Changing the Game © 2013 SAP AG or an SAP affiliate company. All rights reserved. 1 We are entering into a new era of unprecedented change across a multitude of dimensions Rising Customer Expectations A Dramatically Changing Workforce Pressure on Resources 5 billion 75% 50% people worldwide will become middle class of global workforce will be Millennials of the world’s population will live under water shortage Network Effect/Explosion in Structured and Unstructured data 1.3 billion 50 billion people on business & social networks today connected devices and “internet of things” by 2030 Challenge: complexity built up over decades hampers the ability to innovate; radical simplification is needed to unlock the potential 28% Drive business innovation Drive business innovation 72% Keep the lights on Consumption of new technologies to differentiate User experience the ability to engage customers and users Technology stack Forrester IT survey, 2013 “ Keep the lights on of multiple layers of hardware & software 40% executives worry that their organizations will not keep pace with technology change and lose their competitive edge. – McKinsey study, 2013 © 2013 SAP AG or an SAP affiliate company. All rights reserved. ” Public 3 Embrace Modern/Next Gen Application Paradigms to Drive Agility for the Business Combine different information access approaches: search, analysis and exploration No clear separation between transactional and analytical parts of the application Leverage data of different degrees of structure and quality, from well-structured to irregularly structured to unstructured text data Flexibly combine internal and external data based on business decisions to be made - not just the set of available data Based on "real-time" current data and historical data Support different form factors and deployments models, including cloud and on-premise. 4 How have we tried to solve this? Is there a better way? Rapid Advances in … In Memory Processing Columnar Storage Multicore Architecture Massively Parallel Hardware Dramatic Decline in hardware prices 6 SAP’s approach: Closing in on Real-time • Only Detail Level Data stored, all in memory • No data duplication • No Aggregates • No Indexes • Columnar – Fast on any query • Any view can be derived from detail data on the fly • Eliminates data latency • Load and Go Rethinking the DW as a Logical Data Warehouse Lightning Speed Results In-memory Platform SQL Or River DW Orch. Business Application s Tightly Integrated Management, Monitoring and Control Logical Data Layer ETL & Rep Stream SDA Column Storage Real-time Events / Machine-generated Data Petabytes of Structured Data SDA Op RDBMS MapReduce/ Hive Other Sources Load Source Databases 8 Simpler data footprint Simplified financials with SAP HANA Accounting with Financials on SAP HANA Accounting in the Past Interface Financal Documen ts Indices for Processing & Reporting Totals for Processing & Reporting RW-Interface CO Document SAP HANA Views: On-The-Fly FI Document Logical OneDocument Index for G/L Index for A/P Index for A/R Totals Totals Totals Totals Totals Totals Totals OM PA GL Cons SL A/P A/R General Journal Payables Receivable Revenue s & Cost Fixed Assets Material Investion One Document for Accounting • Data only stored once and not replicated nor reconciled (less code) • As there is only one database table to be updated, data throughput is extremely fast and parallelization can be applied w/o limiting data dependencies • As a consequence, adaptations or extensions have to be performed only once as all additional information is calculated on the fly 9 Simplify with SAP HANA today Experience benefits like these 71% Reduction in batch processing times 75% Savings in new system interface development Simpler Data Processing and Operations Simplified User Experience Simpler Landscape Applications 2½ SAP HANA Platform Simplicity days to install and configure the hardware & begin replication Simpler Setup Analytics 79% Less complexity & lines of code Partner s & Startup s 50x Reduction size of data Simpler Data Footprint 500 ms To find every point of contact for a given customer Simpler User Experience Simpler Application Development 10 Simplification To Drive Change for the Business Add Product lines A and B and rest of Europe to our next 6 months analysis Region Sales Classic Ad Hoc Analytics LOB Product mfg Extract/ Transforms/ DQ / staging DBs CIO EDW (Historical) We will have to write some custom code and regressions Custom Data mart SAS Answer 45 days R Prod lines LOB Add Product lines A and B and rest of Europe to our next 6 months analysis Reg Mfg PAL+ CIO Query / Algorithm Let’s ask the system right now “Analytics on the Fly” Prod 11 These architectures are logical and mapped to needs Use whatever tool or UI to view your data (SAP has a few ready for you) BusinessObjects, Lumira, Custom Application, Predictive Analysis Use data from any system, SAP or non-SAP, business or sensor, ... Query billions of records combined from many sources ad-hoc in seconds Enjoy fast programs (using many queries Query Engine, Rules Engine XS Engine, SQL, SQLScript, JavaScript Data Services/SLT Listen to 1-2 million records per second and only keep what is interesting Make use of built-in sophisticated statistical algorithms Explore statistics ... or let the system make a best proposal Predictive Analytics Library KXEN InfiniteInsight Event Stream Processor Connect to many terabytes and petabytes of backend data Treat text as just another query aspect. Search and relate. Treat geographic location as just another query aspect Hadoop integration/Data staging Text analysis engine Geospatial data types Reuse your SAS models with high-speed execution SAS integration Reuse your R models (your local statistician will know) with high-speed integration R integration 12 Predictive Analytics for full spectrum of users Skillset Level None Low LoB & Business Users 90% Medium High Business Analysts Data Scientist 3-10% 0.1% SAP Predictive RDS SAP Data Science Preconfigured industry & LOB content to accelerate predictive projects Industry expertise, science-based service & performance & predictive analytics SAP Lumira SAP InfiniteInsight SAP Predictive Analysis SAP PAL R Integration SAP ADVANCED ANALYTICS © 2014 SAP AG or an SAP affiliate company. All rights reserved. 13 13 The Fastest Path for Enterprise Apps SIMPLIFICATION ACCELERATION INNOVATION “We aren’t spending 4 weeks to add and test new BI requirements – it’s done in 20 min.” “I can run my business differently. I can optimize for revenue; for fill rate; run different scenarios and [find] opportunities we didn’t have before.” “Think about a problem you can’t solve – a 10 or 50 million dollar problem… and you apply HANA. That’s the real return.” Jody Giles, CIO, Under Armour James Cocca, CIO, Spirit AeroSystems Pawel Mierski, Molson Coors 14 HANA Cloud Platform Extend Cloud Apps Extend On-Premise Apps Build New Cloud Apps SAP HANA Cloud Platform enables customers and partners to extend existing applications and build new ones on top of the SAP HANA platform and in the cloud. 16