for data discovery Platform Enhancements • Notifications • Recycle Bin – administrator can restore objects • Enhanced Audit Reports. • Publication enhancements Client Enhancements • Web Intelligence support for geo maps • Web Intelligence re-use of objects created by other WebI users • QR Code & Bar Code support in Crystal Reports for Enterprise. • Support for InA provider for HANA connectivity in AOLAP BW Enhancements • Runtime currency conversion in AOLAP • Authored UNX universe for BEx queries Planned InnovationsEnhance the Experience This is the current state of planning and may be changed by SAP at any time.

15. 15© 2015 SAP SE or an SAP affiliate company. All rights reserved. SAP Labs preview Platform Support • New OS, browser, database and app server support • Support for new data sources ( MS Azure, Apache Spark, Amazon EMR Redshift ) • Support of Lumira on Android devices Cloud Support • Extend supporting BI to other cloud partners like Microsoft Azure Platform and Clients • Administrator cockpit - Administrator gets insights about BI Platform. • Improved HANA Support- WebI delegates calculations to HANA in- memory-engine • Push notification on Mobile clients. Customization & Extension Development • Delegate WebI block rendering to CVOM HTML, 3rd-party charting or geomap solution • Enhance RESTful APIs (User ,Content and Session Mgmt, Crystal Reports ) Planned InnovationsInnovate for the Future This is the current state of planning and may be changed by SAP at any time.

17. 17© 2015 SAP SE or an SAP affiliate company. All rights reserved. SAP Lumira for Trusted Data Discovery Essential features enabling business-user led analytics in the line of business. Agility Bridging de-centralized analytics deployments with those centralized to better serve the enterprise Trust Cost effective Data discovery on ALL data by leveraging Velocity in Memory Engine on Hadoop Scale

18. 18© 2015 SAP SE or an SAP affiliate company. All rights reserved. TrustAgility Scale • Data Blending - HANA Online & more than 3 sources • BW - Improved prompting. Retrieve LOV by range. • Filter with measures or wildcards • Customize chart axes, labels, legend. In place customization of charts from the compose room. • Crosstab – search, sort, filter, copy & export records directly from crosstab. • Geo base maps & layers. Improved geocoding. • Expressions using formula editor • Input controls for time & range. • Page re-order, re-name & zoom • Refresh with prompts on open. (Unx, BW, HANA) • Publications and Scheduling with prompts • Create New Lumira Doc from browser on Lumira Server for BIP (LS4BIP) and Lumira Server for Teams (LS4T) • Extension management for LS4BIP / LS4T • Story embedding from LS4BIP / LS4T • Actionable data. URL link to third party systems • Auditing of Lumira Desktop from LS4BIP • Impact Analysis and Data Lineage • Linux support for LS4BIP • Link directly to relevant SCN (KBA) or SAP Notes from Lumira Error dialogues • Mobile BI support • Hadoop scheduling to LS4BIP or LS4T • Hadoop – Single file for Hadoop sample & scheduled result. • Data Volume Visualization Improvements - Chart performance improvements (rendering to 100K). • Ranking / top N + other Agility, Trust and Scale Planned Innovations

21. Big Data Landscape

24. 24© 2015 SAP SE or an SAP affiliate company. All rights reserved. Job postings for NoSQL experts were up 54% year over year in 2014 (Dice, career site) The data volume in the enterprise is going to grow 50x year-over-year between now and 2020 – Hadoop Summit, 2014 According to Forrester, most companies use only 12% of their data 40% projected growth in global data generated per year vs. 5% growth in global IT spending. –McKinsey Big Data is going places – want to go with it? $27B in 2014, $100B in 2020

25. 25© 2015 SAP SE or an SAP affiliate company. All rights reserved. Opportunity Organizations are recognizing the value of previously discarded data and new data types New data stores cheaper in terms of hardware, software, and ETL More data is accessible from a variety of sources (weblogs, sensors, social media)

26. But what is Big Data?

28. 28© 2015 SAP SE or an SAP affiliate company. All rights reserved. Scale out, not up Run on commodity clusters Fault tolerant Agile (semi & unstructured data) Fast read/write “OLTP” type use-cases Examples, sensor data, clickstream… Large-scale processing “datawarehouse” Recommendation engines, predictive, etc NoSQL and Hadoop

