With so many TV shows out there, it is a very competitive area of responsibility. Roy has to find shows that are incredibly influential and inspiring for the audiences worldwide, keeping up with the brand value of Amazon Web Services. In simple words, he has to prepare shows that are very to nearer to 10 on the scale of 1-10.

2. Reality TV is the new mantra of television producers and channel
executives. The comments from the viewer will be extracted along with
the viewer details such as gender, location, etc…The comments will be
gathered from various sources and the entry will be maintained into
the excel sheet.

3. The excel file will contain peoples name, email id, age, gender, location
and comment. Based on people’s comment and sentiments, the TV
Show popularity will be rated accordingly.

5. How do they choose what shows to create? Well, it depends on the
company. Amazon studios begins by evaluating a whole bunch of
ideas.Amazon Studios analyse where viewers pause videos, where they
skip parts, and whether they watch any parts over again. When
combined, this data is what the company goes by when choosing what
show to make a complete season of.

6. Netflix uses data that they already have. “They looked at all the data
they already had about Netflix viewers, you know, the ratings they give
their shows, the viewing histories, what shows people like, and so on

8. In 2006 Netflix announced
the Netflix Prize, a
competition for creating an
algorithm that would
“substantially improve the
accuracy of predictions
about how much someone is
going to enjoy a movie
based on their movie
preferences

9. 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.

10. Netflix has 117.58 million worldwide streaming customers. Having this
large user base allows Netflix to gather a tremendous amount of data.
With this data, Netflix can make better decisions and ultimately make
users happier with their service.

11. As part of the on-boarding process, Netflix asks new users to rate their
interest in movie genres and rate any movies they’ve already seen.
Why do they do this right up front? Because helping users discover new
movies and TV shows they’ll enjoy is integral to Netflix’s success.

13. By now, you probably can guess that Netflix doesn’t blindly pick which movies to
stream. Licensing movies from studios is expensive, so Netflix uses data to help
them decide. There are only a limited number of movies to license. For example, a
popular new release may not be available immediately, but a year later it might be.
There is a vast number of movies available for Netflix to pick from, just not every
movie available. So Netflix has to find which ones its users will enjoy the most.

14. In Conclusion…
Now you see how Netflix makes informed decisions based on data.
Clearly, data cannot make every decision; there are some situations
where intuition has to take over.In these cases, decisions are heavily
based on the people and team behind the idea of the show. Whether
Netflix can make a successful show like this is yet to be seen.