http://timoelliott.com/blog - Keynote presentation from the SAP Analytics Innovation Tour, ANZ -- turning big data into decisions, using signal data to make business change

1. Big Data Analytics
Drive Data to Decision
Timo Elliott, SAP, February 2013 Public

2. TODAY’S PRINCIPAL
BUSINESS METRICS
ARE OVER A 2
CENTURY OLD
• Financial statements
• Balance sheets
• Net income
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3. SOME PEOPLE WOULD
EASILY RECOGNIZE THEM
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4. TRADITIONAL FINANCIAL METRICS
ARE BACKWARD-LOOKING
Most
Established
KPIs too
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5. WHEN WE REALLY NEED
TO BE LOOKING FORWARD
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6. BUT TYPES AND VOLUMES OF DATA
HAVE GROWN
RADICALLY
Demand
CRM Data Sales Order
Mobile Instant Messages
Transactions Big Data
Things
Customer
Sales Order
Planning CRM Data
Things
Opportunities Inventory
Demand
Mobile
Big Data Customer
Planning Transactions
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7. TODAY WE MEASURE AVAILABLE DATA IN
ZETTABYTES
IN 2011, THE AMOUNT
OF DATA SURPASSED
90% OF THE DATA IN THE WORLD TODAY
has been created in the last two years
alone
1.8
ZETTABYTES
COMBINED GDP OF:
1.8 57.5 = TRILLION = $34.4 • US • France
ZETTABYTES = BILLION
32 GB iPads
•
•
•
Japan
China
Germany
• UK
• Italy
**IDC Digital Universe Study Extracting Value from Chaos
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8. BIG DATA DE-HYPED
“Big data” is high-volume, -velocity, and
-variety information assets that demand
cost-effective, innovative forms of
information processing for enhanced
insight and decision making.
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10. WHAT IF YOU COULD TURN NEW SIGNALS
INTO BUSINESS VALUE?
:-)
:-)
Brand Sentiment Predictive Maintenance Network Optimization Insider Threats
Higher NPS Less Downtime Lower Cost Greater Security
Product Recommendation
Asset Tracking Asset Tracking More Sales MaintenanceMitigation, Real-time
Personalized Care Predictive
Product Risk
Brand Sentiment Increase Productivity Less Downtime Retain Market Value
Increase Productivity Loyal Customers Recommendation
Higher NPS
More Sales Personalized Care
360O Customer View Propensity to Churn Loyal Customers
Loyal Customers Greater Retention
Insider Threats
Fraud Detection
Greater Security
Lower Risk Network Optimization
Lower Cost
Propensity to Churn Real-time Demand/ 360O Customer View Fraud Detection
Risk Mitigation, Real-time
Greater Retention Supply Forecast Loyal Customers
Real-time Demand/Supply Forecast Value Lower Risk
Retain Market
More Efficient More Efficient

