This document discusses how data has increased dramatically in the 21st century and presents some key insights: - Data alone has no meaning and needs proper interpretation to be useful and avoid harmful inferences. - Data scientists should not follow numbers blindly but must take time to interpret data in context to avoid bad decisions from false correlations or personal biases. - Learning social sciences can help provide important context for properly analyzing and understanding data to have big positive impact and avoid arbitrary interpretations.

1. How to handle
your data?

2. Hello!
I am Rohit Kar
I am an Electrical Engineering Student
You can find me at rohit.kar96@gmail.com
2

3. Information
has Blown up
in the 21st
century
3

4. Information
has Blown up
in the 21st
century
4

5. Key Insights
Data is
stupid!!
5
We are naive
if we take
data at face
value!!

6. Big concept
Bring the attention of your audience over a key
concept using icons or illustrations
6

7. The data we have right now is in
all forms of communication;
text, video, audio. All these
forms are just numbers in a
matrix and makes no sense by
itself.
Numbers can’t
stand alone!!
7

8. Don’t be blind!!
× Data Scientist should not follow the numbers
blindly.
× The numbers do not have any meaning by itself.
× Our interpretation gives it meaning.
× Wrong interpretations can lead to wrong
inferences, potentially harmful.
× Just because one thing follows another, does not
necessarily mean it is caused by it.
8

9. “Post hoc ergo propter hoc”
9

10. How are these
helpful to
managers?
× We have more processing
power we have ever had.
× Leading to bad decisions
quickly and more efficiently
with greater impact.
× Data should not be followed
blindly
× We should take time to
interpret and give proper
context to the data at hand!! 10

11. Want big impact?
Use big image.
11

12. Social Sciences to
the rescue.
12
● Devote time to learn the social science.
● Philosophy, psychology, ethics, sociology.
● This guides us into giving context to the data.
● Arbitrary interpretation is harmful.
One question we should always ask
ourselves!!!!

13. Does the data
really show us this
or are we biased??
13

14. We should train ourselves
to find those confirmation
biases and false
correlations.
14

15. Closing off
15
● We face a sea of irrelevance
● Very crucial we do not get caught up in our
personal biases
● We should employ our critical thinking and
distinguish between the true hypothesis and
false correlations
Critical thinking must be respected!!!

16. Thanks!
16