『Streaming, Sharing, Stealing』のカバーアート

Streaming, Sharing, Stealing

Big Data and the Future of Entertainment

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Streaming, Sharing, Stealing

著者: Michael D. Smith, Rahul Telang
ナレーター: Timothy Andrés Pabon
タイトルを¥1,919で購入し、 プレミアムプランに登録する ¥1,820で会員登録し購入

期間限定:2026年1月29日(日本時間)に終了

30日間の無料体験後は月額¥1500で自動更新します。いつでも退会できます。

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¥2,600 で購入

概要

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 - and 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. The entertainment industries, must learn to play a little "moneyball." The bottom line: follow the data.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2016 Massachusetts Institute of Technology. (P)2016 Brilliance Audio, all rights reserved.
エンターテインメント・舞台芸術 データサイエンス ビジネス分野 工学 社会科学 電気・電子工学
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