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