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SAPInsider Singapore: How Big Data Shapes Technology Strategies and Drives Business Transformation

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Presentation at SAPInsider Singapore 2014, "How Big Data Shapes Technology Strategies and Drives Business Transformation"

Text of SAPInsider Singapore: How Big Data Shapes Technology Strategies and Drives Business Transformation

  • 1. How Big Data Shapes Technology Strategiesand Drives Business TransformationTimo ElliottSAP

2. AgendaBig Data DirectionsUsing Big Data to Improve The Customer ExperienceUsing Big Data to Empower EmployeesUsing g Big Data to Optimize Resource UseUsing Big Data for Business NetworksWrap-up 2014 SAP SE or an SAP affiliate company. All rights reserved. 1 3. Big Data Directions 2014 SAP SE or an SAP affiliate company. All rights reserved. 2 4. Information Becomes a Profit CenterProduct Customer ExperienceReal-time,highlypersonalizedBusiness OwnershipIterative,ever-changing 2014 SAP SE or an SAP affiliate company. All rights reserved. 3 5. Analytics Moves to the Core 2014 SAP SE or an SAP affiliate company. All rights reserved. 4 6. Process dataHuman dataMachine dataBig Data Adds New Data Opportunities 2014 SAP SE or an SAP affiliate company. All rights reserved. 5 7. Predictive Reaches MaturityDescriptive:What happened?Predictive:What will happen?Diagnostic:Why did it happen?Prescriptive:How can wemake it happen?Hindsight Insight Foresight 2014 SAP SE or an SAP affiliate company. All rights reserved. 6 8. Companies Dont Use Most of Their Data TodaySMBs: LEs:Unstructured9 TB 75 TB50TBSemi-structured0.6 TB 5 TB2 TBStructured4 TB 50 TB12 TBOnly12%used todayAverage data volumeper companySource: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012. Base: 634 business intelligence users and planners 2014 SAP SE or an SAP affiliate company. All rights reserved. 7 9. Big Data Is Not Only About Big DataMy analytics are becoming more difficult because of the variety and types ofdata sources (not just the volume)Source: Paradigm4 data scientist survey 2014www.paradigm4.com/wp-content/uploads/2014/06/P4-data-scientist-survey-FINAL.pdf 2014 SAP SE or an SAP affiliate company. All rights reserved. 8 10. Transactions Are Still a Big Part of Big DataWhich types of data do you anticipate using in the next year?Source: Paradigm4 data scientist survey 2014www.paradigm4.com/wp-content/uploads/2014/06/P4-data-scientist-survey-FINAL.pdf 2014 SAP SE or an SAP affiliate company. All rights reserved. 9 11. What Is Big Data? The Google Summary nonsense 2014 SAP SE or an SAP affiliate company. All rights reserved. 10 12. Big Data Is Heading for the Trough of DisillusionmentSource: Gartner, August 2014, www.gartner.com/newsroom/id/2819918 2014 SAP SE or an SAP affiliate company. All rights reserved. 11 13. Benefits from Big Data Initiatives# 5 Identified new product opportunities (6%)#4 More reliable decision making (9%)#3 Improved operational efficiency (11%)#2 Identified new business opportunities (31%)#1 DONT KNOW (51%)Source: Information Difference Research Study Dec 2013: Big Data Revealed http://helpit.com/us/industry_articles/big_data_revealed.pdf 2014 SAP SE or an SAP affiliate company. All rights reserved. 12 14. Hadoop and Other NoSQL TechnologyEnterprise Data Lakes and Data Hubs 2014 SAP SE or an SAP affiliate company. All rights reserved. 13 15. A Typical Example of DW and Hadoop Integration 2014 SAP SE or an SAP affiliate company. All rights reserved. 14 16. OLTP + OLAP = HTAPHTAP = Hybrid transaction/analytical processingA single system for both OLTP (operational) andOLAP (analytical) processing. Data is stored once, in-memory,and so instantly available for analytics.Hybrid transaction/analytical processing willempower application leaders to innovate via greatersituation awareness and improved business agility.This will entail an upheaval in the establishedarchitectures, technologies and skills driven by useof in-memory computing technologies as enablers.Gartner, 2014Source: Gartner 2014, Hybrid Transaction/Analytical Processing Will Foster Opportunities for DramaticBusiness Innovation www.gartner.com/doc/2657815/hybrid-transactionanalytical-processing-foster-opportunities 2014 SAP SE or an SAP affiliate company. All rights reserved. 15 17. With HTAP, the Operational Schema Looks Like a DWSAP HANASAP HANALive(VirtualData Model)CustomerServiceRisk ManagementTeamFinance andOperationsAccountAdministrationExecutiveManagementCustomers Inventory Channel Products Suppliers Pricing Accounting Planning Forecasting 2014 SAP SE or an SAP affiliate company. All rights reserved. 16 18. Big Data Architecture Directions: Short TermDataWarehouseBIToolsHadoop HTAPWhere does data arrive?When does it need to move?Where does modeling happen?What can users do themselves?What governance is required? 