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MOONSHOTS for in-memory computing

  1. "Moonshots" for SAP HANA A Real Time DATA Platform Ugur Candan COO SAP Turkey @ugurcandan
  2. MANAGEMENT EXECUT#I1O SNPEED OF CHANGE #2 HYPER COMPETITION #3 HARD TO DIFFERENCIATE
  3. WHAT ARE THE MOST IMPORTANT INVENTONS OF THE LAST 100 YEARS ?
  4. WHAT ARE THE MOST IMPORTANT INVENTONS OF THE LAST 100 YEARS ? COMBUSTION ENGINE SEMICONDUCTORS MODERN MEDICINE THE INTERNET ELECTRIC MOTOR TELEPHONE GPS AUTOMOBILE TELEVISION GENE SEQUENCING
  5. 1900 1915 2014 MANAGEMENT STILL LOOKS AT GENERAL LEDGER P&L CASH FLOW BUDGETING ORG CHART
  6. 1890 DEVELOPED PART OF THE WORLD AVARAGE # EMPLOYEES LESS THAN 4 1915 500,000 CARS / YEAR US STEEL CORP 1B$ MARKET CAP WHAT WE CALL MANAGEMENT
  7. WHAT WE CALL MANAGEMENT 1890 1915 PAY FOR PERFORMANCE CAPITAL BUDGETING TASK DESIGN BRAND MANAGEMENT DIVISIONALISATION ….
  8. 1 CO2 EMISSION INTERNET CONNECTION DATA SIZE GENES SEQUENCED CONNECTED DEVICES …. #1 SPEED OF CHANGE #2 HYPER COMPETITION #3 HARD TO DIFFERENCIATE
  9. PROFIT IS REVENUE - COST GROWTH SIMPLIFICATION #1 SPEED OF CHANGE #2 HYPER COMPETITION #3 HARD TO DIFFERENCIATE
  10. MANAGEMENT EXECUT#I1O SNPEED OF CHANGE #2 HYPER COMPETITION #3 HARD TO DIFFERENCIATE
  11. Complexity – A CEO’s Challenge Complexity costs the top 200 global companies 10.2% of annual profits. 80% global CEOs say executives say fighting complexity is a personal priority. ” – PwC, 9th Annual Global CEO Survey “ An equivalent of 5.8 billion TL For Fortune Turkey Top 200 Companies
  12. PROFIT IS REVENUE - COST GROWTH SIMPLIFICATION #1 SPEED OF CHANGE #2 HYPER COMPETITION #3 HARD TO DIFFERENCIATE
  13. "Moonshots" That’s one small step for man, one giant leap for mankind Neil Armstrong 1930 -2012
  14. MOONSHOTS FOR TODAY NEUROSCIENCE SYNTHETIC BIOLOGY ‘OMICS’ REVOLUTION NANO TECHNOLOGY ARTIFICIAL INTELLIGENCE NUCLEAR PHYSICS ….
  15. DETERMINISTIC PROBABILISTIC 1915 2015
  16. MICROPROCESSORS AND SOFTWARE AN APPLYING TO EVERYTHING AROUND US WORLD IS THE NEW GADGET
  17. CPU vs MEMORY SPEED "POWER WALL + MEMORY WALL + ILP WALL = BRICK WALL" STATIC vs DYNAMIC ENERGY A DEEPER INSTRUCTION PIPELINE REALLY MEANS DIGGING A DEEPER POWER HOLE
  18. HARDWARE IS CHANGING AND SOFTWARE IS CHANGING SUBTRACT ASSEMBLE ADD COMPUTERS -> MACHINES MACHINES -> MACHINES YESTERDAYS SOFTWARE TOOLS ARE FAILING ENGINEERS COMPUTER IS NOT A SCARCE RESOURCE 1000 X 1 = 1 x1000 NANO BIO CODE -> MATERIALS AND STRUCTURES PROGRAM -> MATERIALS
  19. TEXT 14 DAYS 1,000 USD
  20. GSP ALGORITHM APRIORI ALGORITHM FREESPAN PREFIXSPAN MAPRES SPADE CSPADE GREEDY MOTIF SEARCH HAMILTONIAN PATH PROBLEM EULERIAN PATH PROBLEM DEVIDE AND CONQUER CASTLE WALL THE WASTE POOL DEPTH PING BOSTON SHUFFLE BOT VS BOT LIFE AND DEATH SEA OF BATS BUCKAROO BANZAI ROCK STAR THE TICKLER PACIFIC RIM ALMOST HUMAN THE KNIFE …
  21. FASTER CONNECTED SMARTER
  22. Big Table Real Time Data Challanges Storm Big Data Challanges Dremel /Drill Scuba Stinger Twemcache
  23. BIG BANGKING NETWORKED INSURANCE FUTURE RETAIL POLITES SMART UTILITY INDUSTRY THEMES CROSS-INDUSTRY PENTRAGRAM IOT T-COMMERCE MAKERS MOVEMENT DooH
  24. SAP Cloud: A Solid Foundation to Build Upon 44M 25 15M 2M+ $1.7B Industry’s most complete Cloud portfolio The leading social business platform Largest business Cloud deployments Annualized run rate in Cloud business Industry’s largest base of Cloud users
