2. Hello!
I am Rohit Kar
I am an Electrical Engineering Student
You can find me at rohit.kar96@gmail.com
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3. Why we should
make data more
human?
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Data is not supposed to be only for data
scientists. Data should make meaning to
anyone. Just like people should be able
to use computers without being a
programmer.
5. Why we should love
statistics?
▫ Statistics doesn’t require
anything to be memorized!
▫ Statistics is very well
connected to all the branches
of science. If you have data,
you need Statistics. If you have
uncertainty, you need
Statistics.
▫ Conclusions are drawn from
prior observations.
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6. 6
TWO KEY INSIGHTS
Putting context into data
Makes it more
meaningful.
Visualizing data in fun and
Creative ways can make data
More relatable.
7. WHAT DOES THIS
ACHIEVE
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Creates empathy for the people
Involved in these systems.
Creates a fundamental respect for the
People involved and treat them as persons
And not as numbers. Realizing that those
are attached to the real world.
8. Easy interpretation of
complex data
Advantages of making data more human
Better product design and
efficient marketing.
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10. Adding Context
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Instead of looking at data as numbers they can
add a context to the data and try to understand
how this is attached to the real world. They
can better serve the customers if they know
what the numbers actually mean to the person
in the real world. Leading to better product
design.
11. 11
Visualization
By being able to visualizing data in fun and
creative ways, managers can better
understand the implications of the data. They
can connect with the customer more
intimately, which is crucial for a business.
12. 12
Marketing Once the managers understand what value the
data holds for the person, they can better
market the product, targeting the needs of the
customers. They can make a more
personalized experience for the customer and
connect with them on a personal level.
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BRIEF OVERVIEW
Humanizing data is very important. The data is not just
numbers. They hold value to the people from whom the
data is derived. Understanding the value and adding
context to the data helps industries and companies make
better products and services.