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HOW TO USE DATA TO MAKE
HIT TV SHOW
-SIDHARTH RAJ AGARWAL
We live in a time where we are turning to Data more
and more,
to make very serious decisions and if Data Analysis
does not work that way it is required, then it actually
gets scary
EXAMPLE
Here we will discuss two big names in the
field of TV shows streaming all across the
world.
=
No one gives a $%#@Roy Price
AMAZON PRIME
=
Ted Sarandos
NETFLIX
Top 2% of TV shows
IMDB TV SERIES RATING CURVE
Dataset-2500 TV
shows
X-axis-Rating
Distribution of
different TV shows
from 1-10
And the Y-axis
denotes the
number of shows
that lie in that
Rating Range
Average: 7.5
HOUSE OF CA
ALPHA HOUSE
House of Cards was amongst top 2% of
the 2500 TV shows and was in limelight
while Alpha House could barely manage
a rating just above the average.
REASON OF FAILURE
IN SPITE OF HAVING
ALMOST SAME DATA
FIRST INSIGHT
‣When we are studying some data we first break it into Bits &
Pieces so that we can take decisions on that data through
Data Analysis.
‣After studying that Data we put back the Bits and Pieces
together through the same tool of Data Analytics and then
draw conclusions from it.
WE HAVE BEEN DOING
SOMETHING WRONG
The most crucial part of the analysis is that tool of Data has to
be used only till first part.
The putting of pieces back together has to be done by a
more powerful tool i.e Brain
Brains can do a lot beyond our imagination and that too of
an Expert can draw some fruitful conclusions
SECOND INSIGHT
To get good results one
also need to take some
substantial risks
In the end , it’s not Data, its risks that will land you on the
right end of the curve
RELEVANCE TO MANAGERS
‣ Managers need to know that even after employing the best
Data Analysts in the world, at the end its their intellectuality
which will lead the Company to a good solution that will yield
them huge Profits.
‣ Managers also need to learn the importance of Risk
management as good risk takers can only survive in the stormy
ocean of Corporate World
BIBLIOGRAPHY
Websites:
‣ https://www.ted.com/talks/
sebastian_wernicke_how_to_use_data_to_make_a_hit_tv_show#t-5
86582
‣ http://letstalkdata.com/2013/02/imdb-television-series-data/
‣ http://www.imdb.com
THANKS

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How to use data to make hit tv show

  • 1. HOW TO USE DATA TO MAKE HIT TV SHOW -SIDHARTH RAJ AGARWAL
  • 2. We live in a time where we are turning to Data more and more, to make very serious decisions and if Data Analysis does not work that way it is required, then it actually gets scary
  • 3. EXAMPLE Here we will discuss two big names in the field of TV shows streaming all across the world.
  • 4. = No one gives a $%#@Roy Price AMAZON PRIME
  • 6. IMDB TV SERIES RATING CURVE Dataset-2500 TV shows X-axis-Rating Distribution of different TV shows from 1-10 And the Y-axis denotes the number of shows that lie in that Rating Range Average: 7.5 HOUSE OF CA ALPHA HOUSE
  • 7. House of Cards was amongst top 2% of the 2500 TV shows and was in limelight while Alpha House could barely manage a rating just above the average.
  • 8. REASON OF FAILURE IN SPITE OF HAVING ALMOST SAME DATA
  • 9. FIRST INSIGHT ‣When we are studying some data we first break it into Bits & Pieces so that we can take decisions on that data through Data Analysis. ‣After studying that Data we put back the Bits and Pieces together through the same tool of Data Analytics and then draw conclusions from it.
  • 10. WE HAVE BEEN DOING SOMETHING WRONG The most crucial part of the analysis is that tool of Data has to be used only till first part. The putting of pieces back together has to be done by a more powerful tool i.e Brain Brains can do a lot beyond our imagination and that too of an Expert can draw some fruitful conclusions
  • 11. SECOND INSIGHT To get good results one also need to take some substantial risks
  • 12. In the end , it’s not Data, its risks that will land you on the right end of the curve
  • 13. RELEVANCE TO MANAGERS ‣ Managers need to know that even after employing the best Data Analysts in the world, at the end its their intellectuality which will lead the Company to a good solution that will yield them huge Profits. ‣ Managers also need to learn the importance of Risk management as good risk takers can only survive in the stormy ocean of Corporate World