Download the Whitepaper from http://www.attunity.com/IIoT IIoT is made up of billions of devices collecting and transmitting data to support some of the fastest-growing areas in global business. But when it comes to analyzing this Big Data, there are several big technical hurdles that need to be addressed. Take a look at this presentation to understand Attunity addresses the technical hurdles head on, enabling companies to move data fast, easily and securely.

1. The Industrial Internet of Things
Overcoming Adoption
Challenges to Release the
Value Within IIoT

2. What is the Internet of Things (IoT)?
Everyday objects with network
connectivity can send and
receive data
Smart Environment
Control
Smart Television
Smart Light
Control
Smart Motion
Sensor
Smart STB
Smart Remote Control
Smart Door Control
2

3. What is the Industrial Internet of Things
(IIoT)?
Business-to-business devices and objects
with network connectivity can send and
receive data
With IIoT, sensors collect and
analyze data from machines,
devices, facilities, fleets and
more 3

4. Market Size/Opportunity of IIoT
4
Predictions:
25
Billion
devices connected to the
Internet by 2015
50
Billion
devices by 2020
$309
Billion
in additional revenue for suppliers
of connected devices by 2020
$1.9
Trillion
in cost savings and
improved productivity
$10-$15
Trillion
increase in global GDP over the
next 20 years, thanks to gains in
productivity
CISCO GARTNER GE

5. Why Does IIoT Matter?
Revolutionizing the Way Business is Done
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6. IIoT Results
Reductions Improvements
Unplanned Downtime
Maintenance Cost
Increased Productivity!
Manufacturing Processes
Machine Efficiencies
+
6

7. 7
Key Industry Segments Where IIoT is Used
Transportation
 Telematics
 Industrial fleet
management
 Proactive monitoring
 In-vehicle entertainment
 Vehicle navigation
 Safety services
 Concierge services
 Remote engine
diagnostics
 Personalized insurance
Manufacturing
 Supply chain management
 Asset, cargo and container
management
 Geofencing
 Machine diagnostics
 Machine telemetry
 Inventory control
 Industrial automation
control
 Real-time equipment
monitoring
Retail & Finance
 Smart payments
 Smart cards
 Point-of-sale terminals
 ATM & kiosk monitoring
 Vending machine
monitoring
 Digital signage
 Electronic billboards
Oil & Gas
 Monitoring and
controlling drills, wells
and pipelines
 Telemetry
 Remote automation
 Sensor networks in the
earth’s crust
 Cellular- and satellite-
based M2M devices

8. 8
Key Industry Segments Where IIoT is Used
Utilities
 Meter reading
 Proactive alerts
 Alarms
 Smart grid applications
 Remote building
temperature control
Healthcare
 Home healthcare
monitoring
 Hospital patient monitoring
 Hospital equipment
monitoring
 Remote telemedicine
 Remote physician
consultation
 Body sensor monitoring
 Remote diagnostics
Security
 Electronic surveillance
 Video surveillance
 Video-enhanced industrial
security
 Enterprise security sensor
monitoring
 Security alerts
Consumer Services
 Smart home appliances
 Connected home electronics
and devices
 Home security services
 Home alerts
 Remote home thermostat
control
 Video feed monitoring

9. How are Industries Using IIoT?
Increased
Production and
Quality
A paper
manufacturer used
sensors in its kilns to
automatically adjust
the flame shape
Result:
Increased
production by
5% and
improved
product quality
Better Service
Levels
Logistics managers
adjusted vehicle
routes using weather
and traffic condition
sensors
Result:
Lowered
congestion
costs, while
increasing
network
capacity
9

10. How are Industries Using IIoT?
Improved
Situational
Awareness
A maritime company
launched a
collaboration
platform providing
customers with
improved decision
making and support
Result:
Improved
troubleshooting
and safety
Streamlined
Maintenance
Networked sensors
embedded in the
bodies of airplanes,
monitor the wear and
tear of airplanes
Result:
Improved
proactive
maintenance
activities
10

11. IIoT is All About Big Data
IIoT Data is Big Data
Made up of billions of events and data
points, to support some of the fastest-
growing areas in global business
» Analytics
» BI
» Predictive Analytics
Forrester estimates the current
market for Big Data to be valued at
about $12 billion
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12. The Technical Hurdles of Big Data
12
Moving a wide variety of data
from a wide variety of sources
High volumes of data and
high velocity of throughput
Moving Big Data through low-
bandwidth connections
Limited access to real-time
information updates
Diminished value of IIoT
The hurdles The impact of not
addressing the hurdles
Poor performance
Increased costs
Bottlenecks

13. Three Basic Steps
13
Collect data from
machines
Send data to a central
storage location
Analyze information and
achieve real-time insights
Data
Value
Data
Value
When the hurdles
aren’t addressed
When the hurdles
are addressed

14. Attunity to the Rescue
Attunity enables companies to:
Data
Value
Move data fast, easily
and securely over
WAN networks and
low-bandwidth
connections
Achieve real-time
analytics for better
decision making
Capture the
business potential
held in the IIoT
14

15. The BIG Details
By leveraging ELT (Extract, Load,
Transform), a best practice
recommended and supported by
Attunity, companies can move data
fast, easily and securely over WAN
networks and low-bandwidth
connections
Attunity solutions are optimized to
support high-performance transfer
of data over LAN or WAN with ease
and efficiency, enabling real-time
analytics
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866-288-8648 info@Attunity.com www.attunity.com
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