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ConfidentialMarch 27, 2014
Using Data Science to Transform Business
David Ginsberg, Chief Data Scientist, SAP
Agenda
• Introduction to Data Science
• Forecasting the Future
• Insights and Optimization
• Big Data, Small Window of Time
SAP’s Data Science Organization
Addressing unique business challenges
• Top level (PhD) global team
• Success with 100’s o...
Data Science Achieves Breakthrough Performance
Sample Business Questions – Answered
Understand Your Customers at the Most ...
Forecasting the Future
Be the CEO: NFL Player Comparison Tool
http://www.nfl.com/fantasyfootball
• Mass Access to Models
•...
Untangling The Signal
Railway Forecasts Performance at All Levels of the Hierarchy
• Separate Performance from the Market
...
Big Data Insights
Fraud Waste and Abuse (a) Tax Discovery, (b) Circular Trading
Optimization: Railway Inventory Simulation and Optimization
Big Data, Small Time Window
Transformation: A Utility Becoming a Data Company
http://www.youtube.com/watch?v=FkVKsGvFTLU
&...
For More Information
Visit www.sap.com/bigdata
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How Data Science Can Help Transform Business

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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

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  • Transcript of "How Data Science Can Help Transform Business"

    1. 1. ConfidentialMarch 27, 2014 Using Data Science to Transform Business David Ginsberg, Chief Data Scientist, SAP
    2. 2. Agenda • Introduction to Data Science • Forecasting the Future • Insights and Optimization • Big Data, Small Window of Time
    3. 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. 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. 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. 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. 7. Big Data Insights Fraud Waste and Abuse (a) Tax Discovery, (b) Circular Trading
    8. 8. Optimization: Railway Inventory Simulation and Optimization
    9. 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. 10. For More Information Visit www.sap.com/bigdata
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