29. 29© 2015 SAP SE or an SAP affiliate company. All rights reserved. Analytics and Big Data Agile Visualization Advanced Analytics Enterprise Business Intelligence • SAP Analytics tools view Hadoop as just another data source • Complement your existing data infrastructure with Hadoop or NoSQL and derive value with familiar SAP tools • Use SAP Analytics directly against Big Data sources, or with HANA for real-time analytical capabilities Data Sources SAP BI Suite • Connect universes directly to Hadoop thru EMR, Hive, Impala then report using any client tool (Web Intelligence, Crystal Reports, Dashboards) SAP Lumira • Connect to Hadoop thru Hive, EMR, and Impala drivers or additional sources with our API • Customized data acquisition for MongoDB • Leverage our Big Data visualizations or build your own SAP Predictive Analysis • Beyond knowing what happened understand why, or model what could • Tease more information out of Big Data sources, creating more attributes for better modeling • Fast—pushing the predictive calculations to Hadoop removes the need to bring data to the desktop

30. Thinking about Big Data Differently

34. 34© 2015 SAP SE or an SAP affiliate company. All rights reserved. We need to be able to bring their data into our analytical experience • Flattening the data is the end goal, not the beginning • Support schema-less sources • Dedicated acquisition experience Adjust to these new types of sources

37. 37© 2015 SAP SE or an SAP affiliate company. All rights reserved. Companies transform entire business model by using the new architecture to keep all its business data for longer and to use for a wider variety of analytics. Previously only storing 1% of its core business data for one year. Why Hadoop matters to Analytics?

39. 39© 2015 SAP SE or an SAP affiliate company. All rights reserved. • Visualizations on big data… • Connecting to more data sources… • Performance expectations of end users & and of course transferring big data is not a good idea… More data more problems…

41. 41© 2015 SAP SE or an SAP affiliate company. All rights reserved. Original sample Full Full 1. Sampling of the dataset 2. Scheduling the operations to Hadoop to generate the full dataset 3. Full dataset copied into the .lums file Lumira Server, Team edition VE Full Lumira Server for BI platform L o c a l V i e w 4. .lums file published to Lumira Server Virtual Table 5. IT can author views in Hana using the Smart Data Access Data Wrangling on any data size in Hadoop!

45. Data Growth from the Internet of Anything Leaders drive business transformation via modern architecture that harnesses all data NEW TRADITIONAL Opportunity Unlock transformational business value from a full fidelity of data and analyticsGeolocation Server logs Files & emails ERP, CRM, SCM Traditional Data Sources Internet of Anything Sensors and machines Clickstream Web & social 2.8 zettabytes in 20121 44 zettabytes in 20201 1Zettabyte (ZB) = 1 million petabytes (PB); Sources: IDC, IDG Enterprise, and AMR Research

48. Page48 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hortonworks® customers leverage our technology to transform their businesses, either by achieving new business objectives or by reducing costs. The journey typically involves both of those goals in combination, across many use cases. OPEX Reduction Mainframe Offloads Historical Records Data as a Service Public Data Capture Fraud Prevention Device Data Ingest Rapid Reporting Digital Protection C O S T S AV I N G S Social Mapping Payment Tracking Factory Yields Defect Detection Call Analysis Machine Data Product Design M & A Due Diligence Next Product Recs Store Design Risk Modeling Ad Placement Proactive Repair Disaster Mitigation Investment Planning Inventory Predictions Customer Support Sentiment Analysis Supply Chain Ad Placement Basket Analysis Segments Cross- Sell Customer Retention Vendor Scorecard s Optimize InventoriesB U S I N E S S O U T C O M E S

50. Page50 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hortonworks Data Platform Is Genuinely Open Eliminates Risk of vendor lock-in by delivering 100% Apache open source technology Maximizes Community Innovation with hundreds of developers across hundreds of companies Integrates Seamlessly through committed co-engineering partnerships with other leading technologies M A X I M U M C O M M U N I T Y I N N O VAT I O N T H E I N N O VAT I O N A D VA N TA G E P R O P R I E T A R Y H A D O O P T I M E INNOVATION O P E N C O M M U N I T Y

52. YA R N D A T A O P E R A T I N G S Y S T E M OPERATIONS SECURITY GOVERNANCE STORAGE STORAGE Machine Learning Batch StreamingInteractive Search Centralized Platform for operations, governance and security Diverse Applications run simultaneously on a single cluster Maximum Data Ingest including existing and new sources, regardless of raw format Shared Big Data Assets across business groups, functions and users Centralized Platform with YARN-Based Architecture

54. Page54 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Offering You the Most Flexibility A N Y D ATA Existing and new datasets A N Y A P P L I C AT I O N Multiple engines for data analysis A N Y W H E R E Complete range of deployment options Batch Interactive In-memory Streaming Machine Learning Click- stream Sensor Social Mobile Geo- Location Server Log Linux Windows CloudOn-Premise

