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WITH THE RISE OF OPEN SOURCE, WHY
ORGANIZATIONS STILL TURN TO SAS
BRIAN GARRETT

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WHY SAS?
• Experience and Expertise
• Value
• Innovation
• Leadership in Analytics

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EXPERTISE AND EXPERIENCE

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SAS
• Founded in 1976
• 13,500 employees
• 400 offices worldwide
• World’s largest privately held software company
• 25% of revenue into R&D

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EXPERTISE EMPLOYEES ARE OUR BIGGEST ASSET
• Average tenure 10 years
• 464 employees have worked 25 years or more
• Annual turnover rate 3%, compared to 22% industry average

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EXPERTISE
• Statistical Products development and testing
• 85% advanced degrees
• over half PhDs in Statistics, Mathematics, Operations Research
• Advanced Analytics Lab
• 98% advanced degrees in Statistics, Mathematics, Operations Research
• One third PhDs
• JMP developers and testers
• 78% advanced degrees

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SAS CUSTOMERS EXPERIENCE ACROSS ALL INDUSTRIES
• Customers in 70,000 sites in 135 Countries
• 90 of the top 100 Fortune Global 500® list

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SAS MORE THAN JUST A SINGLE PRODUCT

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PRODUCTS …AND SOLUTIONS
SAS/ACCESS®; SAS® Activity-Based Management; SAS® Add-In for Microsoft Office; SAS/AF®; SAS® Analytics Accelerator for Teradata; SAS® Anti-Money Laundering; SAS®
AppDev Studio™; SAS/ASSIST®; SAS® Banking Analytics Architecture; Base SAS®; SAS® Authentication Server; SAS® Business Intelligence Dashboard; SAS® Business
Intelligence Portal and Portlets; SAS® Business Intelligence Report Services; SAS® Bridge for ESRI; SAS® Business Rules Manager; SAS® Campaign Management; SAS® CGI
Tools; SAS® Clinical Data Integration; SAS® Clinical Standards Toolkit; SAS® Contact Center Planning and Optimization; SAS/CONNECT®; SAS® Credit Risk Management for
Banking; SAS® Credit Scoring for Banking; SAS® Customer Analytics for Banking; SAS® Customer Analytics for Communications; SAS® Customer Analytics for Retail; SAS®
Customer Due Diligence; SAS® Customer Experience Analytics; Dataflux® Address Update; DataFlux® Data Management Server; DataFlux® Data Management Studio; SAS®
Data Management Web Studio; SAS® Data Integration Studio; SAS® Data Quality Server; SAS® Data Surveyor for Oracle Applications; SAS Data Surveyor for Salesforce.com;
SAS® Data Surveyor for SAP; SAS® Data Surveyor for Siebel; SAS® Decision Manager; SAS® Demand-Driven Planning and Optimization; SAS® Deployment Tester; SAS®
Digital Marketing; SAS® Drug Development; SAS/EIS®; SAS® Energy Distribution Optimization; SAS® Enterprise Business Intelligence; SAS® Enterprise Guide®; SAS®
Enterprise Case Management; SAS® Enterprise GRC; SAS® Enterprise Miner™; SAS/ETS®; SAS® Environment Manager; SAS® Federation Server; Financial Crimes Monitor;
SAS® Financial Management; SAS® Forecasting for Desktop; SAS® Forecast Analyst Workbench; SAS® Forecast Server; SAS® Foundation Services; SAS® Fraud
Management; SAS/FSP®; SAS/Genetics™; SAS/GIS®; SAS/GRAPH®; SAS® Health Outcomes Analysis; SAS® High-Performance Analytics Platform; SAS® High Performance
Anti-Money Laundering; SAS® High-Performance Data Mining; SAS® High-Performance Econometrics; SAS® High-Performance Forecasting; SAS® High Performance
Marketing Optimization; SAS® High-Performance Optimization; SAS® High-Performance Statistics; SAS® High-Performance Text Mining; SAS® High Performance Risk; SAS®
Human Capital Management; SAS/IML®; SAS/IML Studio; SAS/IntrNet®; SAS® Information Delivery Portal; SAS® Information Map Studio; SAS® Integration Technologies;
SAS® IT Resource Management; SAS® Inventory Optimization Workbench; SAS® Inventory Optimization Workbench; SAS® IT Resource Management; JMP®; JMP® Clinical;
JMP® Genomics; JMP® Pro; SAS® LASR Analytic Server; SAS® Management Console; SAS® Markdown Optimization; SAS® Marketing Automation; SAS®` Marketing
Optimization; SAS® Merchandise Allocation; SAS® Merchandise Planning; SAS® Metadata Bridges; SAS® Metadata Server; SAS® Mobile BI; SAS® Model Manager; SAS®
Network Algorithms; SAS® Office Analytics; SAS® OLAP Cube Studio; SAS® OLAP Monitor; SAS® Offer Optimization for Communications; SAS® OLAP Server; SAS®
OnDemand for Academics; SAS® OnDemand for Professionals; SAS® OpRisk VaR; SAS/OR®; SAS® Package Reader; SAS® Pack Optimization; SAS® Peer Group Analysis;
SAS® Personal Login Manager; SAS® Predictive Asset Maintenance; SAS® Profitability Management; SAS® Promotion Optimization; SAS/QC®; SAS® Quality Knowledge
Base; SAS® Real-Time Decision Manager; SAS® Regular Price Optimization; SAS® Risk Dimensions®; SAS® Risk Management for Banking; SAS® Risk Management for
Insurance; SAS® Risk Reporting Repository; SAS® Scalable Performance Data Engine; SAS® Scalable Performance Data Server®; SAS® Scoring Accelerator;
SAS/SECURE®; SAS® Security Intelligence Workbench; SAS/SESSION®; SAS/SHARE®; SAS® Simulation Studio; SAS® Size Profiling; SAS® Social Network Analysis; SAS®
Space Optimization; SAS® Space Planning; SAS/STAT®; SAS® StoreCAD Plus; SAS® Strategy Management; SAS® Text Analytics; SAS® Text Miner; SAS® Time Series
Studio; SAS/TOOLKIT®; SAS® Visual Analytics; SAS® Visual Analytics Administrator; SAS® Visual Analytics Designer; SAS® Visual Analytics Explorer; SAS® Visual Analytics
Hub; SAS® Visual Analytics Report Viewer; SAS® Visual Data Builder; SAS® Visual Data Discovery; SAS® Visual Scenario Designer; SAS/Warehouse Administrator®; SAS®
Warranty Analysis; SAS® Web Editor; SAS® Web Parts for Microsoft SharePoint; SAS® Web Report Viewer; SAS® Web Report Studio; SAS® Workflow Studio.

