Big Data in the Field of Entertainment

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The latest buzzword of the IT industry is that Big Data is here. The world generates a humongous amount of data each and every second. Fast technology advances are making analysis of such data a cake-walk. Big Data influences each and every aspect of people’s lives and would continue to grow bigger and better. It is changing the sports and entertainment industry. The industry is driven by fans and their word of mouth. Audience engagement is the key and Big Data is making opportunities for driving engagement and influencing people’s sentiments.

Big Data could definitely be a boon to the entertainment field. It could enhance the profitability of the movies, always a high risk business. The green-lighting of a story, to the selection of cast to the timing of release could be determined. Furthermore, it could help choose the right players for the sporting leagues, allowing talent to win. Leaders in the industry have to coordinate with the leading Big Data startups and visionaries to make new uses and deliver new stories of success.

Hollywood uses Big Data big time. The social media buzz could predict the box office success, more importantly based on movie trends, strategies could be formulated to make certain of favorable movie positioning. Netflix is the best case study of analyzing user behavior. The scope of Big Data collected by the industry and the ability to mine it comprehend what shows, content, movies and music consumers want is big. Searches, reviews, viewing history, ratings are just some of the data sources that help identify audience interest. With the use of insights from Big Data, entertainment companies could understand when customers are most likely to see content and the device they will be using when they view it.

By using Big Data to understand why the customers subscribe and unsubscribe, entertainment organizations could develop the best product and promotional strategies to attract and retain clients. Unstructured sources best handled by big Data apps like email, call detail records and social media sentiment reveal factors that are often overlooked for driving customer interest. Big Data makes possible the understanding of consumption of digital media and entertainment and behavior that could be used together with traditional data demographic for personalized advertising in the right context at the right time, in the right place.

Applications of Big Data help boost and target amid increasingly complex consumption of content behavior. As distribution shifts from physical to digital, increased pressure in sales means tighter margins. Entertainment companies require tools to support revenue planning and forecasting for digital media channels. Finding the secret messages in the data that the audience is broadcasting is key for the industry to outperform peers. The type of data, which really is generated at any point of contact through all channels, allows entertainment and media organizations to understand viewer sentiments. Moreover, it could be used for optimizing multi-channel ad campaigns. Consumers consume media on numerous devices at the same time. Optimizing ad campaigns across several devices would strengthen the message of the commercial. Big Data makes it possible to understand which consumers use a second screen when and where and deliver the right message through the right channel.

About the Author

Ritesh Mehta works as a senior Technical Account Manager in a software development company named TatvaSoft Australia based in Melbourne. He specializes in Agile Scrum methodology, Marketing Ops (MRM) application development, SAAS & SOA application development, Offshore & Vendor team management. Also, he is knowledgeable and well-experienced in conducting business analysis, product development, team management and client relationship management. 


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