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GIVING ORGANIZATIONS THE POWER TO KNOW®
                                                                                                            SAS®: PAST, PRESENT AND FUTURE




                                                                                                Jos van der Velden
                                                                                                Academic Program Manager,
                                                                                                SAS Portugal
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 .
GIVING ORGANIZATIONS THE POWER TO KNOW®
                                                                              AGENDA
                                                                                                SAS: PAST, PRESENT AND FUTURE.
        ----------------------------
                  Introduction
        ----------------------------
                BI/BA timeline
        ----------------------------
        SAS BA Framework
        ----------------------------
                  Case studies
        ----------------------------
                     The future
        ----------------------------
                    Conclusion
        ----------------------------
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 .
CORPORATE TIMELINE:                                                                     A HISTORY OF THE ANALYTICS LEADER




                                                                                                  http://youtu.be/HSlnec0R46k
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 .
BI/BA TIMELINE




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 .
HISTORY                     THE EARLY YEARS


                                                                                                       IBM researcher Hans Peter Luhn introduced the term
                                                                                                       business intelligence: “The ability to apprehend the
                                                                                                1958   interrelationships of presented facts in such a way as
                                                                                                       to guide action towards a desired goal.“

                                                                                                       Howard Dresner (later a Gartner Group analyst)
                                                                                                       defined business intelligence as an umbrella term to
                                                                                                1989   describe “The concepts and methods to improve
                                                                                                       business decision making by using fact-based
                                                                                                       support 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 .
HISTORY                       DATABASE DEPLOYMENT & MOBILE DATA




                                                                                                1990’s




                                                                                                                   ERP


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 .
PREDICTIVE ANALYSIS, E-COMMERCE &
                                                                           HISTORY
                                                                                                SOCIAL NETWORKING




                                                                       Millenium




                                                                     Mid 2000s




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 .
HISTORY              CLOUD, CONSUMERIZATION & BI ADOPTION




                                                                                                     Cloud



                                                                 Late 2000s




                                                                                                                                 SELF-SERVICE
                                                                                                                                      BI


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 .
TOP BI TRENDS & THE FUTURE

                                                                                                                             HADOOP
                                             Text Analytics                                            CLOUD




                                                    Social Media                                         BIG
                                                                                                        DATA
                                                       Analytics

                                                                             BIG Data

                                                                              Cloud BI

                                                                        Spatial BI



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 .
SAS BUSINESS ANALYTICS FRAMEWORK
                                                                                                ®




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 .
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 .
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 .
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 .
DATA SIZE AND ANALYTIC COMPETENCE



                                                                                                BI




                                                                                                                             PROACTIVE
                                                                                                       ANALYTIC CAPABILITY
                                                      BIG DATA BI


                               BIG ANALYTICS


                                                                                                                             REACTIVE
                                                           BIG DATA
                                                          ANALYTICS

                                                                                                                                         LARGE               BIG DATA
                                                                                                                                                 DATA SIZE

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 .
CASE STUDIES




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 .
UNIVERSITY OF TEXAS                                                       DASHBOARD

                          BUSINESS ISSUE                                                        “The dashboard project
                           • Growing demands for data                                           serves many stakeholders
                                                                                                and, ultimately, it is a tool
                           • Requests for dynamic reports                                       for everyone and anyone.
                           • Transparency and accountability                                    We needed a tool that
                                                                                                could layer in and package
                                                                                                the data in multiple ways –
                          SOLUTION                                                              that could allow for the
                                                                                                creation of a view that
                           • The SAS Enterprise Intelligence Suite for Education                would be tailored to a
                                                                                                particular audience but
                                                                                                also be open to the
                          RESULTS                                                               public.”
                           • Easy access to accurate, timely and pertinent data
                                                                                                Dr. Sandra Woodley
                           • Ability to analyze trends across multiple factors                              Vice Chancellor for
                                                                                                            Strategic Initiatives,
                           • Dynamic online data                                                               The University of
                           • Standardized data                                                                    Texas System

                           • Transparency

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 .
UNIVERSITY OF TEXAS                                                                                      UNITED STATES