55. Page55 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Integrated and Interoperable with the Ecosystem Partners OPEN DATA PLATFORM ENABLING BIG DATA SOLUTIONS TO FLOURISH ATOP A COMMON CORE PLATFORM

57. Page57 © Hortonworks Inc. 2011 – 2015. All Rights Reserved YA R N D A T A O P E R A T I N G S Y S T E M OPERATIONS SECURITY GOVERNANCE STORAGE STORAGE Machine Learning Batch StreamingInteractive In-memory Enterprise-Ready Governance, Security & Operations Trusted Governance along the entire data lifecycle Comprehensive Security through a platform approach Consistent Operations with automated provisioning, management and monitoring—optimized with Hortonworks SmartSense™

59. Page59 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Only Hortonworks Delivers Open Enterprise Hadoop YARN: Data Operating System CLICKSTREAM SENSOR SOCIAL MOBILE GEOLOCATION SERVERLOG Batch Interactive In-Memory Streaming Machine Learning EXISTING HORTONWORKS DATA PLATFORM O p e n – C e n t r a l – I n t e r o p e r a b l e – R e a d y Linux WindowsCloudOn-Premises

60. Page60 © Hortonworks Inc. 2011 – 2015. All Rights Reserved About Hortonworks Customer Momentum • 556 customers • 119 customers added in Q2 2015 • Publicly traded on NASDAQ: HDP Hortonworks Data Platform • Completely open multi-tenant platform for any app and any data • Consistent enterprise services for security, operations, and governance Partner for Customer Success • Leader in open-source community, focused on innovation to meet enterprise needs • Unrivaled Hadoop support subscriptions Founded in 2011 Original 24 architects, developers, operators of Hadoop from Yahoo! 740+ E M P L O Y E E S 1350+ E C O S Y S T E M PA R T N E R S

62. Page62 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Delivering Big Data Platform with SAP & Hortonworks HADOOP DATA LAKE SAP HANA APPLICATIONS Low Cost Scale-Out Storage Data Cleansing, Transformation, Stream Processing Deep Analytics & Exploration Stream Processing Accelerated Analytics Application Services Analytic Predictive Web Mobile DataIngestion&Provisioning Sensor Logs Text Structured Social Weather Geo Other SOURCES

63. Page63 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Process Map For Predictive Maintenance ERP Data Historical Telemetry Data Real Time Telemetry Data Load Telemetry Normalize Telemetry Data Develop State Matrix Filtered State Matrix w/ Key Indicators Visualize Correlations Refine State Matrix Develop Predictive Models Validate Predictive Model Deploy Model Generate Alerts & Task Orders Load ERP Data EXTERNAL SYSTEM DATA LAKE SAP HANA SAP APPLICATIONS

64. Page64 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Next Steps Learn More • Hortonworks.com/partners/sap Download the Hortonworks Sandbox • Hortonworks.com/sandbox Attend the Open Enterprise Hadoop Roadshow • info.hortonworks.com/HadoopRoadshow

66. Page66 © Hortonworks Inc. 2011 – 2015. All Rights Reserved This presentation contains forward-looking statements involving risks and uncertainties. Such forward-looking statements in this presentation generally relate to future events, our ability to increase the number of support subscription customers, the growth in usage of the Hadoop framework, our ability to innovate and develop the various open source projects that will enhance the capabilities of the Hortonworks Data Platform, anticipated customer benefits and general business outlook. In some cases, you can identify forward-looking statements because they contain words such as “may,” “will,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential” or “continue” or similar terms or expressions that concern our expectations, strategy, plans or intentions. You should not rely upon forward-looking statements as predictions of future events. We have based the forward-looking statements contained in this presentation primarily on our current expectations and projections about future events and trends that we believe may affect our business, financial condition and prospects. We cannot assure you that the results, events and circumstances reflected in the forward-looking statements will be achieved or occur, and actual results, events, or circumstances could differ materially from those described in the forward-looking statements. The forward-looking statements made in this prospectus relate only to events as of the date on which the statements are made and we undertake no obligation to update any of the information in this presentation. Trademarks Hortonworks is a trademark of Hortonworks, Inc. in the United States and other jurisdictions. Other names used herein may be trademarks of their respective owners. Page66 © Hortonworks Inc. 2011 – 2015. All Rights Reserved

