How Banks Can Ride the Big Data TsunamiDeepak RamanathanPractice Lead, Information ManagementSAS Asia Pacific (North)     ...
Copyright © 2011, SAS Institute Inc. All rights reserved.   2
   GOING BIG Key Dimensions                                AnalyticsData                                                 ...
OURPERSPECTIVE              Big Data is RELATIVE not ABSOLUTE    Big Data (Noun)     When volume, velocity and variety of ...
THRIVING IN THE BIG DATA ERA                   VOLUME                   VARIETYDATA SIZE                   VELOCITY       ...
ADVANCED ANALYTICS                                                                                                        ...
THE ANALYTICS LIFECYCLE                                                             IDENTIFY /                            ...
Trends in Platforms                                                                                $20                    ...
•       Leverage in-memory architecture via                                             a dedicated software and hardware ...
CREDIT DEFAULT RISK ASSESSMENT                                                                                       APPLI...
CUSTOMER             TRADITIONAL ANALYTICS PROCESSCASE STUDY                                                              ...
CUSTOMER             HIGH PERFORMANCE ANALYTICS PROCESS                                              167 HoursCASE STUDY  ...
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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Asian Bankers Association, Manila Conference

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Asian Bankers Association, Manila Conference

  1. 1. How Banks Can Ride the Big Data TsunamiDeepak RamanathanPractice Lead, Information ManagementSAS Asia Pacific (North) Copyright © 2011, SAS Institute Inc. All rights reserved. 1
  2. 2. Copyright © 2011, SAS Institute Inc. All rights reserved. 2
  3. 3.  GOING BIG Key Dimensions AnalyticsData Platforms Copyright © 2011, SAS Institute Inc. All rights reserved.
  4. 4. OURPERSPECTIVE Big Data is RELATIVE not ABSOLUTE Big Data (Noun) When volume, velocity and variety of data exceeds an organization’s storage or compute capacity for accurate and timely decision-making Copyright © 2011, SAS Institute Inc. All rights reserved.
  5. 5. THRIVING IN THE BIG DATA ERA VOLUME VARIETYDATA SIZE VELOCITY VALUE TODAY THE FUTURE Copyright © 2011, SAS Institute Inc. All rights reserved.
  6. 6. ADVANCED ANALYTICS TEXT ANALYTICS Finding treasures in unstructured data like social media or survey toolsFORECASTING that could uncover insightsLeveraging historical data about consumer sentimentto drive better insight intodecision-makingfor the future INFORMATION MANAGEMENT OPTIMIZATION Analyze massiveDATA MINING amounts of data inMine transaction databases order to accuratelyfor data of spending patterns identify areas likely tothat indicate a stolen card.. produce the most profitable results STATISTICS Copyright © 2011, SAS Institute Inc. All rights reserved. 6
  7. 7. THE ANALYTICS LIFECYCLE IDENTIFY / FORMULATEBUSINESS EVALUATE / PROBLEM BUSINESSMANAGER MONITOR DATA ANALYST RESULTS PREPARATIONDomain Expert Data ExplorationMakes Decisions Data VisualizationEvaluates Processes and ROI Report Creation DEPLOY MODEL DATA EXPLORATIONIT SYSTEMS / DATA MINER /MANAGEMENT VALIDATE STATISTICIAN MODEL TRANSFORMModel Validation & SELECT Exploratory AnalysisModel Deployment BUILD Descriptive SegmentationModel Monitoring MODEL Predictive ModelingData Preparation Copyright © 2011, SAS Institute Inc. All rights reserved.
  8. 8. Trends in Platforms $20 $18 Hadoop COST PER TERABYTE $16 COST PER GIGABYTEMicrosoft PDW $14 $12 Oracle $10 Greenplum $8 Teradata $6 $4 Vertica $2 $- $- $20,000 $40,000 $60,000 $80,000 $100,000 Today 2009 COST OF STORAGE, MEMORY, COMPUTING In 2000 a GB of Disk $17 today < $0.07 In 2000 a GB of Ram $1800 today < $1 In 2009 a TB of RDBMS was $70K today < $ 20K Copyright © 2011, SAS Institute Inc. All rights reserved.
  9. 9. • Leverage in-memory architecture via a dedicated software and hardware appliance BIG DATA • Drive high-performance capabilities across the analytical lifecycle MEETS BIG • Achieve insights at breakthrough ANALYTICS speed before questions becomePRODUCT HIGHLIGHTS obsolete • Offer a consistent interface for current SAS analytic users Copyright © 2011, SAS Institute Inc. All rights reserved.
  10. 10. CREDIT DEFAULT RISK ASSESSMENT APPLICATION SCORING BEHAVIORAL SCORING COLLECTION SCORING RISK ASSESSMENT ANALYTICAL LIFECYCLE Copyright © 2011, SAS Institute Inc. All rights reserved.
  11. 11. CUSTOMER TRADITIONAL ANALYTICS PROCESSCASE STUDY 167 Hours DATA MODEL MODEL EXPLORATION DEVELOPMENT DEPLOYMENT Copyright © 2011, SAS Institute Inc. All rights reserved.
  12. 12. CUSTOMER HIGH PERFORMANCE ANALYTICS PROCESS 167 HoursCASE STUDY DEVELOPMENT E X P L O R AT I O N DEPLOYMENT MODEL MODEL Bottom-line Impact: D ATA Tens of Millions of Dollars 84 SECONDS Copyright © 2011, SAS Institute Inc. All rights reserved.
  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 . SAS.com

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