IoT Analytics from Data to Decision Making - Trends & Challenges
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IoT Analytics from Data
to Decision Making -
Trends & Challenges
Dr. Mazlan Abbas
CEO - favoriot
Email: mazlan@favoriot.com
Keynote SCDS2023 – Jan. 25, 2023
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If you don’t measure…
… You can’t Manage
… You can’t Control
… You can’t Improve
… You lose Money
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Trends in IoT Analytics
“The big goal with low-code no-code analytics is
for anyone to be able to transform data into
insights”
“Low-code, no-code environments are opening up
adoption to companies that don’t have substantial data
scientist skill sets, and manufacturing is one of the industries
that has really adopted IoT and analytics.”
“Analytics and data are no longer the realm of just
the white-collar workers and the blue-collar
workers, it’s starting to be used by people all
across the supply chain.”
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Challenges Your Analytics Tool has to Face
1. Data oversupply
• With the shift to digital, the amounts of data are rising.
2. Cherry-picking to find precious data
• What’s tricky about data analytics is picking the right metrics to follow and
compare.
• It’s easy to get drawn into a sea of numbers or set your tool inappropriately.
• If digits blend in your eyes, maybe you should think about data visualization
like graphs
3. Data protection
• Data gathering and storage are regulated by rules that depend on a
particular country’s laws.
4. Ease of cooperation
• Software systems today are so advanced that it’s hard to imagine a platform
without integrations.
• Exporting data to other applications and sharing them within your team (or
even externally) are critical for an omnichannel solution.
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Why IoT is Now at an Inflection Point?
Cheaper and smaller.
Hardware
Key
Growth
Factors
Ripples of
technologies.
Simple and faster.
Software
Development
Becoming pervasive.
Connectivity
New entrants and players
IoT Ecosystem
Number of transistors double
every 2 years.
Moore’s Law
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What is Society 5.0?
Hunting
Society
Agricultural
Society
Industrial
Society
1.0 3.0
2.0 4.0 5.0
Information
Society
Super Smart
Society
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What is IR 4.0?
IR 1.0
(Manual
With Physical Tools)
IR 2.0
(Electrical)
IR 3.0
(Automation/
Internet)
IR 4.0
(Intelligence)
1.0 3.0
2.0 4.0
(1784) (1870) (1969) (Today)
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I need to
maintain the
quality of my
goods.
Who is the
intruder?
Can I reduce
my electricity
bill?
Am I
healthy?
When is my
next bus?
Where can I
park?
Monitoring of Assets – Typical Everyday
Questions
What IF we can connect ALL these assets and get the answers to ALL these questions?
The Need To Connect Assets and Sense
Environment
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From Data to Wisdom
Raw data Can distinguish data How data is related Synthesize new
knowledge
Judge between
right and wrong
and between good
or bad
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The Value of Insights Increases
Descriptive
Analytics
Diagnostic
Analytics
Predictive
Analytics
Prescriptive
Analytics
What
Happened?
Why did it
happen?
What will
happen?
How can we
make it happen?
Hindsight
Insight
Foresight
Information
Optimisation
Difficulty
Value
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Home Health Transport Office
Waste
IOT Platform – Blending IoT Data
Blending Data - Creating New Compound Applications
IoT Platform
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What Data Need to be Collected for Better
Decision Making
Is it due to heavy rain?
- Which location?
Is it due to rise of sea level?
Is it due rise in river water level?
- Because of silt on riverbed
- Because of blockage at bridge
What exactly
causes
The Flood?
What kind of
sensors and where
to place sensors?
Ask the right
questions? Which
problems to solve?
Example
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IoT Project - What Should You Focus?
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Hardware Connectivity Platform Application/Dashboard
• How to develop
the hardware?
• What sensors to
use?
• What network
to use?
• Which
communication
adapter?
• How to send data to
the Cloud?
• How to manage the
device?
• How to save the data?
• How to create a
dashboard?
• How to create insights?
• How to create smart
application?
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Simple Steps to Start Your IoT Journey
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(1) Sensor (2) Connectivity
(3) Platform
(4) Application
Scan for Free IoT Resources
(Tips, Tutorials and Projects)
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5 (Five) Action Plans
Identify application and collect
data
Collect IoT Data
5
Action Plans
Data Storytelling
Decision Making
To get insights of data
Use Analytics
Become a Digital Leader to
transform your organizations
Digital
Transformation
Areas for improvement
Improve