This document discusses how Netflix has used big data to drive its on-demand streaming content and culture. It details how Netflix collects data on over 30 million daily video plays, 4 million daily user ratings, and 3 million daily searches. Netflix analyzes details like user location, device used, when and how often content is watched, and social media information. This data helped Netflix determine House of Cards would be a hit show, leading to a $31.8 million profit increase. The document also briefly mentions the end of video stores, Netflix surpassing HBO, and its original programming and privacy policies.

1. Building on a House of Cards:
On-Demand Culture and Big Data
Chuck Tryon
Fayetteville State University

2. The End of the Video Store

3. Netflix Surpasses HBO

4. Amazon Original Programming

5. Platform Mobility and Family Harmony

6. Binge Viewing and Netflix

7. House of Cards as Data-Driven
Programming
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Correlation between
fans of Kevin Spacey,
David Fincher, and
British TV series (1990).
Most-watched piece of
content on Netflix’s
streaming service
Contributed to $31.8m
increase in quarterly
profits

8. Netflix Data Analysis
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30 million-plus “plays” per day
4 million user ratings per day
3 million searches per day
Geographic location and device used to view content
The time and day of week content was viewed
Social media information on Twitter and Facebook
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--source, Derrick Harris, GigaOM

9. Netflix and Privacy
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Video Privacy
Protection Act (Bork’s
Law)
Netflix Contest lawsuit
(2010)

10. Building on a House of Cards:
Big Data and On-Demand Culture
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Email: chutry@msn.com
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Website: http://chutry.wordherders.net/wp