1. The document discusses insights from an article on data analytics leadership. It emphasizes that thinking skills are more important than just technical skills in data analytics. 2. It also notes that just thinking is not enough - one must be able to implement ideas. Developing a culture where people can't get away with just thinking and must know how to implement is a challenge for managers. 3. A manager needs both strong thinking abilities to properly analyze and understand data generation processes, as well as a working knowledge of data science to confidently lead analytics efforts and produce better results.

1. Interesting Insights From
The Article: A Leader’s
Guide to Data Analytics

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. 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.

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.

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. 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.
10

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.

15. Presented By:-
Sahil Kumar
IEM Kolkata