                                                                                                University of Texas System Productivity Dashboard Demo

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 .
COSMOS BANK                                                               BANKING

                          BUSINESS ISSUE                                                        “This is an era of
                           • Give executives access to big data insights                        visualization, so we
                           • Make more informed decisions                                       should provide ranking
                                                                                                officers and board
                           • Analyze customer intelligence, manage risk
                                                                                                members with eye-
                                                                                                catching tables and
                          SOLUTION                                                              charts that help them
                                                                                                quickly grasp the
                           • SAS Visual® Analytics
                                                                                                meaning of the data
                                                                                                provided and make
                          RESULTS                                                               informed decisions.”
                           • Up-to-the-minute insights                                          James Lin
                           • Competitive advantage                                               Chief Risk Officer
                           • Eye-catching visuals




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 .
COSMOS BANK                                                                                                             TAIWAN




                                                                                                http://www.sas.com/success/cosmos-bank-visual-analytics-big-data.html

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 .
ØRESUNDSBROEN                                                                    GOVERNMENT

                          BUSINESS ISSUE
                                     •         Increase bridge traffic                                “Above and beyond
                                     •         Personalize, automate marketing efforts                supplying the
                                     •         Know customers likes, dislikes                         organization with
                                                                                                      customer insight, this
                          SOLUTION                                                                    solution is creating a
                                     •         SAS®                            Enterprise BI Server   transparency in the flow
                                                                                                      of communication with
                                     •         SAS®                            Marketing Automation
                                                                                                      our customers that we
                                     •         SAS®                            Digital Marketing      have not had before.”
                                     •         SAS®                            Financial Management
                                                                                                      Karsten Längerich
                                     •         SAS®                            Enterprise Guide®        Head of Leisure Segment

                          RESULTS
                                     •         35,000 new passes sold in a few months
                                     •         20,000 hours saved
                                     •         180,000 personalized e-newsletters/week
                                     •         Open rates increased
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 .
DENMARK -
                      ØRESUNDSBROEN
                                                                                                                       SWEDEN




                                                                                                http://www.sas.com/success/oresundsbroen.html

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 .
THE FUTURE




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 .
SAS ® Solutions
                                                                                                SAS OnDemand for Academics
                    OnDemand


                                            SAS® Solutions OnDemand
                                            Competing in this new economic climate, while delivering a consistent level of
                                            service, requires organizations to rethink their IT delivery strategies and core
                                            competencies. The slowdown across IT sectors has reduced budgets and staff –
                                            yet demands for new business applications and network processing continue to
                                            expand.



                                            SAS® OnDemand for Academics
                                            •  University and college access to SAS® software
                                               wherever and whenever you need it
                                            SAS OnDemand for Academics provides a no-cost online delivery model to
                                            professors for teaching and students for learning data management and analytics.
                                            By connecting to a SAS server in the cloud, users access the analytical power of
                                            SAS software through a user-friendly, point-and-click interface.


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 .
SAS ® Solutions
                                                                                                SAS Social Media Analytics
                    OnDemand



                                Integrate, archive, analyze and
                                act on online conversations
                                SAS Social Media Analytics is an enterprise-hosted, on-
                                demand solution that integrates, archives, analyzes and
                                enables organizations to act on intelligence gleaned from
                                online conversations on professional and consumer-
                                generated media sites. It enables you to attribute online                                    http://youtu.be/oPh1K4_3hJs
                                conversations to specific parts of your business, allowing                                   http://youtu.be/JL5O9aXkFpQ
                                accelerated responses to marketplace shifts.                                                 http://youtu.be/r_cYd-Z15j8
                                                                                                                             http://youtu.be/Sjq1MpkbkFs


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 .
http://youtu.be/ZQzsQkMFgHE                                 http://youtu.be/oPh1K4_3hJs




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 .
SAS ® VISUAL
                                                                                                DELIVERS A SINGLE SOLUTION FOR FASTER, SMARTER DECISIONS
                    ANALYTICS

                                                                                       Central Entry Point                    Integration                    Role-based Views




                                   DATA PREPARATION                                                    EXPLORER                      DESIGNER                      MOBILE BI
                                     • Monitor SAS® LASR™                                               • Perform ad-hoc analysis     • Create dashboard style     • Native iOS application
                                       Analytic server                                                    and data discovery            reports for web              that delivers interactive
                                     • Load and join data                                                                               or mobile                    reports created in the
                                     • Create calculated                                                                                                             designer
                                       columns


                                                                                                        SAS® LASR™ ANALYTIC SERVER

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 .
SAS ® VISUAL
                                                                                                DEMO
                   ANALYTICS


                                            SAS Demo Environment:                                                 http://youtu.be/ARMzm3JRufs

                                               •               48 nodes, 4.6TB RAM, 576 CPUs (cores), 28TB disk
                                               •               A shared system used throughout SAS




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 .
FUTURE




                                                                                                SaaS



                                                                                                PaaS



                                                                                                IaaS



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 .
CONCLUSION AND QUESTIONS




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 .
http://youtu.be/wjZJDbq-DAw

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 .
THANK YOU

                                                                                                EMAIL: jos.van.der.velden@sas.com

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 .                                       www.SAS.com

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BI4EC SAS

  • 1. GIVING ORGANIZATIONS THE POWER TO KNOW® SAS®: PAST, PRESENT AND FUTURE Jos van der Velden Academic Program Manager, SAS Portugal 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. GIVING ORGANIZATIONS THE POWER TO KNOW® AGENDA SAS: PAST, PRESENT AND FUTURE. ---------------------------- Introduction ---------------------------- BI/BA timeline ---------------------------- SAS BA Framework ---------------------------- Case studies ---------------------------- The future ---------------------------- Conclusion ---------------------------- 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. CORPORATE TIMELINE: A HISTORY OF THE ANALYTICS LEADER http://youtu.be/HSlnec0R46k 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. BI/BA TIMELINE 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. HISTORY THE EARLY YEARS IBM researcher Hans Peter Luhn introduced the term business intelligence: “The ability to apprehend the 1958 interrelationships of presented facts in such a way as to guide action towards a desired goal.“ Howard Dresner (later a Gartner Group analyst) defined business intelligence as an umbrella term to 1989 describe “The concepts and methods to improve business decision making by using fact-based support 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. HISTORY DATABASE DEPLOYMENT & MOBILE DATA 1990’s ERP 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. PREDICTIVE ANALYSIS, E-COMMERCE & HISTORY SOCIAL NETWORKING Millenium Mid 2000s 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. HISTORY CLOUD, CONSUMERIZATION & BI ADOPTION Cloud Late 2000s SELF-SERVICE BI 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. TOP BI TRENDS & THE FUTURE HADOOP Text Analytics CLOUD Social Media BIG DATA Analytics BIG Data Cloud BI Spatial BI 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. SAS BUSINESS ANALYTICS FRAMEWORK ® 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. 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. 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. 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. 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. 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. 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. DATA SIZE AND ANALYTIC COMPETENCE BI PROACTIVE ANALYTIC CAPABILITY BIG DATA BI BIG ANALYTICS REACTIVE BIG DATA ANALYTICS LARGE BIG DATA DATA SIZE 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. 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. CASE STUDIES 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. UNIVERSITY OF TEXAS DASHBOARD BUSINESS ISSUE “The dashboard project • Growing demands for data serves many stakeholders and, ultimately, it is a tool • Requests for dynamic reports for everyone and anyone. • Transparency and accountability We needed a tool that could layer in and package the data in multiple ways – SOLUTION that could allow for the creation of a view that • The SAS Enterprise Intelligence Suite for Education would be tailored to a particular audience but also be open to the RESULTS public.” • Easy access to accurate, timely and pertinent data Dr. Sandra Woodley • Ability to analyze trends across multiple factors Vice Chancellor for Strategic Initiatives, • Dynamic online data The University of • Standardized data Texas System • Transparency 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. UNIVERSITY OF TEXAS UNITED STATES University of Texas System Productivity Dashboard Demo 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 .
  • 22. COSMOS BANK BANKING BUSINESS ISSUE “This is an era of • Give executives access to big data insights visualization, so we • Make more informed decisions should provide ranking officers and board • Analyze customer intelligence, manage risk members with eye- catching tables and SOLUTION charts that help them quickly grasp the • SAS Visual® Analytics meaning of the data provided and make RESULTS informed decisions.” • Up-to-the-minute insights James Lin • Competitive advantage Chief Risk Officer • Eye-catching visuals 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 .
  • 23. COSMOS BANK TAIWAN http://www.sas.com/success/cosmos-bank-visual-analytics-big-data.html 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 .
  • 24. ØRESUNDSBROEN GOVERNMENT BUSINESS ISSUE • Increase bridge traffic “Above and beyond • Personalize, automate marketing efforts supplying the • Know customers likes, dislikes organization with customer insight, this SOLUTION solution is creating a • SAS® Enterprise BI Server transparency in the flow of communication with • SAS® Marketing Automation our customers that we • SAS® Digital Marketing have not had before.” • SAS® Financial Management Karsten Längerich • SAS® Enterprise Guide® Head of Leisure Segment RESULTS • 35,000 new passes sold in a few months • 20,000 hours saved • 180,000 personalized e-newsletters/week • Open rates increased 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 .
  • 25. DENMARK - ØRESUNDSBROEN SWEDEN http://www.sas.com/success/oresundsbroen.html 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 .
  • 26. THE FUTURE 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 .
  • 27. SAS ® Solutions SAS OnDemand for Academics OnDemand SAS® Solutions OnDemand Competing in this new economic climate, while delivering a consistent level of service, requires organizations to rethink their IT delivery strategies and core competencies. The slowdown across IT sectors has reduced budgets and staff – yet demands for new business applications and network processing continue to expand. SAS® OnDemand for Academics • University and college access to SAS® software wherever and whenever you need it SAS OnDemand for Academics provides a no-cost online delivery model to professors for teaching and students for learning data management and analytics. By connecting to a SAS server in the cloud, users access the analytical power of SAS software through a user-friendly, point-and-click interface. 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 .
  • 28. SAS ® Solutions SAS Social Media Analytics OnDemand Integrate, archive, analyze and act on online conversations SAS Social Media Analytics is an enterprise-hosted, on- demand solution that integrates, archives, analyzes and enables organizations to act on intelligence gleaned from online conversations on professional and consumer- generated media sites. It enables you to attribute online http://youtu.be/oPh1K4_3hJs conversations to specific parts of your business, allowing http://youtu.be/JL5O9aXkFpQ accelerated responses to marketplace shifts. http://youtu.be/r_cYd-Z15j8 http://youtu.be/Sjq1MpkbkFs 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 .
  • 29. http://youtu.be/ZQzsQkMFgHE http://youtu.be/oPh1K4_3hJs 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 .
  • 30. SAS ® VISUAL DELIVERS A SINGLE SOLUTION FOR FASTER, SMARTER DECISIONS ANALYTICS Central Entry Point Integration Role-based Views DATA PREPARATION EXPLORER DESIGNER MOBILE BI • Monitor SAS® LASR™ • Perform ad-hoc analysis • Create dashboard style • Native iOS application Analytic server and data discovery reports for web that delivers interactive • Load and join data or mobile reports created in the • Create calculated designer columns SAS® LASR™ ANALYTIC SERVER 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 .
  • 31. SAS ® VISUAL DEMO ANALYTICS SAS Demo Environment: http://youtu.be/ARMzm3JRufs • 48 nodes, 4.6TB RAM, 576 CPUs (cores), 28TB disk • A shared system used throughout SAS 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 .
  • 32. FUTURE SaaS PaaS IaaS 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 .
  • 33. CONCLUSION AND QUESTIONS 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 .
  • 34. http://youtu.be/wjZJDbq-DAw 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 .
  • 35. THANK YOU EMAIL: jos.van.der.velden@sas.com 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 . www.SAS.com