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BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
BI4EC SAS
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BI4EC SAS

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

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

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  • 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. 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/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. 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. 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 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. 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. 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. 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. 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 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. 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 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. 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. 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. 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. 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. 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. 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. 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. 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/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. 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. 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. 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. 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. 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. 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. 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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