68. 68© 2015 SAP SE or an SAP affiliate company. All rights reserved. SAP BusinessObjects Design Studio Release Design Beautiful, Responsive & Personalizable BI Apps Drag & Drop Powerful Visualizations and Controls: Tables, Charts, Geo Map, Filters, Graphics, Icons etc. Personalized Online Composition for End-Users Access Enterprise Data Sources: BW, HANA, UNX, ESP Event Streaming State of the art HTML5 Rendering & Mobile Support Standard Apps for Analysis, Planning, Data Exploration, Self- ServiceFull OLAP & Planning Support, Dashboards Rapid Prototyping with Offline Data (CSV)

69. 69© 2015 SAP SE or an SAP affiliate company. All rights reserved. How IT and Business Users use Design Studio IT LOB Corporate Analytic Applications Corporate Analytic Applications Create & Deploy Modify (optional) Deploy Design Studio Technology Design Studio design tool (Eclipse) Design Studio app (HTML5) Design Studio bookmark (HTML5) DESIGN STUDIO Standard Apps for Analysis, Exploration & Self-Service Dashboards Standard Apps (out-of-the-box) Analyze, Explore, Re-Compose, Personalize & Share Custom Apps Personal Views & Self-Service Dashboards

70. 70© 2015 SAP SE or an SAP affiliate company. All rights reserved. How IT and Business Users use Design Studio  Includes: – Menu – Filter Area – Navigation Area – Setting Area for chart and table – Data Area including table view, chart view and table/chart view – Action Area  New components – Data Connection – New Navigation Panel – Filter Line – Chart Type Picker – Enhanced Context Menu – Enhanced Bookmark functionality Menu Filter Area Navigation Panel Settings for charts / table Action Area

71. 71© 2015 SAP SE or an SAP affiliate company. All rights reserved. How IT and Business Users use Design Studio Analyze data, and gain insight with visualizations • Filter data on the dimensions • Full pivot table experience • Visualize data with BW hierarchies • Use standard context menu • Use report-report interface / open doc • Create different visualizations for story composition • Visualize several datasources and display them in one story Compose a story to share with others • Save to the BI Platform with document level security • Share a PDF export of a story • Share a URL link to the story

72. 72© 2015 SAP SE or an SAP affiliate company. All rights reserved. Example: Data Exploration & Visualization App Analyze data, and gain insight with visualizations • Filter data on the dimensions • Full pivot table experience • Visualize data with BW hierarchies • Use standard context menu • Use report-report interface / open doc • Create different visualizations for story composition • Visualize several datasources and display them in one story Compose a story to share with others • Save to the BI Platform with document level security • Share a PDF export of a story • Share a URL link to the story

73. 73© 2015 SAP SE or an SAP affiliate company. All rights reserved. Example: Data Exploration & Visualization App Web&MobileMicrosoftOffice Design Studio • Professional Environment for Designers & Developers to Create Purpose-Built Apps Planning Support • Mobile Support • SDKs • Standard Apps & Templates • Robust & Enterprise Ready Analysis, Edition for Microsoft Office • IT / Developers, Data Analysts, Business Users • Excel-based Analysis & Planning • Integrated Roadmap with EPM Excel Client • PowerPoint Integration • Trusted Data Discovery with BW workspaces Design Studio & Lumira • Lumira Desktop: BW Data Acquisition • Standard Design Studio Apps for • Self-Service Data Analysis • Data Exploration & Visualization Analytical Applications on BW AdHoc Analysis on BW

74. 74© 2015 SAP SE or an SAP affiliate company. All rights reserved. SAP BusinessObjects Design Studio Release 1.6 Design beautiful, responsive & personalizable BI Apps End User Analysis • Drag & Drop in Crosstab • Custom Measures • Top N Filters • Planning Grid with Copy & Paste • Chart Customizing Application Building • New and improved components • Rapid Prototyping with offline data (CSV files) • Fiori component library • Designtime Usability Improvements New and Improved Components • Geo map enhancements • New chart types and options • Table (for dashboards / scorecards) • Icons and graphics library • Planning Grid • Others, e.g. Timer, Tree Platform & Standards • Extended data limit for UNX connectivity (20K rows) • Support of multi-source UNX • Right-to-Left Support

76. 76© 2015 SAP SE or an SAP affiliate company. All rights reserved. Learn Everything About Lumira & Try For Free – www.saplumira.com Connect with community experts BI – scn.sap.com/community/business-intelligence Lumira – scn.sap.com/community/lumira Data Genius Challenge – https://ideas.sap.com/DataGenius Download the Statement of Direction for SAP BI Solutions – http://spr.ly/BI_SOD Increase the Value of Your BI Investment – www.sapbi.com Watch SAP Analytics Customer Stories – www.SAPAnalyticsStory.com Online Resources

#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts with Dashboards and Visualizations

#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts with Dashboards and Visualizations

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