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Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
SAS ANALYTICS IN ACTION
APPROACHABLE ANALYTICS AND DECISIONS AT SCALE
TUBA ISLAM, SAS GLOBAL TECHNOLOGY PRACTICE, ANALYTICS
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
SAS ANALYTICS IN ACTION – TO DRIVE BUSINESS INNOVATION
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
SAS ANALYTICS IN ACTION
Data
DeploymentDiscovery • Enables and empowers your
business analysts, data
scientists, managers
• Bridges the gaps between Data,
Discovery and Deployment
• Minimizes time to market and
maximizes value from analytics
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
SAS ANALYTICS IN ACTION – USE CASES (AKA THE ART OF THE POSSIBLE)
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
APPROACHABLE
ANALYTICSBarriers to the adoption of analytics
Scarcity of analytical skillsThe need to grow analytical talent from within
Disjointed, inefficient workflowHow can you fail fast & learn to refine quickly
Tools that aren’t right for the jobLearning curve to create, share and collaborate
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
What makes it approachable?APPROACHABLE
ANALYTICS
Modern, interactive, easy-to-use data manipulation, reporting, exploration and modeling
Communication of results via Web, Office & Mobile
Deployment on-premise or in the cloud
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
APPROACHABLE
ANALYTICSTaking advantage of the science of data
Source: KPMG International 2015
Players need to gain deep insight into an
individual’s consumption patterns and
choices. “information about a transaction is
more valuable than the transaction itself”
While customer behaviours drive the need for
innovation, new technologies provide the tools
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
APPROACHABLE
ANALYTICSBridging the gap between IT and business
Requirements-based
Robust
Integrate and Re-use
Top-down Approach
Opportunity-based
Agile and Exploratory
Immediate Use
Bottom-up Experiments
Business Intelligence
and Analytics
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
APPROACHABLE
ANALYTICSTaking advantage of all the involved roles
“Citizen Data Scientist”“Data Scientist Superhero”
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
APPROACHABLE
ANALYTICSWhere to start from?
Do not replace legacy processes (yet)
Introduce approachable analytics
Identify your citizen data scientists and
modelers
Give access to all relevant data
Challenge the existing processes
Share and take decisions!
Legacy Processes Approachable Analytics
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
APPROACHABLE
ANALYTICSExploration and modeling – what does it bring?
Influence Relationships
ContributionsData driven explorationEliminating
guesswork with
predictive analytics
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
SAS ANALYTICS IN ACTION – USE CASES (AKA THE ART OF THE POSSIBLE)
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
DECISIONSDECISIONS
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
Speed
Agility
Quality
Accuracy
THE PERCEIVED TRADE-OFF
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
DECISIONS
AT SCALETRENDS: FROM STRATEGY TO ACTION
STRATEGIC OPERATIONALMARKETS
GLOBAL
OPERATIONS
PRODUCT
LINES
PRICING
DECISIONS
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
DECISIONS
AT SCALETRENDS: THE SCIENCE OF DECISION MAKING
Making the right
decision with the
right information at
the right time.
Manage decision
assets and learn
from outcomes.
Decision Management
More Analytical
Models
AdvancedBusiness
Rules
Growing Data
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
• Using ALL the Relevant Data
• Creating More Attributes
• More Models
• More Granular Segments
• More Predictive Machine
Learning Algorithms
• Model Tournaments
• Enable Non-Technical Users
• Integration
• Embedded Analytics
• Move Insights Closer to the
Decision Maker
• Combine Models with
Business Rules
WHAT IS AT SCALE?
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
DECISIONS AT
SCALE
AUTOMATE MODELING
Take advantage of powerful machine learning algorithms and turn
them into modeling templates
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
!!!???!!!
The ‘IT’ folks The ‘Analytics’
folks
I just built 850 new
models. When can
you put them into
production?
MAKE THE INTEGRATION GO SMOOTHLYDECISIONS AT
SCALE
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
Data Environment
Score
Output Rules
Models Rules
SCORE
CODE
db compliant
instructions
.99. 1.0, 500
DECISIONS AT
SCALEOPERATIONALIZE DECISION MAKING
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
DECISIONS AT
SCALEBENEFITS
• Better targeting• Improved accuracy with more data,
more models and more creativity!
• Reduced decision latency• Integration between Data,
Discovery and Deployment
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
SAS ANALYTICS IN ACTION – USE CASES (AKA THE ART OF THE POSSIBLE)
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved . sas.com
THANK YOU!