Paradigm Shift Awaits Entertainment Industry

If you have already visited our site, or read anything anywhere about the entertainment industry and big data over the last few years, the idea that a paradigm shift awaits entertainment won’t be any surprise. The idea of planning broadcast schedules of entertainment content based on prior analysis of historical audience reaction will soon be over…at least for those companies that want to survive the evolving paradigm.

The industry will continue its fundamental change as it morphs from a ‘push’ model – pushing its content to the audience – to a ‘pull’ model. Instead of pushing content to the audience it thinks it should like, it will pull the audience to the content the audience has already indicated it wants over The Digital Channel by doing the same thing they have been doing for years. For entertainment content creators, this is a fundamental change in the way content will be produced.

Having an understanding of what will drive media and entertainment companies to determine what content to produce and distribute will be beneficial for any content creator. In the near term, content creators have to be equipped to describe how your content maps to the audiences in the ways that matter to entertainment specific companies beyond ticket sales or VOD revenues. The “media and entertainment organisations (want to) understand viewers sentiment in real-time…to deliver a personalized TV experience via TV set top boxes or smart TVs, where content is recommended based on the user’s profile” according to Mark van Rijmenam, the author of a recent article about big data and the entertainment industry, and founder of BigData-Startups.com. No, the paradigm isn’t slick software that analyzes a feature film script by comparing to past success and fail algorithms (Read “Will Your Stories Matter if Big Data Decides“)…think bigger.

Think of the entertainment industry becoming the largest social network on the planet. It’s already monitoring the likes and pluses, tweets and mentions across all sources of available data. It is already gathering social profiles, ages, where audience members are in their work paths and much more. All of which can be used to refine what content will appeal to which segments well in advance of actually producing the content. Considering the entertainment industry is expected to reach $1.4 Trillion globally by 2015, the development of such network protocols will continue to create new ways for creating and distributing entertainment content.

Read the entire July 2013 article on BigData-Startups.com by Mark van Rijmenam, its founder.

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