07/18/2016
Smith and Telang examine the market structures and competitive strengths and weaknesses of traditional book publishers, recording labels, and movie studios in light of challenges from industry disrupters. They argue that “a converging set of technological and economic changes” are “threatening to shift the foundations of power and profit in these important industries.” The fact that the threat has already manifested gives the book a feeling of old news, and the authors’ prescription—that traditional megacorporations should run their businesses more like Amazon, iTunes, and Netflix—is likely to be viewed as distasteful medicine by a patient who’s not convinced he’s ill. Examples and case studies include sheet music, rock ’n’ roll, Netflix’s House of Cards, e-books, Microsoft’s Encarta encyclopedia, Hulu, and the 2004 standoff between Amazon and Melville House. While illustrative, these and other examples mostly feature technology companies’ wins at the expense of traditional companies. The book’s example of a success story among traditional companies—casino giant Harrah’s Entertainment—comes from outside the creative industries. Readers would be better served by a more balanced and updated view of traditional industries’ problems and possible solutions to them. (Sept.)
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.
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.

Streaming, Sharing, Stealing: Big Data and the Future of Entertainment

Streaming, Sharing, Stealing: Big Data and the Future of Entertainment
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Product Details
BN ID: | 2940169845297 |
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Publisher: | Brilliance Audio |
Publication date: | 12/06/2016 |
Edition description: | Unabridged |
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