Streaming, Sharing, Stealing: Big Data and the Future of Entertainment (MIT Press)

Michael Smith

  • 出版商: MIT
  • 出版日期: 2017-08-25
  • 售價: $940
  • 貴賓價: 9.5$893
  • 語言: 英文
  • 頁數: 228
  • 裝訂: Paperback
  • ISBN: 0262534525
  • ISBN-13: 9780262534529
  • 相關分類: 大數據 Big-data
  • 無法訂購

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商品描述

"[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 that nothing much has changed." -- The Wall Street Journal

"Packed with examples, from the nimble-footed who reacted quickly to adapt their businesses, to laggards who lost empires." -- Financial Times

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.

商品描述(中文翻譯)

「[作者們解釋] 細膩而堅定地闡述了互聯網如何威脅傳統方式,以及對此可以做些什麼和不能做些什麼。這本書對於任何希望相信沒有太多改變的人來說,都是必讀的。」──《華爾街日報》

「充滿了例子,從迅速反應並調整業務的靈活者,到失去帝國的落後者。」──《金融時報》

傳統的電視節目一直遵循相同的劇本:高層批准試播集,訂購一定數量的集數,並在特定時間每週在電視上播放,期望觀眾按時收看。但是,然後來了 Netflix 的《紙牌屋》。Netflix 根據收集到的訂閱者偏好數據評估了該節目的潛力,沒有看過試播集就訂購了兩季,並一次性上傳了前十三集,供觀眾在他們選擇的設備上隨時觀看。

在這本書中,娛樂分析專家 Michael Smith 和 Rahul Telang 展示了《紙牌屋》的成功如何顛覆了電影和電視行業,以及亞馬遜和蘋果等公司如何在其他娛樂行業(尤其是出版和音樂)改變規則。我們正處於娛樂行業受到前所未有的技術破壞的時期。幾乎一切都受到影響:定價、製作、分發、盜版。Smith 和 Telang 討論了利基產品和長尾效應、產品差異化、價格歧視以及用戶不偷竊內容的激勵措施。為了生存和成功,企業必須迅速而有創意地適應。Smith 和 Telang 解釋了如何做到這一點。

公司如何發現他們的客戶是誰,他們想要什麼,以及他們願意為此支付多少錢?數據。娛樂行業必須學會一點「金錢球」。底線是:跟隨數據。」