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"Moonshots" for SAP HANA 
A Real Time DATA Platform 
Ugur Candan 
COO 
SAP Turkey 
@ugurcandan
MANAGEMENT 
EXECUT#I1O SNPEED OF CHANGE 
#2 HYPER COMPETITION 
#3 HARD TO DIFFERENCIATE
WHAT ARE THE 
MOST 
IMPORTANT 
INVENTONS OF 
THE LAST 100 
YEARS ?
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
1900 
1915 
2014 
MANAGEMENT STILL LOOKS AT 
GENERAL LEDGER 
P&L 
CASH FLOW 
BUDGETING 
ORG CHART
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
WHAT WE CALL 
MANAGEMENT 
1890 1915 
PAY FOR PERFORMANCE 
CAPITAL BUDGETING 
TASK DESIGN 
BRAND MANAGEMENT 
DIVISIONALISATION 
….
1 
CO2 EMISSION 
INTERNET CONNECTION 
DATA SIZE 
GENES SEQUENCED 
CONNECTED DEVICES 
…. 
#1 SPEED OF CHANGE 
#2 HYPER COMPETITION 
#3 HARD TO DIFFERENCIATE
PROFIT IS 
REVENUE - COST 
GROWTH SIMPLIFICATION 
#1 SPEED OF CHANGE 
#2 HYPER COMPETITION 
#3 HARD TO DIFFERENCIATE
MANAGEMENT 
EXECUT#I1O SNPEED OF CHANGE 
#2 HYPER COMPETITION 
#3 HARD TO DIFFERENCIATE
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
PROFIT IS 
REVENUE - COST 
GROWTH SIMPLIFICATION 
#1 SPEED OF CHANGE 
#2 HYPER COMPETITION 
#3 HARD TO DIFFERENCIATE
"Moonshots" 
That’s one small step for man, one giant leap 
for mankind 
Neil Armstrong 
1930 -2012
MOONSHOTS FOR TODAY 
NEUROSCIENCE 
SYNTHETIC BIOLOGY 
‘OMICS’ REVOLUTION 
NANO TECHNOLOGY 
ARTIFICIAL INTELLIGENCE 
NUCLEAR PHYSICS 
….
DETERMINISTIC 
PROBABILISTIC 
1915 2015
MICROPROCESSORS AND SOFTWARE 
AN APPLYING TO EVERYTHING AROUND US 
WORLD IS THE NEW GADGET
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
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
MOONSHOTS for in-memory computing
MOONSHOTS for in-memory computing
MOONSHOTS for in-memory computing
MOONSHOTS for in-memory computing
TEXT 
14 DAYS 
1,000 USD
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 
…
FASTER 
CONNECTED SMARTER
Big Table 
Real Time 
Data Challanges 
Storm 
Big Data 
Challanges 
Dremel /Drill 
Scuba 
Stinger 
Twemcache
MOONSHOTS for in-memory computing
MOONSHOTS for in-memory computing
BIG BANGKING NETWORKED 
INSURANCE 
FUTURE RETAIL POLITES SMART UTILITY 
INDUSTRY THEMES 
CROSS-INDUSTRY 
PENTRAGRAM 
IOT 
T-COMMERCE MAKERS 
MOVEMENT 
DooH
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
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
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
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.
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
SIMPLICITY PREVIOUSLY UNACHIEVABLE 
EBAY EARLY SIGNAL DETECTION SYSTEM POWERED BY PREDICTIVE ANALYTICS 
Automated signal detection 
system to proactively 
respond to real-time market 
dynamics
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
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
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
REINVENT LUXURY SERVICE
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
LISTENING TO CUSTOMERS 
© 2014 SAP AG. All rights reserved. 41
NEW PRODUCTS & SERVICES
ENGAGE YOUR FANS
44
EMPOWERING INDIVIDUAL PERFORMANCE
Empowering Employees
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
Sensors Enable New Processes and Applications 
Weissbeerger Beverage Analytics
MOONSHOTS for in-memory computing
MOONSHOTS for in-memory computing
MOONSHOTS for in-memory computing

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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 ….
  • 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
  • 23. TEXT 14 DAYS 1,000 USD
  • 24. 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 …
  • 26. Big Table Real Time Data Challanges Storm Big Data Challanges Dremel /Drill Scuba Stinger Twemcache
  • 29. BIG BANGKING NETWORKED INSURANCE FUTURE RETAIL POLITES SMART UTILITY INDUSTRY THEMES CROSS-INDUSTRY PENTRAGRAM IOT T-COMMERCE MAKERS MOVEMENT DooH
  • 30. 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
  • 31. 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
  • 32. 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
  • 33. 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.
  • 34. 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
  • 35. SIMPLICITY PREVIOUSLY UNACHIEVABLE EBAY EARLY SIGNAL DETECTION SYSTEM POWERED BY PREDICTIVE ANALYTICS Automated signal detection system to proactively respond to real-time market dynamics
  • 36. 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
  • 37. 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
  • 38. 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
  • 40. 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
  • 41. LISTENING TO CUSTOMERS © 2014 SAP AG. All rights reserved. 41
  • 42. NEW PRODUCTS & SERVICES
  • 44. 44
  • 47. 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
  • 48. Sensors Enable New Processes and Applications Weissbeerger Beverage Analytics