sas analytics in action - use cases...title sas analytics in action - use cases author brad hathaway...
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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 – USE CASES (AKA THE ART OF THE POSSIBLE)
Copyr i gh t © 2015, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
BRIDGE THE GAP
Data Management for Analytics
0
IoT
Operational
Unstructured
Integration with Open Source
Streaming Analytics
Approachable Analytics
Advanced AnalyticsData Sources
DATA PREPARATION
Web Decisions at Scale
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DATA MANAGEMENT
FOR ANALYTICSTHE SAME, AND BETTER
IT
Streaming data
Hadoop
2
EDW
ETL
OperationalData Managementand Data Quality
1
3
Data Management for Analytics
Data mart
Advanced
Analytics
Single Version of the Truth
Operational
data sources
5In-Hadoop Data Management
& Analytics
Business
Accessible data discovery
and preparation4
Business
Unstructured
data
Sensors,
smart meters,
IoT
Web &
social media
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Brand sentiment
Product strategy
Maximum asset utilization
APPROACH SHIFT MERGING THE TRADITIONAL AND BIG DATA APPROACHES
Traditional Approach
Rigid & Repetitive Analysis
Business users
determine what
question to ask
IT structures the
data to answer
that question
Big Data Approach
Iterative & Exploratory Analysis
IT delivers a
platform to enable
creative discovery
Business users explore
what questions could be
asked
Monthly sales reports
Profitability analysis
Customer surveys
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Bus Mgrs
CHALLENGES IMPACTS ON TIME TO VALUE
BUSINESS
MANAGER
IT
SYSTEMS /
MANAGEM
ENT
BUSINESS
ANALYST
Data
Quality/Integration
Issues
Hadoop Skill
Shortages
No Access to Data In
Hadoop
Business
Analyst
Data
Management
Specialist
Data Scientist
C-Level
Inefficiencies
Lost Trust
Re-Work
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Manage data inside
Hadoop
Reduce Complexity of Hadoop
Accelerate User
adoption
SAS ENABLES ORGANIZATIONS TO…
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DATA MANAGEMENT
FOR ANALYTICSDIFFERENTIATORS
Hadoop for
dummies
Keep the
lake clean
The Perfect
Love Story
EP
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VALUE Close gaps in the Data to decision Lifecycle
BUSINESS
MANAGER
TIME TO DECISION
IT SYSTEMS /
MANAGEMENT
DATA SCIENTIST
/ STATISTICIAN
BUSINESS
ANALYST
VALUE CAPTURED
Data Quality
Issues
Hadoop Skill
Shortages
No Access to
Data In
Hadoop
Seamless
Movement of
Data
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 ANALYTICS IN ACTION – USE CASES (AKA THE ART OF THE POSSIBLE)
Copyr i gh t © 2015, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
Copyr i gh t © 2015, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
BIG DATA IS EVERYWHERE
Copyr i gh t © 2016, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
INTERNET OF
THINGSIOT CHARACTERISTICS
• CONNECTS the physical world around itself to
other things, the Internet, a network, etc.
• COMPUTES by processing the inputs it collects or
receives, and making those inputs meaningful to
other systems.
• COMMUNICATES with a unique identity on the
network, with other things, and the workforce
WHAT
• REDEFINES OUR ENGAGEMENT with the
physical world – smart , efficient & sustainable
• OBJECTS ARE BECOMING EMBEDDED with
sensors and gaining the ability to communicate.
The resulting information networks promise to
create new business models, improve business
processes & reduce costs risks.
IMPACT
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INTERNET OF
THINGSELEMENTS OF AN IOT MODEL
© 2014 Cisco and/or its affiliates
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STREAMING
ANALYTICSMARKET POTENTIAL
Potential economic
impact of IoT in 2025
$11 Trillion
11% of world
economy
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… it is about applying analytics while the data is in motion
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STREAMING
ANALYTICSTHE IMPACT OF STREAMING DATA
Research Report - Real-Time Analytics and the Internet of Things
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STREAMING
ANALYTICSWHY IS THIS IMPORTANT?
Edge of
Network
Operational Apps
Operational Data Store
Databases
CONNECTEDSensor
Readings
Enterprise Data Warehouse
Change in Mindset!
Gateways
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Edge
Analytics
In-Motion
Analytics
At-Rest
Analytics
Network Systems, Surveillance
Monitor equipment on the
platform for failures and safety
issues, and take action.
Identify fraudulent
transactions and be
alerted in real-time.
Intelligently integrate customer
information with real-time
streaming data
Strategic Data IntegrationTransactions, Logs, Clickstreams
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SAS®
EVENT
STREAM
PROCESSING
CONCEPTUAL OVERVIEW
SAS-generated
Insights
Event Actions
SAS In-Memory
SAS®
Event Stream Processing Model
Continuous
Query
Pu
blish
Su
bscri
be
Streaming Events
Enrichment
Data
Analytic
Models
Business
Rules
Copyr i gh t © 2015, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
CONCEPTUAL OVERVIEW
SAS-generated
Insights
Enrichment
Data
Event Actions
SAS In-Memory
SAS®
Event Stream Processing Model
Continuous
Query
Pu
blish
Su
bscri
be
Streaming Events
Analytic
Models
Business
RulesEnrichment
Data
Analytic
Models
Business
Rules
SAS®
EVENT
STREAM
PROCESSING
Copyr i gh t © 2015, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
CONCEPTUAL OVERVIEW
SAS-generated
Insights
Enrichment
Data
Event Actions
SAS In-Memory
SAS®
Event Stream Processing Model
Continuous
Query
Pu
blish
Su
bscri
be
Streaming Events
Analytic
ModelsBusiness
Rules
Low-latency assessment of high-volume, high-velocity data streams to detect, filter, aggregate & analyze
SAS®
EVENT
STREAM
PROCESSING
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STREAMING
ANALYTICSENGINEERED FOR FAST AND ADAPTIVE ACTION
Detect and monitor
events of interest and
trigger appropriate real-
time actions & alerts
TAKE REAL TIME
ACTION
Continuous loading of relevant streaming data for in-depth
analytics
FOCUS ON RELEVANT
DATA
Apply multi-phase
analytics to determine
events that can benefit
from deeper and more
complex analysis
APPLY MULTI-PHASE
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)