Analysis of “What do you do with all this big data” –Ted Talk By Susan Etlinger

1. Analysis of
“What do you do with all this big
data” –Ted Talk By Susan Etlinger
By Darpanraj Deoghare

2. What do we do with all this
Big Data?
Big data has all of these
attributes, although in the past
several years variety has been
most challenging. One example
of this is the variety in social
data: a post can contain
language, images, video,
metadata, or a button (retweet
or share) that also carries a
range of interpretation

3. Big Data for Modern World
 Big data can affect most of us, really.
 If we use a smartphone, are
photographed, interact via social media,
buy or sell securities, have a surgical
procedure, we are creating big data.
 In academia, big data offers a new data
set to understand consumer and patient
concerns. How do people talk about
smoking? Addiction? Knee pain? Cancer?
Depression?

4. Insights

5. Insight – No.1
Misinterpreted big data
How to draw real insights? When
you pull 10,000 tweets on the
same topic on two successive
days, you'll see differences in
the results. And that doesn't
even account for analytical and
logical flaws. The outcome could
be misdiagnosis or misallocating
research funds.

6. Insight – No 2 Critical thinking
Skills
 Using big data in a wise manner to earn
and protect trust!!
 So as businesspeople, as consumers, as
patients, as citizens, we have a
responsibility, To spend more time
focusing on our critical thinking skills.
The speaker expresses her concern that
“You can take data, and you can make it
mean anything." But, we have this
opportunity to try to make meaning out
of it ourselves, because frankly, data
doesn't create meaning. We do.

7. Insight – No 2 Critical thinking
Skills – Contd.
The most important thing
we have to do is accept that
big data brings with it a
huge amount of uncertainty.
To mitigate that uncertainty,
we have to reassess the
methodologies we use to
interpret it.

8. Relevance

9. Relevance No 1 Misinterpreted big
data
 How to draw real insights? A
manager could mull over the
following points to better
understand the data:
• How open ended is the inquiry?
• How structured is the data?
• Do we have a hypothesis?
• Are we looking at a limited or broad
number of variables?

10. Relevance for Managers
Managers need to hire effective
employees for analysing data.
 It is not just about hiring but about
hiring right analyst who brings
meaning to organisation’s data in
order to elevate it to next higher
level by figuring its trends and
predicting its future

11. Relevance No 2 Critical
thinking Skills:
 Using big data in a wise manner to earn and
protect trust!!
 A manager must understand that so much of
unstructured big data comes from human
expression, so we need disciplines such as
linguistics, ethics, rhetoric, sociology,
anthropology as well.
 The speaker expresses that “Facts are stupid
things. And they're vulnerable to misuse,
willful or otherwise. “
 A manager needs to keep in mind various
other aspects apart from facts and figures,
which are often misleading.

12. Relevance for Managers
Managers need to consider
all possible metrics to lead a
successful organisation.
Managers need to critically
think all metrics without
ignoring the stubborn facts
of fewer metrics which
efficiently help in preventing
the downfall of the
organisation.

13. Summary
 The twin challenges of insight and trust
will occupy the Data Scientists, engineers,
analysts, linguistics, lawyers and of course
the public for many years to come.
 To derive the insight from the data while
protecting and sustaining trust with
communities, organizations must deeply
think about how they source and analyse
it and clarify and communicate their roles
as stewards of increasing revealing
information.

14. Submitted for Internship
"Data Analytics " under
Professor Sameer Mathur ,
IIML
By, Darpanraj Deoghare

15. Summary – Contd.
 This is only the first step,
but a critical one if we are
to derive sustainable
advantage from data, big
and small.

16. Thank You