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How to use data to
make a hit TV show
by Sebastian Wernicke
Data is helpful for making any decisions.In
this we’ll know how to use data to make a
hit TV show.
There are many TV shows that are
average but how to choose a TV show that
is better than that?
#1 Insight
There is actually some evidence that
this data analysis, despite having lots of
data, does not always produce optimum
results.
Roy Price conducted competitions to
select a TV show and collected millions of
data points on how people reacted during
the video
The show that he selected was only an
average , which obviously he did not aim
for.
The other team went about differently,
After knowing all the data they took a
decision to take up a project based on the
stats – a leap of faith.
And that project was a hit.
They connected all of these millions of
data points, and then it works beautifully
for one of them, and it doesn't work for
the other one.
#2 Insight
in fact, that even in the face of
huge amounts of data, it still pays
off to make decisions, to be an
expert in what you're doing and
take risks.
Because in the end, it's not data, it's risks
that will land you on the right end of the
curve.
They use data to first understand lots of
pieces about their audience that they
otherwise wouldn't have been able to
understand at that depth, but then the
decision to take all these bits and pieces
After knowing about different aspects
of data in bits ad pieces, Use your
brain to put them back together and
make a decision.
If there's one thing a brain is good
at, it's taking bits and pieces back
together again, even when you have
incomplete information, and coming to
a good conclusion, especially if it's the
brain of an expert.
THANK-YOU
Submitted for internship “Data Analytics”
under professor Sameer Mathur, IIML
By
S Sheshasai Venkatesh
Vasavi college of engineering

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How to use data to make a hit

  • 1. How to use data to make a hit TV show by Sebastian Wernicke
  • 2. Data is helpful for making any decisions.In this we’ll know how to use data to make a hit TV show.
  • 3. There are many TV shows that are average but how to choose a TV show that is better than that?
  • 4. #1 Insight There is actually some evidence that this data analysis, despite having lots of data, does not always produce optimum results.
  • 5. Roy Price conducted competitions to select a TV show and collected millions of data points on how people reacted during the video
  • 6. The show that he selected was only an average , which obviously he did not aim for.
  • 7. The other team went about differently, After knowing all the data they took a decision to take up a project based on the stats – a leap of faith. And that project was a hit.
  • 8. They connected all of these millions of data points, and then it works beautifully for one of them, and it doesn't work for the other one.
  • 9. #2 Insight in fact, that even in the face of huge amounts of data, it still pays off to make decisions, to be an expert in what you're doing and take risks.
  • 10. Because in the end, it's not data, it's risks that will land you on the right end of the curve.
  • 11. They use data to first understand lots of pieces about their audience that they otherwise wouldn't have been able to understand at that depth, but then the decision to take all these bits and pieces
  • 12. After knowing about different aspects of data in bits ad pieces, Use your brain to put them back together and make a decision.
  • 13. If there's one thing a brain is good at, it's taking bits and pieces back together again, even when you have incomplete information, and coming to a good conclusion, especially if it's the brain of an expert.
  • 15. Submitted for internship “Data Analytics” under professor Sameer Mathur, IIML By S Sheshasai Venkatesh Vasavi college of engineering