Data-Driven Decision Making in TV Production

Data-Driven Decision Making in TV Production

Assessment

Interactive Video

Business, Social Studies, Computers

9th - 12th Grade

Hard

Created by

Emma Peterson

FREE Resource

The video discusses the role of data analysis in decision-making, using examples from Amazon and Netflix. Roy Price of Amazon Studios used data to select TV shows, resulting in the average-rated 'Alpha House'. In contrast, Netflix's Ted Sarandos combined data with expert judgment to create the successful 'House of Cards'. The video highlights the limitations of data analysis and emphasizes the importance of human judgment and risk-taking in achieving exceptional results.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was Roy Price's main responsibility at Amazon Studios?

To manage Amazon's online store

To select original TV content for production

To oversee Amazon's book publishing

To develop Amazon's cloud services

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the outcome of Amazon's data-driven TV show 'Alpha House'?

It became a top-rated show

It was a slightly above average show

It was canceled after one episode

It won several awards

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How did Netflix's approach to data differ from Amazon's?

Netflix ignored data and relied on intuition

Netflix used viewer data to create a competition

Netflix relied solely on data without human input

Netflix analyzed existing viewer data to understand preferences

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What show did Netflix successfully produce using their data strategy?

Alpha House

Game of Thrones

Breaking Bad

House of Cards

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential risk of relying solely on data for decision-making?

Data is only useful in the entertainment industry

Data eliminates the need for human expertise

Data can sometimes lead to suboptimal outcomes

Data always leads to the best decisions

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What example was given to illustrate the failure of data analysis in predicting outcomes?

Amazon's book sales

Google's flu prediction

Netflix's movie recommendations

Apple's product launches

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the key takeaway about decision-making from the conclusion?

Data should always drive decisions

Human expertise and risk-taking are crucial

Decisions should be made randomly

Data is irrelevant in decision-making

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