David Ginsberg, Chief Data Scientist, SAP, will present at the 4th Annual MIT Chief Data Officer Forum on March 27, 2014, and will be discussing how to use data science to transform your business. Learn more about data science here: http://www.sapbigdata.com/services/#sthash.QxJuYZym.dpbs

1. ConfidentialMarch 27, 2014
Using Data Science to Transform Business
David Ginsberg, Chief Data Scientist, SAP

2. Agenda
• Introduction to Data Science
• Forecasting the Future
• Insights and Optimization
• Big Data, Small Window of Time

3. SAP’s Data Science Organization
Addressing unique business challenges
• Top level (PhD) global team
• Success with 100’s of engagements
• IP and pioneering Retail econometrics
• Business, industry, and technical
knowledge: backend, user experience
Team
 Retail/CPG
 Manufacturing
 Oil and Gas, Utilities
 Transport & Logistics
 And more
Industry Expertise
• Data Mining, Signal Detection for
compliance and business insights
• Mathematical Modeling to forecast
& predict future performance
• Simulation to assess scenarios
• Optimization for best results
Scientific Competencies
Platform Data Science User ExperienceIndustry Use Cases
+ +


2
)2/(
)(
2)( 2


x
e
xf

4. Data Science Achieves Breakthrough Performance
Sample Business Questions – Answered
Understand Your Customers at the Most Detailed Level
• How to grow the business by catering to local tastes, adjusting pricing and upselling successfully?
Meet the Demand
• How to deploy assets most effectively in order to meet demand, balance service levels and optimize
financial results?
Win the Game
• How can we achieve the desired trade-off between profit and market share?

5. Forecasting the Future
Be the CEO: NFL Player Comparison Tool
http://www.nfl.com/fantasyfootball
• Mass Access to Models
• Disparate Data Sources
• Models updated daily
• Custom or automatic

6. Untangling The Signal
Railway Forecasts Performance at All Levels of the Hierarchy
• Separate Performance from the Market
• Big Data: Volume, Variety, Complexity
• Years of Sales and Operations data
• Thousands of macro economic indicators
• Unstructured data: social, customer interactions
• Business units x Products x Locations x Customers
• Action
• Strategic decisions on where to focus
• Tactical focus on to improve performance

7. Big Data Insights
Fraud Waste and Abuse (a) Tax Discovery, (b) Circular Trading

8. Optimization: Railway Inventory Simulation and Optimization

9. Big Data, Small Time Window
Transformation: A Utility Becoming a Data Company
http://www.youtube.com/watch?v=FkVKsGvFTLU
&feature=youtu.be
View video

10. For More Information
Visit www.sap.com/bigdata