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12. © timoelliott.com
“When you two have finished arguing your opinions, I actually have data!”
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16. IN-MEMORY
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17. FASTER
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18. SMARTER
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19. Expected IT Benefits of In-Memory Technology
SIMPLER
Source: IDC SAP HANA Market Assessment Survey, 2011
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20. THE NEW INFORMATION CONSUMER…
Responsive
Accessible Engaging
10% 75%
today by 2020
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21. BREAKING DOWN BARRIERS
“New Reality: In-memory computing is ripping up the rules”
- Gartner
Plan Past
Act Future
Structured
Unstructured
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22. POWER
AGILITY ENTERPRISE
Big Data Analytics Cloud Mobile Social
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23. INNOVATION
SAP VISUAL INTELLIGENCE
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25. Extend your analytics capabilities where you want to be…
Sense & Respond Predict & Act
Competitive Advantage
Optimization
Predictive
Modeling What is the best that
could happen?
Generic
Predictive
Analytics
Ad Hoc
Reports & What will happen?
OLAP
Standard
Cleaned Reports
Raw Why did it happen?
Data
Data
What happened?
Analytics Maturity
The key is unlocking data to move decision making from sense & respond to predict & act
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26. “SAP is a newcomer to big data predictive
analytics but is a Leader due to a strong
architecture and strategy.” Forrester
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27. MOBILE
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30. Faster  Smarter  Simpler
ANALYTICS
OPERATIONS
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31. Real-Time Data Platform
Custom Big
Cloud Mobile SCM ERP Planning Analytics EDW
EDW/
EDW
Apps Data
DM
SAP Real-Time Data Platform
Extreme Data Management Capabilities to
transact | move | store | process | analyze | deliver
Information Governance
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32. DATA QUALTY
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33. Applications for Data Stewards
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34. Business Solutions
Retail
High Tech
Oil & Gas
Consumer Products
Telco
Analysis
Etc.
Action
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35. Intelligent Retail
Store operations
Omni-channel experience
Customized promotions
Optimized inventory
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36. CUSTOMER SPOTLIGHT
HSE24
• Cross-sell based on the
consumer, not just the product
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37. CUSTOMER SPOTLIGHT
BURBERRY
• Improve customer experience
and loyalty
• Become #1 IT-driven fashion
retailer
• Personalized Burberry client
iPad app
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38. CUSTOMER SPOTLIGHT L’Oréal
• Be a trusted advisor for
customers
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39. Coinstar
• Inventory
Optimization
• Real time Offers
• Servicing
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40. INTELLIGENT BANKING
Customer-centric banking
Aggregated risk
Liquidity risk management
Prevent Fraud, Money Laundering
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42. Improve patient outcome
Improve doctor/patient relationships
More preventative healthcare
Higher quality of life for patients
INTELLIGENT HEALTHCARE
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43. Mitsui Knowledge Industry
Healthcare – Speed Research & Improve Patient Support
Business Challenges
408,000x  Reduce delays and minimize the costs associated with new drug
faster than discovery by optimizing the process for genome analysis
traditional disk-  Improve and speed decision making for hospitals which conduct
based systems in a cancer detection based on DNA sequence matching
technical PoC
Technical Implementation
 Leveraged the combination of SAP HANA, R, and Hadoop to
store, pre-process, compute, and analyze huge amounts of data
216x faster by  Provide access to breadth of predictive analytics libraries
reducing genome
analysis from Benefits
several days to  For pharmaceutical companies, provide required new drugs on
only 20 minutes time and aid identification of “driver mutation” for new drug targets
making real-time  Able to provide a one stop service including genomic data
cancer/drug
analysis of cancer patients to support personalized patient
screening possible
therapeutics
“ ”
Our solution is to incorporate SAP HANA along with Hadoop and R to create a single real-time big data platform. With this we
have found a way to shorten the genome analysis time from several days down to only 20 minutes.
Yukihisa Kato, CTO and Director of MITSUI KNOWLEDGE INDUSTRY
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44. Real-time performance management
Fast financial close
Efficient payables and receivables
Treasury exposure management
Real-time compliance
INTELLIGENT FINANCE
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45. INNOVATION
SAP SUITE ON HANA
SOLUTIONS FOR FINANCE
REAL-TIME PERFORMANCE
Performance Financial Treasury Finance
Compliance
Management Close Management Operations
POWERED BY SAP HANA
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47. INNOVATION
SAP FRAUD MANAGEMENT
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48. INTELLIGENT CITIES
Citizen safety and security
Smarter city governance
Sustainable cities
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50. NFL
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51. NBA.com/stats
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53. Bigpoint
Gaming Industry - Predictive Game Player Behavior Analysis
Business Challenges
5,000 events per  Increase conversion rates from free  paying player
second loaded onto
SAP HANA (not  Increase the average revenue per paying player
possible before)  Decrease churn – keep paying players playing longer
Technical Challenges
 Leverage real-time data processing in SAP HANA and
10-30% classification algorithms with R integration for SAP HANA to
increase in revenue deliver personalized context-relevant offers to players
per year  Analyze vast amounts of historical and transactional data to
forecast player behavior patterns
Interactive Benefits
data analysis  Real-time insights
leading to improved  Per player profitability analysis and increased understanding of
design thinking and player behavior
game planning  Increase data volume and processing capabilities to
communicate personalized messages to players
“”
At Bigpoint in the Battlestar Galactica online game, we have more than 5,000 events in the game per second which we have to
load in SAP HANA environment and to work on it to create an individualized game environment to create offers for them. In this
co-innovation project with SAP HANA, using Real Time Offer Management Bigpoint, we hope to increase revenue by 10-30%.
Claus Wagner, Senior Vice President SAP Technology, Bigpoint
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54. A Platform for
Everyone
Free developer
licenses, easy access
to HANA in the Cloud
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57. THE POSSIBILITIES ARE ENDLESS…
Instantly predict market trends Provide exactly the right offers
and customer needs and service levels to every
customer
Predict how market price Have a continuously-updated
volatility will impact your window onto future sales,
production plans showing changes in real time
See changes in demand or Understand what your
supply across your entire customers and potential
Supply Chain immediately customers are saying about
you, right now
Monitor and analyze all Predict cash flows to manage
deviations and quality issues collections, risk and short-term
in your production process borrowing in real time
Design Thinking
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58. DATA TO DECISION
DATA TO DECISION
Capture Analyze Engage
Analytic applications Industry Line of Business
from SAP
Enterprise
Analytic solutions Business
Performance
Governance, Risk,
from SAP Intelligence Compliance
Management
Real-time Databases In-memory
Information
data platform management

59. Introducing SAP HANA Insights
Traditional Stack
DBA and
IT Costs
TCO Reduction
by Approx 60%
Predictive
BI tools
SAP HANA Insights
Analytic DB
DBA and IT Costs
ETL
SAP HANA Insights
Predictive
Relational DB
BI Suite
HANA Enterprise
Built by Sanjay Poonen, Copyright SAP, Representative figures based off CIO interviews, showing approximate proportional quantities of IT spending in Analytics
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60. Teamwork
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61. IT’S TIME FOR ANALYTICS LIKE
NEVER BEFORE
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62. Thank you
Timo Elliott, SAP
Email: timo.elliott@sap.com
Twitter: @timoelliott
Blog: timoelliott.com