X

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

Product ID : 30907847


Galleon Product ID 30907847
Model
Manufacturer
Shipping Dimension Unknown Dimensions
I think this is wrong?
-
1,583

*Price and Stocks may change without prior notice
*Packaging of actual item may differ from photo shown

Pay with

About Streaming, Sharing, Stealing: Big Data And The

Product 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 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. Review [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 Review Streaming, Sharing, Stealing examines the rise of data-driven marketing and the ability of artists to control content creation and distribution, which is completely disrupting entertainment industry norms. A must-read for any content creator.― David A. Bossert, producer and creative director at The Walt Disney Studios About the Author Michael D. Smith is Professor of Information Systems and Marketing at Carnegie Mellon University's Heinz College. He is Codirector (with Rahul Telang) of the Initiative for Digital Entertainment Analytics (IDEA) at Carnegie Mellon. Rahul Telang is Professor of Information Systems and Management at Carnegie Mellon University's Heinz College. He is Codirector (with Michael D. Smith) of the Initiative for Digital Entertainment Analytics (IDEA) at Carnegie Mellon.