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#AnalyticsXC o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Mass-Scale, Automated Machine Learning and Model Deployment Using SAS® Factory Miner and SAS® Decision Manager
Jonathan WexlerPrincipal Product Manager Data Mining and Machine LearningSAS
Steve SparanoPrincipal Product ManagerSAS
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C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
About the presentersJonathan Wexler, Principal Product Manager, SAS
Responsible for SAS Enterprise Miner, SAS Factory Miner and related SAS Machine Learning products. He has a B.S. in Mathematics/Statistics and M.A. in Biostatistics.
Steve Sparano, Principal Product Manager, SAS
Responsible for SAS Decision Manager, SAS Event Stream Processing, and SAS Workflow automation capabilities. He has a B.S. in Business Management and Computer Science.
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C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Automate your model development
Streamline and action your analytics
SAS Software Demo
Agenda
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Automate your model development
Streamline and action your analytics
SAS Software Demo
Agenda
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
• Use ALL the Relevant Data
• Include More Attributes
• More Machine Learning
Algorithms
• Model Tournaments
• More Granular Segments
• Embedded Analytics
• Combine Business Rules and
Models
• Build Once, Deploy AnywhereDecisions at Scale
Scalable Analytics
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Discovery Deployment
Decisions at Scale
Iterative
Leading Edge
Experiments
Fail Fast
Data Science
Interactive
New data
Innovation
Governed
Deep Learning
Robust
Automated
Regulated
Actions
Consistent
Documented
Decisions
Prepare
Explore
Model
Implement
Act
Evaluate
Ask
Data
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Micro Segmentation
Summed customer transactions
Customer type
Community type
Distance
Spend
frequency
Creating a hierarchy of models, choosing the “best” model at each
level
DATA
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C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
SAS® Factory Miner
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C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Extend Organizational Talent PoolAnalytics Collaboration
Data Science Superhero
Business Analyst
Data Miner
Data
Scientist
Builds model
workflow
templates
Adapts model
templates
Uses model
templates
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
SAS Ecosystem
Data Integration
Rules
Factory Miner
Model Building
• Segmented Models
• Full-scale process flow
• Open Source Models
Model Deployment
• Model Monitoring
• In-Database deployment
• Data driven Rules
Data Prep
• Analytical data
preparation
• Batch Deployment
Micro Analytic Service
In Database
Batch
In-Stream
In Hadoop
Deployment Targets
Ent Miner
Open Source
DB, Hadoop
Decision Manager
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Automate your model development
Streamline and action your analytics
SAS Software Demo
Agenda
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Decision Management is an approach for automating and improving
high-volume operational decisions.
Decision: Data Prep + Business Rules + Analytical Models +
Optimization + Integration
• ACCURATE
• SCALABLE
• GOVERNED
Decision Management
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C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Decisions
• The Evolution Of Decision Making
STRATEGIC OPERATIONALMARKETS
GLOBAL
OPERATIONS
PRODUCT
LINES
PRICING
DECISIONS
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C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Evolving Environment of Data-Analytics-Processes
• Integration of Rules, Events, Models, Data
• Unified Decision Management platform
• Streamline decision deployment for multiple targets
Decision Management
Real Time Business
Processes
Pervasive Analytics
Streaming Data
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Deploy
Internet of Things
ANALYTICS LIFECYCLE: SENSE – UNDERSTAND - ACT
ETL
Data Data Storage
Alerts / Reports/ Decisioning
De
plo
y
f
IoT Data Intelligent Filter / Transform
Streaming Model Execution
C o p y r ig ht © 201 3, SAS In st i tute In c. A l l r ig hts r ese rve d.
Discovery Deployment
Iterative
Visual
Experiments
Fail Fast
Data Science
Interactive
New data
Innovation
Deep Learning
Governed
Robust
Automated
Regulated
Actions
Consistent
Documented
Decisions
Analytics Lifecycle
Prepare
Explore
Model
Implement
Act
Evaluate
Ask
Data
SAS Solution:
Analytics
Visual Analytics
Factory Miner Rules Management
Decision Manager
Event Stream Processing
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
MonitorDecisionsModels
Decision ProcessPutting models to work
PrepareData
BuildModel
DesignDecision
Flow
Publ ishDefine
Business
Rules
Publish, Monitor, GovernAnalytics
Register Model
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C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
DEMO
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
#AnalyticsX
