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Streaming, sharing, stealing : big data and the future of entertainment

Author: Michael D Smith; Rahul Telang
Publisher: Cambridge, Massachusetts : MIT Press, [2016]
Edition/Format:  Print book : EnglishView all editions and formats
Summary:
"Traditional network television programming has always followed the same script: executives approve a pilot, order a trial number of episodes, and broadcast them, expecting viewers to watch a given show on their television sets at the same time every week. But then came Netflix's House of Cards. Netflix gauged the show's potential from data it had gathered about subscribers' preferences, ordered two seasons without  Read more...
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Genre/Form: Motion pictures
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Michael D Smith; Rahul Telang
ISBN: 9780262034791 0262034794 9780262534529 0262534525 9780262335881 0262335883
OCLC Number: 946160284
Notes: Includes index.
Description: xi, 215 pages ; 24 cm
Contents: Good times, bad times: House of cards --
Back in time --
For a few dollars more --
The perfect storm --
Changes: Blockbusters and the long tail --
Raised on robbery --
Power to the people --
Revenge of the nerds --
Moneyball --
A new hope: Pride and prejudice --
The show must go on --
Notes --
Index.
Responsibility: Michael D. Smith and Rahul Telang.

Abstract:

How big data is transforming the creative industries, and how those industries can use lessons from Netflix, Amazon, and Apple to fight back.  Read more...

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[The authors explain] gently yet firmly exactly how the internet threatens established ways and what can and cannot be done about it. Their book should be required for anyone who wishes to believe Read more...

 
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Smith<\/span>\n\u00A0\u00A0\u00A0\nschema:author<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/3876903823#Person\/telang_rahul<\/a>> ; # Rahul Telang<\/span>\n\u00A0\u00A0\u00A0\nschema:bookFormat<\/a> bgn:PrintBook<\/a> ;\u00A0\u00A0\u00A0\nschema:datePublished<\/a> \"2016<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"\"Traditional network television programming has always followed the same script: executives approve a pilot, order a trial number of episodes, and broadcast them, expecting viewers to watch a given show on their television sets at the same time every week. But then came Netflix\'s House of Cards. Netflix gauged the show\'s potential from data it had gathered about subscribers\' preferences, ordered two seasons without seeing a pilot, and uploaded the first thirteen episodes all at once for viewers to watch whenever they wanted on the devices of their choice. In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries\u2014and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We\'re living through a period of unprecedented technological disruption in the entertainment industries. Just about everything is affected: pricing, production, distribution, piracy. Smith and Telang discuss niche products and the long tail, product differentiation, price discrimination, and incentives for users not to steal content. To survive and succeed, businesses have to adapt rapidly and creatively. Smith and Telang explain how. How can companies discover who their customers are, what they want, and how much they are willing to pay for it? Data. 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