2014 SAP SE or an SAP affiliate company. All rights reserved. 17 19. Big Data Architecture Directions: Long TermMetadata abstractionIncreasingly automatedLearning algorithmsContent & PrDoacteas s IncludedMetadata abstractionIncreasingly automatedLearning algorithmsContent and Process IncludedWarehouseBIToolsWhere does data arrive?When does it need to move?Where does modeling happen?What can users do themselves?What governance is required?Integrated Data SysteHmad (ocolopud and on-premise) Hadoop HTAPWhere does data arrive?When does it need to move?Where does modeling happen?What can users do themselves?What governance is required?Integrated Data System (cloud & on-premise)BITools 2014 SAP SE or an SAP affiliate company. All rights reserved. 18 20. Opportunity Areas for InnovationBig Data initiatives are typically in one of the following areas:Hyper-personalizeCustomer ExperiencePlan & optimizeResources inReal TimeEngage & empowerWorkforce of theFutureHarness the intelligence ofNetworked Economy 2014 SAP SE or an SAP affiliate company. All rights reserved. 19 21. Using Big Data to Improve the Customer Experience 2014 SAP SE or an SAP affiliate company. All rights reserved. 20 22. 80% of CEOs think they deliver a superior customerexperience but only 8% of customers agree.Source: The New Yorker 2014 SAP SE or an SAP affiliate company. All rights reserved. 21 23. Real-Time Retail Insights 2014 SAP SE or an SAP affiliate company. All rights reserved. 22 24. Social Data 2014 SAP SE or an SAP affiliate company. All rights reserved. 23 25. Unstructured Data1 patient every 4s = 7M/yearCombine structured and unstructured datafor complaint handling and patientexperience reporting 2014 SAP SE or an SAP affiliate company. All rights reserved. 24 26. OmniChannel 2014 SAP SE or an SAP affiliate company. All rights reserved. 25 27. Sharing Data with Customers 2014 SAP SE or an SAP affiliate company. All rights reserved. 26 28. 2014 SAP AG. All rights reserved. 27 29. Optimizing the Customer ExperienceExperience IntelligenceCenterEvent Interception Business Transformation 2014 SAP SE or an SAP affiliate company. All rights reserved. 28 30. Optimizing the Customer Experience (cont.) 2014 SAP SE or an SAP affiliate company. All rights reserved. 29 31. New Products and Services 2014 SAP SE or an SAP affiliate company. All rights reserved. 30 32. Using Big Data to Empower Employees 2014 SAP SE or an SAP affiliate company. All rights reserved. 31 33. Worldwide, Only 13% of Employees Are Engaged at Work30%17% 16%9%100%75%50%25%0%USA UK Canada FranceActively DisengagedNot EngagedEngagedSource:Gallup State of the GlobalWorkplace Report 2013 2014 SAP SE or an SAP affiliate company. All rights reserved. 32 34. Getting Data into the Hands of EmployeesAdapting to the analyticsneeds of your employees 2014 SAP SE or an SAP affiliate company. All rights reserved. 33 35. Self-Service Analytics 2014 SAP SE or an SAP affiliate company. All rights reserved. 34 36. Analytics Collaboration 2014 SAP SE or an SAP affiliate company. All rights reserved. 35 37. Collaborative Analytics 2014 SAP SE or an SAP affiliate company. All rights reserved. 36 38. Using Big Data to Optimize Resource Use01011011000101010101010010101001111010101010010111010101010101010010010100100100101110110101010 2014 SAP SE or an SAP affiliate company. All rights reserved. 37 39. Wearable devices have grown by 2x month over monthsince October 2012.Source: Mary Meekers Internet Trends, 2013Photo: Intel Free Press 40. The Datafication of Daily Life 2014 SAP SE or an SAP affiliate company. All rights reserved. 39 41. Unexpected Uses of Existing DataSource: https://jawbone.com/blog/napa-earthquake-effect-on-sleep/ 2014 SAP SE or an SAP affiliate company. All rights reserved. 40 42. The Datafication of Reading 2014 SAP SE or an SAP affiliate company. All rights reserved. 41 43. Sensors Allow Tracking of the Previously Untrackable 2014 SAP SE or an SAP affiliate company. All rights reserved. 42 44. Sensors + Cloud + Mobile + Analytics1. Install flow sensors on your beer lines2. The sensors beam data to boxplugged into the internet3. Data sent to HANA inthe cloud4. Mobile interfaces toanalyze consumptionhttp://weissbeerger.com/ 2014 SAP SE or an SAP affiliate company. All rights reserved. 43 45. Sensors + Cloud + Mobile + Analytics (cont.) 2014 SAP SE or an SAP affiliate company. All rights reserved. 44 46. Using Sensors to Gather Logistics Data 2014 SAP SE or an SAP affiliate company. All rights reserved. 45 47. Aggregating Information and Providing to Customers 2014 SAP SE or an SAP affiliate company. All rights reserved. 46 48. Sensors + Analytics + Predictive Maintenance 2014 SAP SE or an SAP affiliate company. All rights reserved. 47 49. Making It Easier to Add Sensors 2014 SAP SE or an SAP affiliate company. All rights reserved. 48 50. Using Big Data for Business Networks 2014 SAP SE or an SAP affiliate company. All rights reserved. 