  25. INNOVATION PREVIOUSLY INFEASIBLE PREDICT AND ANALYZES GAME PLAYER BEHAVIOR IN REAL-TIME Real-time insights, analysis, and consumer engagement for increased revenue and decreased churn ©2011 SAP AG. All rights reserved. 31
  26. ADOBE GETS PERSONAL WITH CUSTOMERS In the past, it was necessary to wait 24 hours to ascertain a promotion’s impact. Within-memory computing, that data is available within minutes, enabling Adobe to tweak the promotion immediately to improve results
  27. ALLIANDER ENERGIZES ITS BUSINESS WITH REAL-TIME ANALYTICS Collecting and analyzing the enormous amounts of data required 10 weeks of effort. As a result, Alliander would only perform forecasting and grid optimization once a year. With in-memory computing, that process can be ccomplished in a mere three days.
  28. GLOBUS IS ALWAYS IN STYLE WITH IN-MEMORY TECHNOLOGY DETECTION OF SLOW SELLING PRODUCTS 22 minutes to 17 seconds 800,000 products through a network of some 3,500 suppliers
  29. SIMPLICITY PREVIOUSLY UNACHIEVABLE EBAY EARLY SIGNAL DETECTION SYSTEM POWERED BY PREDICTIVE ANALYTICS Automated signal detection system to proactively respond to real-time market dynamics
  30. Product: Agile Datamart Business Challenges  Lack of real-time insights into POS data make it difficult to create effective, tailored sales promotions and marketing campaigns  Need shorter response time for customer segmentation to plan sales campaigns Technical Challenges  Inability to process big data (billions) POS records quickly because of high latency and static reporting  Shop floor staff not able to access relevant information on-the-fly, with iPad Benefits  Real-time insights into POS data improve customer satisfaction and merchandising  Dynamic personalized offerings while customer is at store or on web site Yodobashi - POS Data Analizi 250 million POS sales order line items 10-12 minute sales campaign planning (not possible before) 100,000x faster sales analysis – from 3 days to 2-3 seconds
  31. 12,000 Staff with 3,200 pure scientist, 650,000 patients/year, 1,4 B€ revenue 500,000 data points from each cancer patient. Instant patient data analysis during treatment
  32. MITSUI KNOWLEDGE INDUSTRY HEALTHCARE INDUSTRY – CANCER CELL GENOMIC ANALYSIS 408,000x faster than traditional disk-based systems in technical PoC 216x faster DNA analysis results - from 2,5 days to 20 minutes
  33. REINVENT LUXURY SERVICE
  34. BURBERRY The benefits of the SAP HANA platform are significant with a hugely simplified footprint. We’re putting the whole business on the SAP HANA Enterprise cloud ” “ © 2014 SAP AG or an SAP affiliate company. All rights reserved. 40
  35. LISTENING TO CUSTOMERS © 2014 SAP AG. All rights reserved. 41
  36. NEW PRODUCTS & SERVICES
  37. ENGAGE YOUR FANS
  38. 44
  39. EMPOWERING INDIVIDUAL PERFORMANCE
  40. Empowering Employees
  41. Unilever “if we knew then what we know now, we would have started deploying in-memory much earlier, because it’s so important for business... We think it’s even more disruptive than we initially thought — we’ve only just started” © 2014 SAP AG or an SAP affiliate company. All rights reserved. Marc Béchet, VP Global IT ERP, Unilever
  42. Sensors Enable New Processes and Applications Weissbeerger Beverage Analytics
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