Streaming, Sharing, Stealing : Big Data and the Future of Entertainment
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| Title: | Streaming, Sharing, Stealing : Big Data and the Future of Entertainment |
|---|---|
| Description: | How big data is transforming the creative industries, and how those industries can use lessons from Netflix, Amazon, and Apple to fight back.“[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 TimesTraditional 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. |
| Authors: | Michael D. Smith, Rahul Telang |
| Resource Type: | eBook. |
| Subjects: | Motion pictures, Streaming technology (Telecommunications), Data transmission systems, Big data |
| Categories: | BUSINESS & ECONOMICS / Industries / Entertainment, COMPUTERS / Data Science / General, TECHNOLOGY & ENGINEERING / Electronics / Digital |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 1354601 RelevancyScore: 1070 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1070.4580078125 |
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| Items | – Name: Title Label: Title Group: Ti Data: Streaming, Sharing, Stealing : Big Data and the Future of Entertainment – Name: Abstract Label: Description Group: Ab Data: How big data is transforming the creative industries, and how those industries can use lessons from Netflix, Amazon, and Apple to fight back.“[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 TimesTraditional 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Michael+D%2E+Smith%22">Michael D. Smith</searchLink><br /><searchLink fieldCode="AR" term="%22Rahul+Telang%22">Rahul Telang</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Motion+pictures%22">Motion pictures</searchLink><br /><searchLink fieldCode="DE" term="%22Streaming+technology+%28Telecommunications%29%22">Streaming technology (Telecommunications)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Industries+%2F+Entertainment%22">BUSINESS & ECONOMICS / Industries / Entertainment</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+General%22">COMPUTERS / Data Science / General</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Electronics+%2F+Digital%22">TECHNOLOGY & ENGINEERING / Electronics / Digital</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 384.38 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Motion pictures Type: general – SubjectFull: Streaming technology (Telecommunications) Type: general – SubjectFull: Data transmission systems Type: general – SubjectFull: Big data Type: general Titles: – TitleFull: Streaming, Sharing, Stealing : Big Data and the Future of Entertainment Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Michael D. Smith – PersonEntity: Name: NameFull: Rahul Telang – PersonEntity: Name: NameFull: Michael D. Smith – PersonEntity: Name: NameFull: Rahul Telang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2016 – D: 23 M: 09 Type: profile Y: 2016 Identifiers: – Type: isbn-print Value: 9780262034791 – Type: isbn-print Value: 9780262534529 – Type: isbn-electronic Value: 9780262335881 – Type: isbn-electronic Value: 9780262335898 Titles: – TitleFull: Streaming, Sharing, Stealing : Big Data and the Future of Entertainment Type: main |
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