TED: How to use data to make a hit TV show | Sebastian Wernicke

The video discusses the challenges and strategies of selecting successful TV shows using data analysis, comparing Amazon's and Netflix's approaches. Roy Price of Amazon Studios used a data-driven competition to select 'Alpha House', which resulted in an average show. In contrast, Netflix's Ted Sarandos used existing viewer data to create 'House of Cards', a highly successful series. The video highlights the limitations of relying solely on data for decision-making, emphasizing the importance of human expertise and risk-taking. It also warns of the broader implications of data-driven decisions in other fields.

Who is Roy Price and what is his role at Amazon Studios?

What was the main challenge Roy Price faced in selecting TV shows?

Describe the method Roy Price used to evaluate potential TV shows.

What was the outcome of the show 'Alpha House' in terms of its ratings?

How did Ted Sarandos approach data analysis differently from Roy Price?

What was the significance of the show 'House of Cards' in Netflix's strategy?

What pattern did the speaker identify regarding successful decision-making with data?

Explain the role of the brain in decision-making as described in the talk.

What lesson can be learned from the comparison between Amazon and Netflix's use of data?

Discuss the implications of relying solely on data for decision-making.