Data analysis provides insights into audience preferences that can help create successful TV shows and make good business decisions. For example, Game of Thrones analyzed audience demand for fantasy genres as well as reactions to sample episodes. Both Amazon and Netflix released sample episodes to collect data on viewer behaviors like pausing and rewatching. Netflix was more successful because in addition to data analysis, it allowed intuition and risk-taking in decision making. While data provides insights, human judgment is still needed to solve problems and make effective choices.

1. Data analysis and brain

2. Insights:
• The whole presentation revolves around the fact how data analysis can help in
creating great tv shows or make great decisions.
• Game of thrones: How did it become so famous?
• Amazon v/s Netflix
• Data v/s brain

3. How to get a successful idea?
• Analyzing how the idea would work on the target audience.
• Having data collected so that analysis can be made
• Getting into certain decisions
• Executing those decision and taking little risks

4. Game of thrones: How did it become so
famous?
• Demand of fantasy in audience.
• Collection of tweets and feedback from audience
• Checking on the ratings on the sample episode to make sure everything is done
accordingly
• Keep a watch on reactions of the video launched
• Taking little risk and executing the decisions.

5. Amazon v/s Netflix
• Amazon checked on data sets by releasing sample episodes on air and keeping a
close watch over the audience as in how are their reactions.
• What does the audience do with the video?
• How many times they pause, forward, play again, skip video?
• The above makes them analyze what are the requirements of the audience and
what and how they like the content.
• Post numerous collection of millions of data and data crunching amazon gave
into a conclusion and release a tv serial

6. Amazon v/s Netflix
• Netflix on the other hand carried out similar steps.
• It also released sample shows and checked on tweets and comments from the
target audience.
• Huge amounts of collection of data and data crunching was executed.
• Taking risks and executed the decision based on the results of data analysis.

7. Amazon v/s Netflix
• The winner was Netflix.
• The reason being Netflix did everything that Amazon did but there was this one
single thing that Netflix did extra.
• Netflix applied brain intuitions and allowed the brain to come to a decision and
not only the data set.
• Hence taking little risks and allowing the brain take decision brought them
success on their tv show.

8. Data v/s brain
• In the earlier Amazon v/s Netflix example data worked beautifully for one and
didn’t work for the other why?
• Data can definitely give us a clear picture to all our problems but it is just a
method to the result and not the result obtained.
• We need to apply our own instincts to derive into a solution.

9. Data v/s brain
• Data is just bits and pieces.
• Analysing them basically brings back concluding everything back together.
• It is not the data it is the brain that concludes every problem.

10. Conclusion
• Data analytics cannot help in completely solving the issue it only helps in opening
up the problem and analysing the issues.
• A merger of brain and data can bring to a realistic and successful solution.
• Its not data its risks.

11. THANK YOU