Download the whitepaper from http://www.attunity.com/IIoT
The Industrial Internet of Things is made up of billions of devices collecting and transmitting data to support some of the fastest-growing areas in global business. But to glean value from the IIoT, companies need to be able to access and analyze this Big Data, and there are several common technical hurdles that need to be addressed first.
Take a look at this presentation to understand how Attunity addresses these technical hurdles head-on, enabling companies to move data fast, easily and securely, and realize the full value of the IIoT.
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Revolutionize your business with the Industrial Internet of Things ( IIoT) - Attunity
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
5
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
11
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
15
Script-
Gartner defines “Internet of Things” as a network of physical objects that contain embedded technology to communicate and sense, or interact with their internal states or to the external environment.
Examples are appliances, such as “smart” televisions and refrigerators, that are connected to the Internet, water or electrical meters, and “smart” parking meters.
The “Industrial Internet of Things” is a subset of the Internet of Things that focuses on devices and objects used in business-to-business settings.
Sensors can be used to collect and analyze data from machines, facilities, devices and fleets, resulting
in reduced amounts of unplanned downtime.
Information collected from sensors can provide better control over manufacturing processes.
Analytics derived from sensor data can lead to more productive oil and gas exploration.
Through sensors and automated feedback, it is possible to modify energy and water
consumption patterns, resulting in more efficient usage.
The market associated with the “Industrial Internet of Things” promises tremendous growth.
Cisco’s Internet Business Solutions Group predicts that by that by 2020, 50 Billion devices will be connected to the internet.
Gartner forecasts $1.9 trillion in cost savings, improved productivity, and factors associated with connected devices and services.
General Electric believes that the Industrial Internet has the potential to increase global GDP by $10 trillion to $15 trillion over the next 20 years. IIoT could dramatically reduce the cost of industrial maintenance. Expenses associated with maintaining equipment:-
» Steam and gas turbines at power plants -- $7 billion
» Aircraft engines -- $10 billion
» Freight trains -- $3 billion
» CT and MRI scanners in healthcare facilities -- $250 million
The “Internet of Things,” is a top priority for industries today because it is revolutionizing the way business is done. Tens of billions of devices will be connected to the “Internet of Things,” driving demand for real-time data processing and analysis.
It can help lower costs through predictive failures and proactive maintenance of machines.
It can help improve safety of people and facilities, and avoid disasters.
And it can help organizations derive useful insights and gain a greater competitive advantage over other companies.
It enables you to connect facilities, machines, manufacturing floors, grids, transportation, engines, devices and other elements to the Internet
Data points can be accessed, managed and controlled from anywhere
Better data means better information to enable better/speedier decision making and troubleshooting.
The “Industrial Internet of Things,” is a top priority for organizations today because it is and will continue to revolutionize the way business is done. Tens of billions of devices will be connected to the “Internet of Things,” driving demand for real-time data processing and analysis.
It can help lower costs through predictive failures and proactive maintenance of machines.
It can help improve safety of people and facilities, and avoid disasters.
Helps organizations derive useful insights and gain a greater competitive advantage over other companies.
Various industry sectors are leveraging Internet of Things to improve operations, service levels, and product quality.
For example, a leading paper manufacturer embedded temperature sensors in its kilns that helped monitor and adjust the flame intensity and shape. This resulted in improvement of production quality as well as increase in production by 5 percent.
In the freight industry, sensors that monitor weather and traffic conditions help logistics managers manage vehicular traffic, thereby lowering congestion costs and increasing network capacity.
In the airline industry, networked sensors embedded in airplane bodies help monitor wear and tear of airplanes. The airlines can thus recommend proactive maintenance activities of airplanes.
In another example, a global maritime company reduced the need for service personnel on board, improved troubleshooting and increased safety with the help of a collaboration platform. This platform provides customers with improved decision-making and support.
The mechanics of deriving analytics from the Internet of Things can be simplified into three basic steps:
collect data from machines
send data to a central storage location
analyze information and achieve real-time insights
However, accomplishing these steps is not easy. This is at the heart of where IIoT challenges lie.
However, technical hurdles arise often arise while moving big data:
-The bandwidth available for moving large volumes of data through the internet may not be sufficient
-To gather valuable business insights, organizations must have adequate tools for real-time data replication
-Solutions that support data processing and bi-directional replication are required to leverage the information derived from complex industrial networks
These hurdles feel overwhelming and can cause a huge bottleneck.
Attunity can help organizations harness the power of the Industrial Internet of Things. Using Attunity data loading or replication within an ELT model, organizations can achieve real-time analytics for better decision making. Organizations can achieve greater efficiency, better productivity, and a 360-degree view of operations for significant competitive advantage.
Attunity can help organizations harness the power of the Industrial Internet of Things. Using Attunity data loading or replication within an ELT model, organizations can achieve real-time analytics for better decision making. Organizations can achieve greater efficiency, better productivity, and a 360-degree view of operations for significant competitive advantage.