49 51. Network AnalysisChurn model accuracyimproved by 47% withsocial 2014 SAP SE or an SAP affiliate company. All rights reserved. 50 52. Network Analysis (cont.) 2014 SAP SE or an SAP affiliate company. All rights reserved. 51 53. Business Networks Are Becoming Information NetworksProcurementSalesFinanceLogisticsSupply ChainSustainabilityComplianceBuyers SuppliersPartnersAriba NetworkMore than 1M suppliers inmore than 190 countriesaround the worldTransact with suppliers TheNetwork handles over $460billion per year in commerceReduce supply costs Customers save a combinedtotal of $82M daily 2014 SAP SE or an SAP affiliate company. All rights reserved. 52 54. Creating Information Communities 2014 SAP SE or an SAP affiliate company. All rights reserved. 53 55. Information Communities Interact with consumer in the field Run mobile marketing campaignsbased on consumer profile andlocation Receive information, discounts &Special offers Interact with consumer in real-timeanywhere, anytime. Design and run mobile marketingcampaigns based on consumer profileand location Analyze consumer behavior in the fieldSAP Precision RetailingBICRMPartnersMerchantsOutingsTransports 2014 SAP SE or an SAP affiliate company. All rights reserved. 54 56. How It WorksSelect Rate & Order Deliver & LearnValid at thistimeFor myprofile(segments)In thestore(s)nearbyEligibleoffersTop xWhat time is it ?Where am I?What is my personal profile?What is my CRM profile?The rating is based on thelearning engine and on thecharacteristics of the shoppingcontext, the consumerpreferences, and thefrequency of presentation.What are my preferences ?Where am I?What is my personal profile?What is my CRM profile? 2014 SAP SE or an SAP affiliate company. All rights reserved. 55 57. The SAP Big Data Strategy 2014 SAP SE or an SAP affiliate company. All rights reserved. 56 58. SAP Big Data ArchitectureBig DataDevelopmentToolsIndustryAppsLine ofBusinessAppsDataConnectorsIn-memory &petabyte-scaleETLVisualization& ExplorationAdvancedAnalyticsReportingStreamingAnalyticsBI & 2014 SAP SE or an SAP affiliate company. All rights reserved. 57 59. Three Core Areas of Big Data StrategyData ScienceBig DataAnalytics & AppsApply AchieveBig Data PlatformAccelerate 2014 SAP SE or an SAP affiliate company. All rights reserved. 58 60. The SAP HANA Platform and HadoopCustom Apps Mobile Apps Big DataData Ingestion AcquisitionAppsERP Apps SAP AnalyticsSAP HANA PLATFORMIn-memory processing platform for real-time transactions + end-to-endanalytics that offers massive simplification.Extended Application ServicesProcessing EngineDatabase Services(OLTP + OLAP)UnifiedAdministrationApplicationDevelopmentApplication Function Libraries & Data ModelsIntegration ServicesSmart DataAccessTransferDatasetsSAP ERPBWSAP IQWeb /SensorCallCenterOtherData SourcesSAP SLT /Rep ServerSAP SQLAnywhereSAP ESPSAP DataServicesHadoopAdapterHadoopHiveHortonworks DataPlatformIntel Distributionfor HadoopPartner HadoopDistributions 2014 SAP SE or an SAP affiliate company. All rights reserved. 59 61. Front-End Tools Adapted to Different NeedsDECISIONMAKERDESIGNERExplore MonitorDesignPlan PeopleGovern DATA Enrich ExplainDATAANALYST/SCIENTISTENGAGEEnterprise BIVISUALIZEAgile VisualizationsPREDICTAdvanced Analytics 2014 SAP SE or an SAP affiliate company. All rights reserved. 60 62. Big Data Applications E.g., Risk, Sensing, 2014 SAP SE or an SAP affiliate company. All rights reserved. 61 63. Wrap-Up 2014 SAP SE or an SAP affiliate company. All rights reserved. 62 64. 7 Key Points to Take Home1. Big Data is a huge opportunity2. Get closer to your customers through better insight and hyper-personalization3. Use datafication to make better use of resources4. Empower your employees to make better decisions5. Leverage your business networks6. Big data is the heart of your next IT platform simplicity and flexibilityare essential7. The biggest barriers are ideas and culture use design thinking to help 2014 SAP SE or an SAP affiliate company. All rights reserved. 63 65. Thank youTimo Elliott, [email protected]: @timoelliottBlog: timoelliott.com 2014 SAP SE or an SAP affiliate company. All rights reserved. 66. 2014 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 anSAP 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 additionaltrademark 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 orSAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products andservices, 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 relatedpresentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SEs or its affiliatedcompanies strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may bechanged 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 uncertaintiesthat could cause actual results to differ 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 purchasing decisions. 2014 SAP SE or an SAP affiliate company. All rights reserved. 65