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THE HIGH-PERFORMANCE ORGANIZATION
                                                                                                                                       JIM DAVIS
                                                                                                SENIOR VICE PRESIDENT & CHIEF MARKETING OFFICER




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
INFORMATION
                                                           CHALLENGES
                                               MANAGEMENT




                                                                                           •    Demand on data is increasing
                                                                                           •    Complexity of data usage is growing
                                                                                           •    Expansion of the user base
                                                                                           •    Demand for quick response is growing




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
BIG DATA AND
                                                             KEY CONSIDERATIONS
                                                   ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
BIG DATA AND
                                                             KEY CONSIDERATIONS
                                                   ANALYTICS




                                                                                                Analytics

                                                                          Structured data
                                                                          Unstructured data
                                                                          Information management    Platforms
                                                                          “Big Data”



C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
BIG DATA WHAT IS IT?




                                                                  “Data that exceeds the processing capacity
                                                                  of conventional database systems.”




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
BIG DATA AND
                                                             KEY CONSIDERATIONS
                                                   ANALYTICS




                                                                                                 Which kind?

                                                            Data                                 Predict outcomes
                                                                                                 Quantifiable benefit


                                                                                                            Platforms

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
ANALYTICS ESTABLISHING DIFFERENTIATION




                                                                                                PROACTIVE




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
BIG DATA AND
                                                             KEY CONSIDERATIONS
                                                   ANALYTICS




                                                                                                Analytics
                                                            Data

                                                                                                       The “Cloud”
                                                                                                       Mobile
                                                                                                       High Performance Analytics

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
HIGH-PERFORMANCE
                     SAS IN-MEMORY ANALYTICS
           ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
HIGH-PERFORMANCE
                     SAS IN-MEMORY ANALYTICS
           ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
HIGH-PERFORMANCE
                     SAS IN-MEMORY ANALYTICS
           ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
HIGH-PERFORMANCE
                     SAS IN-MEMORY ANALYTICS
           ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
HIGH-PERFORMANCE
                     SAS IN-MEMORY ANALYTICS
           ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
HIGH-PERFORMANCE
                     SAS IN-MEMORY ANALYTICS
           ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
MOBILE
                                                                       MORE THAN JUST REPORTING
                                                             COMPUTING




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
MICROSITE SAS HIGH-PERFORMANCE ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
MICROSITE SAS HIGH-PERFORMANCE ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
MICROSITE SAS HIGH-PERFORMANCE ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
HIGH-PERFORMANCE
                     OPPORTUNITY FOR CHANGE
           ANALYTICS




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
NEXT GENERATION
                               LEVERAGING BIG DATA AND ANALYTICS
                  ARCHITECTURE


                                                                                         •      Dramatic reduction in processing time
                                                                                         •      Evolution of SAS analytic procedures
                                                                                         •      Visual exploration of Big Data
                                                                                         •      High-Performance in a business context
                                                                                         •      Design and widely distribute information
                                                                                         •      Opportunity to look at your business differently




C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

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The High-Performance Organization

  • 1. THE HIGH-PERFORMANCE ORGANIZATION JIM DAVIS SENIOR VICE PRESIDENT & CHIEF MARKETING OFFICER C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 2. INFORMATION CHALLENGES MANAGEMENT • Demand on data is increasing • Complexity of data usage is growing • Expansion of the user base • Demand for quick response is growing C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 3. BIG DATA AND KEY CONSIDERATIONS ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 4. BIG DATA AND KEY CONSIDERATIONS ANALYTICS Analytics  Structured data  Unstructured data  Information management Platforms  “Big Data” C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 5. BIG DATA WHAT IS IT? “Data that exceeds the processing capacity of conventional database systems.” C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 6. BIG DATA AND KEY CONSIDERATIONS ANALYTICS  Which kind? Data  Predict outcomes  Quantifiable benefit Platforms C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 7. ANALYTICS ESTABLISHING DIFFERENTIATION PROACTIVE C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 8. BIG DATA AND KEY CONSIDERATIONS ANALYTICS Analytics Data  The “Cloud”  Mobile  High Performance Analytics C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 9. HIGH-PERFORMANCE SAS IN-MEMORY ANALYTICS ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 10. HIGH-PERFORMANCE SAS IN-MEMORY ANALYTICS ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 11. HIGH-PERFORMANCE SAS IN-MEMORY ANALYTICS ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 12. HIGH-PERFORMANCE SAS IN-MEMORY ANALYTICS ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 13. HIGH-PERFORMANCE SAS IN-MEMORY ANALYTICS ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 14. HIGH-PERFORMANCE SAS IN-MEMORY ANALYTICS ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 15. MOBILE MORE THAN JUST REPORTING COMPUTING C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 16. MICROSITE SAS HIGH-PERFORMANCE ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 17. MICROSITE SAS HIGH-PERFORMANCE ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 18. MICROSITE SAS HIGH-PERFORMANCE ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 19. HIGH-PERFORMANCE OPPORTUNITY FOR CHANGE ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 20. NEXT GENERATION LEVERAGING BIG DATA AND ANALYTICS ARCHITECTURE • Dramatic reduction in processing time • Evolution of SAS analytic procedures • Visual exploration of Big Data • High-Performance in a business context • Design and widely distribute information • Opportunity to look at your business differently C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 21. C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .