BI4EC SAS

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Giving Organizations the Power to Know: SAS - Paste, Present and Future

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BI4EC SAS

  1. 1. GIVING ORGANIZATIONS THE POWER TO KNOW® SAS®: PAST, PRESENT AND FUTURE Jos van der Velden Academic Program Manager, SAS PortugalC 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. 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. 3. CORPORATE TIMELINE: A HISTORY OF THE ANALYTICS LEADER http://youtu.be/HSlnec0R46kC 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. 4. BI/BA TIMELINEC 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. 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. 6. HISTORY DATABASE DEPLOYMENT & MOBILE DATA 1990’s ERPC 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. 7. PREDICTIVE ANALYSIS, E-COMMERCE & HISTORY SOCIAL NETWORKING Millenium Mid 2000sC 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. 8. HISTORY CLOUD, CONSUMERIZATION & BI ADOPTION Cloud Late 2000s SELF-SERVICE BIC 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. 9. TOP BI TRENDS & THE FUTURE HADOOP Text Analytics CLOUD Social Media BIG DATA Analytics BIG Data Cloud BI Spatial BIC 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. 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. 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. 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. 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. 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. 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. 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. 17. DATA SIZE AND ANALYTIC COMPETENCE BI PROACTIVE ANALYTIC CAPABILITY BIG DATA BI BIG ANALYTICS REACTIVE BIG DATA ANALYTICS LARGE BIG DATA DATA SIZEC 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. 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. 19. CASE STUDIESC 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. 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 • TransparencyC 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. 21. UNIVERSITY OF TEXAS UNITED STATES University of Texas System Productivity Dashboard DemoC 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. 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 visualsC 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. 23. COSMOS BANK TAIWAN http://www.sas.com/success/cosmos-bank-visual-analytics-big-data.htmlC 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. 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 increasedC 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. 25. DENMARK - ØRESUNDSBROEN SWEDEN http://www.sas.com/success/oresundsbroen.htmlC 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. 26. THE FUTUREC 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. 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. 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/Sjq1MpkbkFsC 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. 29. http://youtu.be/ZQzsQkMFgHE http://youtu.be/oPh1K4_3hJsC 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. 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 SERVERC 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. 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 SASC 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. 32. FUTURE SaaS PaaS IaaSC 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. 33. CONCLUSION AND QUESTIONSC 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. 34. http://youtu.be/wjZJDbq-DAwC 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. 35. THANK YOU EMAIL: jos.van.der.velden@sas.comC 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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