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SAS ANALYTICS THE ANALYTICS LIFE CYCLE
Domain Expert
Makes Decisions
Evaluates Processes and ROI
BUSINESS
MANAGER
Model Validation
Model Deployment
Model Monitoring
Data Preparation
IT SYSTEMS /
MANAGEMENT
Data Exploration
Data Visualization
Report Creation
BUSINESS
ANALYST
Exploratory Analysis
Descriptive Segmentation
Predictive Modeling
DATA MINER /
STATISTICIAN
IDENTIFY /
FORMULATE
PROBLEM
DATA
PREPARATION
DATA
EXPLORATION
TRANSFORM
& SELECT
BUILD
MODEL
VALIDATE
MODEL
DEPLOY
MODEL
EVALUATE /
MONITOR
RESULTS
DEPLOY
MODEL

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INTEGRATION WITH OPEN SOURCE

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OPEN SOURCE
INTEGRATION
SAS/IML SOFTWARE
• SAS/IML supports matrix-vector computation
• User has flexibility to create custom functions
• Takes advantage of built-in functions, subroutines, and SAS
procedures
• Enables interface with R language – can submit R code within SAS
• Can move between SAS and R data structures
• Access R functions and packages

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OPEN SOURCE
INTEGRATION
SAS/IML STUDIO

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OPEN SOURCE
INTEGRATION
SAS® ENTERPRISE MINER
Create ensemble models
by combining the results of
R and SAS
Perform model
comparison to obtain the
best model
R model
SAS model

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OPEN SOURCE
INTEGRATION
ENSEMBLE MODELS
Ensemble model
improvementsCrucial improvement in
targeting populations
that impact critical
business decisions

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OPEN SOURCE
INTEGRATION
ENTERPRISE MINER
• Access sophisticated R graphics
• Available PMML output for the following R models
• Merge mode allows nearly any R package
• Linear Models (lm)
• Multinomial Log-Linear Models (multinom {nnet})
• Generalized Linear Models (glm {stats})
• Decision Trees (rpart)
• Neural Networks (nnet)
• K-Means clustering (kmeans {stats})

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OPEN SOURCE
INTEGRATION
DATA PREPARATION USING SAS
• R does not allow automatic treatment of measurement levels, character variables and
missing values.
• Working with missing values, variable data types and formats can be easily
accomplished in SAS and then models in R can be built and combined with SAS

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OPEN SOURCE
INTEGRATION
MODEL DEPLOYMENT AND MONITORING
• SAS Model Manager streamlines the steps of creating, managing,
deploying, monitoring and operationalizing analytic models
• Can import R models in Model Manager
• Can transform the scored output into a SAS dataset for reporting
• SAS scoring accelerator for Hadoop enables pushing score code
directly into Hadoop – reduce data movement significantly
Manage
Data
Explore
Data
Develop
Models
Deploy
and
Monitor

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TOTAL COST OF OWNERSHIP

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The Analytic
Ecosystem
THE MAKE-UP OF THE ANALYTIC ECOSYSTEM
Hardware
HumanCapital(IT)
Human Capital (LOB)
Software

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Adoption of Technology
Legacy Platforms
+ Warehouse Grid + Warehouse Grid + HADOOP Storage
Grid + Hadoop
Storage and Compute
+ In-Memory
Grid + HADOOP Storage
and Compute
TotalCostofOwnership
Adoption of Technology
MODERNIZATION OF THE ANALYTIC ECOSYSTEM
Legacy Platforms
+ Warehouse
Grid + Warehouse
Grid + HADOOP
Storage
Grid + HADOOP
Storage and Compute
+ In-Memory
Grid + HADOOP
Storage and Compute
Hardware
Software
HC (IT)
HC (LOB)

