The document summarizes key insights from an article on data analytics for leaders. It discusses two main points: 1) Thinking skills are more important than technical skills in data analytics, as data may not always be genuine and thinking is needed to evaluate the data. 2) Thinking alone is not enough; leaders must also know how to implement insights and create an organizational culture where "thinking" is not sufficient without "knowing" and applying skills. A working knowledge of data science helps leaders implement insights with confidence. Overall, the document argues that a manager with the insights discussed around critical thinking and implementation will be able to achieve better results through data analytics.

1. Interesting Insights From
THE Article: A Leader’s Guide
to Data Analytics
Prince Barai

2. 2
1- Zettelmeyer depicted
beautifully in the article that
how thinking skills are
more important in data
analytics field compared to
just technical skills.s

3. 3
2- Zettelmeyer also
says that just
thinking is not enough
too we should know
about it and be able to
do what we want to
implement.

4. Answer to Question 2:Facts to
backup the Interesting insights that
we got from the article and how
they are relevent to a manager in
india:

5. 5
We Don’t always rely on the data
sometimes we have to think that we
should consider the data or not ,point
explained in depth in further slides

6. “For Point 1:
 Sometimes The data we
have which is depicted as
we got these from
experiments may not be
the result of any
experiment and may be
presented as they were
results of experiment.6

7. In this case our thinking skill will help us to
depict whether the experiment results are
genuine or not otherwise doing analysis on
such data can lead to bad results and
ultimately bad analytics .
7

8. “You have to think about the
generation of data as a strategic
imperative”.
Like all scientific inquiries, analytics
needs to start with a question or
problem in mind.
8

9. The points in the previous
slide tells us that we need to
collect the data in such a
way that it helps us in
solving our business
problem ,we cant just go on
and collect data without
coming up with a structured
plan to collect only the
needful data which again
proves thinking is very
important in data anlaytics.9

10. 10
We cant just go for analysis of any data, understanding the
data generation process is also important
For example, some data reveal that promotional emails are
extremely effective: the more emails a customer receives,
the more purchases he makes. But here it is not shown that
the company uses a marketing wisdom Reader’s Digest hit
upon decades ago, which found that loyal customers—
people who bought more recently, more frequently, and
who spend more on purchases—are more likely to buy
again when they are targeted. So rather than the number of
emails driving the amount of sales, the causality actually
works the other way, the more purchases customers make,
the more emails they receive. Which means that the data
are effectively useless for determining whether email drives
revenue . This again proves thinking is very important
before using technical skills.

11. For Point 2:
Just Thinking is not enough too we
should also know how to implement
what we think.
11

12. There has to be a culture where
you can’t get away with
‘thinking’ as opposed to
‘knowing and developing such
culture in organisations is the
biggest hurdle that a manager
must find ways to overcome.

13. Thus as Zettelmeyer says “A
working knowledge of data
science can help you lead with
confidence”.
13

14. “Thus at the end just want
to say that a manager
whom has the insights
talked about in the
presentation would be able
to produce better results.
14

15. “Thus at the end just want
to say that a manager
whom has the insights
talked about in the
presentation would be able
to produce better results.
15

16. 16
PRESENTED BY:
PRINCE BARAI
DATA ANALYST INTERN AT IIM,LUCKNOW