Feel free to use the slides for a brief intro about analytics from the early adopters like amazon, netflix to today's data-driven era

1. Welcome
To the world of analytics

2. Overview
It is a basic startup course.
And it is made for everybody
Rupak Roy

3. Overview
In this course you don’t have to be a mathematician
or statistician .
The concepts in this course
are very simple with power full
techniques to analyze
hidden insights and patterns.
Rupak Roy

4. Overview
Analytics is everywhere and we see it
everyday.
Let’s start with some interesting
everyday success stories.
Rupak Roy

5. Netflix uses analytics to select Movies, create
content and make multimillion dollar decisions.
Rupak Roy

6. NetFlix
 NetFlix uses algorithm that would improve the
accuracy of predictions about how much
someone is going to enjoy a movie based on their
movie preferences.”
 Netflix’s analytics go only as far as views. They may
also think that the show House of Cards was
chosen because Netflix “thought subscribers might
like it.” But the truth is much, much deeper. The
$100 million show wasn’t green-lighted solely
because it seemed like a good plot. The decision
was based on a number of factors and seemingly
almost entirely on data.
Rupak Roy

7. The reality is that Netflix
is a data-driven
company. Saying that
Netflix chooses new
content based on “whoever
they can get a license with” is
a very thin and vague statement. Netflix does need licenses
from studios, but they don’t just pick movies and television
shows at random.
Rupak Roy

8. Amazon
Its hard to discuss about
analytics success stories
without mentioning amazon.
They are among the early
adopters and are the only
company that have a patent that allows them
to ship goods before an order has even placed.
How about the recommendation that we see in
the side of our amazon page, is also powered
by analytics.
Rupak Roy

9. So what is analytics ?
The systematic computational analysis of
data or statistics or information resulting
from the systematic analysis of data or
statistics.
In simple way, we can say analytics is the
study of the historical data to understand
the pattern and find new insight to predict
the future.
Rupak Roy

10. Sources of data
Literally its everywhere
Internet, you tube, facebook, linkedin ,
GPS, card transactional data etc.
Rupak Roy

11. How much data gets generated
in a minute ?
• Since 2013, the number of Twitter posts
increased 25% to more then 350,000
tweets per minutes.
• Youtube usage has more than tripled in
the last two years with user uploading 400
hours of new video each minute of
everyday.
• Instagram users like 2.5 million posts every
minute!
Rupak Roy

12. How much data gets
generated in a minute ?
 Facebook users also click the like button
on more then 4 million posts every minute
! That is nearly 6 Billion Facebook posts
liked each day !
 Around 4 million Google searches are
conducted worldwide each minute of
everyday .
 Finally, data send and received by mobile
internet users 1500 000TB.
Rupak Roy

13. How much data gets
generated in a minute ?
So the amount of data present in this world
will increase day by day and the need of
analytics to analyze that data.
Rupak Roy

14. Demand of analytics
Analytics is needed in every domain from
 Medical to pharma industries to understand the behavior of the patients
and diseases so that they test it in the lab with higher accuracy before
they implement it in real .
 Finance and banking industries: analytics plays an important part by
analyzing the credit worthiness of their clients
 Telecom: uses analytics to understand the churn rate and provide better
service with minimum cost.
 In Marketing: one can practice measuring, managing and
analyzing marketing performance to maximize its effectiveness and
optimize return on investment (ROI).
 Research and to almost infinity
Rupak Roy

15. Demand of analytics
And it has been declared as
“ The Sexiest Job of the 21st Century “.
Concerned about salary ? It can easily cross 125,000$ and with
1 years of experience

16. Demand of analytics
In LinkedIn itself , an average 400 shortage of analyst
every 12 hours.

17. Recap
What is analytics ?
Where is it used ?
How is it used ?
Where does it come from ?
Rupak Roy

18. THANK YOU.