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TotalCostofOwnership
BUT, ISN’T OPEN SOURCE LESS EXPENSIVE?
Adoption of Technology
Legacy Platforms
+ Warehouse
Grid + Warehouse
Grid + HADOOP
Storage
Grid + HADOOP
Storage and Compute
+ In-Memory
Grid + HADOOP
Storage and Compute
Hardware
Software
HC (IT)
HC (LOB)
ALGORITHMS
• Comprehensive suite of algorithms that are high performance, extremely scalable for distributed
computing and incorporate the latest analytical innovation

23. Copyr ight © 2014, SAS Institute Inc. All rights reser ved.
TotalCostofOwnership
Legacy Platforms
+ Warehouse Grid + Warehouse Grid + HADOOP Storage
Grid + Hadoop
Storage and Compute
+ In-Memory
Grid + HADOOP Storage
and Compute
BUT, ISN’T OPEN SOURCE LESS EXPENSIVE? PERHAPS, NOT!
Adoption of Technology
Legacy Platforms
+ Warehouse
Grid + Warehouse
Grid + HADOOP
Storage
Grid + HADOOP
Storage and Compute
+ In-Memory
Grid + HADOOP
Storage and Compute
Hardware
Software
HC (IT)
HC (LOB)

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ANALYTICS INNOVATION IN HADOOP

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HIGH
PERFORMANCE
ANALYTICS
IN-MEMORY, MASSIVELY PARALLEL
High Performance
Statistics
High
Performance
Data Mining
High
Performance
Econometrics
High Performance
Forecasting
High Performance
Optimization
High
Performance
Text Mining
HPLOGISTIC
HPREG
HPLMIXED
HPNLMOD
HPSPLIT
HPGENSLECT
HPFMM
HPCANDISC
HPPRINCOMP
HPREDUCE
HPNEURAL
HPFOREST
HP4SCORE
HPDECIDE
HPCLUS
HPSVM
HPBNET
HPCOUNTREG
HPSEVERITY
HPQLIM
HPPANEL
HPCOPULA
HPCDM
HPFORECAST OPTLSO
Select features in
OPTMILP
OPTLP
OPTMODEL
HPTMINE
HPTMSCORE
Common Set: HPDS2, HPDMDB, HPSAMPLE, HPSUMMARY, HPIMPUTE, HPBIN, HPCORR

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Data
Manipulation
Exploration/
Visualization
Modeling Deployment
SAS IN-MEMORY
SOLUTIONS
INTEGRATED USER EXPERIENCE
STATISTICIAN/DATA SCIENTIST /PROGRAMMER
Visual
Analytics
Visual
Statistics
IMSTAT for
Hadoop*
GUI GUI PROGRAMMING
BUSINESS ANALYST

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SAS VISUAL ANALYTICS

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SAS® VISUAL
STATISTICS
INTRODUCTION TO SAS VISUAL STATISTICS
SAS Visual Statistics takes advantage of the SAS LASR Analytic Server to
perform
• Exploratory analytics and
• Predictive analytics
in a highly interactive, visual and multi-user environment
®
Data
Manipulation
Exploration/
Visualization
Modeling Deployment

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SAS® VISUAL
STATISTICS
INTERACTIVE VISUAL MODELING
Key Features
• Multi-user Concurrency “Lift once, analyze
many”
• Classical modeling (logistic, regression,
generalized linear)
• Machine learning (decision trees, random
forests)
• Model assessment and comparison (lift,
ROC, classification rate)
• Group BY Processing
• In-Memory Data Management & Scoring
• Discovery at the Observational Level
(Outliers, Influence Points)

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SAS IN-MEMORY
STATISTICS FOR
HADOOP

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32. Copyr ight © 2014, SAS Institute Inc. All rights reser ved.
Data
Preparation
Exploration/
Visualization
Modeling Deployment
INTEGRATED USER EXPERIENCE
STATISTICIAN/ DATA SCIENTIST /PROGRAMMER
Visual
Analytics
Visual
Statistics
IMSTAT for
Hadoop
GUI GUI
BUSINESS ANALYST
PROGRAMMING
Data
Manipulation
Exploration/
Visualization
Modeling Deployment
SAS IN-MEMORY
SOLUTIONS

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LEADERSHIP IN ANALYTICS

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SAS ANALYTICS U
MAKING SAS ACCESSIBLE TO PROFESSORS, STUDENTS
& LIFELONG LEARNERS
• SAS helping fill analytics skills gap with free SAS
software
• SAS customers choose SAS for
• Scalability
• Reliability
• Data management
• Supportability of full analytics lifecycle
• http://sas.com/universityedition

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SAS STUDIO CODE ASSIST THROUGH AUTO-COMPLETE

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SAS STUDIO TABLE VIEW

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SAS STUDIO TASKS – UI GUIDED ANALYTICS

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WHY ORGANIZATIONS STILL TURN TO SAS
• Experience and Expertise
• Value
• Innovation
• Leadership in Analytics

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sas.com
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