Ora più che mai le analisi di alta qualità richiedono dati di alta qualità! Con il crescente uso di molteplici e nuove fonti, come Hadoop e l'Internet of Things, i dati che fungono da combustibile per gli Analytics stanno seguendo una spirale ascendente in termini di varietà, volume e complessità nel mondo dei Big Data. Questa presentazione ti aiuterà a capire come la soluzione SAS Data Management può supportarti a migliorare la qualità dei tuoi dati e a ridurne i tempi di preparazione.

1. Copyright © 2016, SAS Institute Inc. All rights reserved.
SAS ANALYTICS IN ACTION – USE CASES (AKA THE ART OF THE POSSIBLE)

2. Copyright © 2015, SAS Institute Inc. All rights 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

3. Copyright © 2016, SAS Institute Inc. All rights reserved.
DATA MANAGEMENT
FOR ANALYTICS THE SAME, AND BETTER
IT
Streaming data
Hadoop
2
EDW
ETL
Operational
Data Management
and Data Quality
1
3
Data Management for Analytics
Data mart
Advanced
Analytics
Single Version of the Truth
Operational
data sources
5
In-Hadoop Data Management
& Analytics
Business
Accessible data discovery
and preparation4
Business
Unstructured
data
Sensors,
smart meters,
IoT
Web &
social media

4. Copyright © 2016, SAS Institute Inc. All rights reserved.
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

5. Copyright © 2016, SAS Institute Inc. All rights reserved.
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

6. Copyright © 2015, SAS Institute Inc. All rights reserved.
Manage
data inside
Hadoop
Reduce
Complexity
of Hadoop
Accelerate
User
adoption
SAS ENABLES ORGANIZATIONS TO…

7. Copyright © 2016, SAS Institute Inc. All rights reserved.
DATA MANAGEMENT
FOR ANALYTICS
DIFFERENTIATORS
Hadoop for
dummies
Keep the
lake clean
The Perfect
Love Story
EP

8. Copyright © 2016, SAS Institute Inc. All rights reserved.
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

9. Copyright © 2016, SAS Institute Inc. All rights reserved.
SAS ANALYTICS IN ACTION – USE CASES (AKA THE ART OF THE POSSIBLE)

10. Copyright © 2016, SAS Institute Inc. All rights reserved.
SAS ANALYTICS IN ACTION – USE CASES (AKA THE ART OF THE POSSIBLE)

11. Copyright © 2015, SAS Institute Inc. All rights reserved.

12. Copyright © 2015, SAS Institute Inc. All rights reserved.
BIG DATA IS EVERYWHERE

13. Copyright © 2016, SAS Institute Inc. All rights reserved.
INTERNET OF
THINGS
IOT 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

14. Copyright © 2016, SAS Institute Inc. All rights reserved.
INTERNET OF
THINGS
ELEMENTS OF AN IOT MODEL
© 2014 Cisco and/or its affiliates

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STREAMING
ANALYTICS
MARKET 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
ANALYTICS
THE IMPACT OF STREAMING DATA
Research Report - Real-Time Analytics and the Internet of Things

18. Copyright © 2016, SAS Institute Inc. All rights reserved.
STREAMING
ANALYTICS
WHY IS THIS IMPORTANT?
Edge of
Network
Operational Apps
Operational Data Store
Databases
CONNECTED
Sensor
Readings
Enterprise Data Warehouse
Change in Mindset!
Gateways

19. Copyright © 2016, SAS Institute Inc. All rights reserved.
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

20. Copyright © 2015, SAS Institute Inc. All rights reserved.
SAS®
EVENT
STREAM
PROCESSING
CONCEPTUAL OVERVIEW
SAS-generated
Insights
Event Actions
SAS In-Memory
SAS
®
Event Stream Processing Model
Continuous
Query
Publish
Subscribe
Streaming Events
Enrichment
Data
Analytic
Models
Business
Rules

21. Copyright © 2015, SAS Institute Inc. All rights reserved.
CONCEPTUAL OVERVIEW
SAS-generated
Insights
Enrichment
Data
Event Actions
SAS In-Memory
SAS
®
Event Stream Processing Model
Continuous
Query
Publish
Subscribe
Streaming Events
Analytic
Models
Business
Rules
Enrichment
Data
Analytic
Models
Business
Rules
SAS®
EVENT
STREAM
PROCESSING

22. Copyright © 2015, SAS Institute Inc. All rights reserved.
CONCEPTUAL OVERVIEW
SAS-generated
Insights
Enrichment
Data
Event Actions
SAS In-Memory
SAS
®
Event Stream Processing Model
Continuous
Query
Publish
Subscribe
Streaming Events
Analytic
Models
Business
Rules
Low-latency assessment of high-volume, high-velocity data streams to detect, filter, aggregate & analyze
SAS®
EVENT
STREAM
PROCESSING

23. Copyright © 2016, SAS Institute Inc. All rights reserved.
STREAMING
ANALYTICS
ENGINEERED 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

24. Copyright © 2016, SAS Institute Inc. All rights reserved.
SAS ANALYTICS IN ACTION – USE CASES (AKA THE ART OF THE POSSIBLE)