With millions of digital consumers, media and entertainment industries are in unique position to leverage big data for better customer engagement. We have seen a rising trend of using big data in the entertainment industry to create media content such as TV series and music that are based on data gathered from successful ones, audience feedback and reviews.
In the age of the connected consumer, audience response from multiple sources can help entertainment industry to deliver right content to the audience. Subsequently, each target audience contributes to increased revenue for video publishers, media owners, cable companies, gaming companies, TV channels from consumers and advertisers, and overall viewer market share.
Here are some of the big data use cases in entertainment industry:
Predict Audience Interests
Big data and advanced analytics can predict audience interests that give a deeper insight into audience behavior and helps entertainment industry to deliver content that is closely aligned to their viewing preferences.
Analyze Customer Churn
With big data tools it is now possible to combine data from social media, surveys, reviews, customer service calls and find why customers subscribe and unsubscribe programs they like and dislike with clear clarity.
Content Monetization
Big data helps to create targeted and personalized campaigns that ultimately save money and increase efficiency by targeting the right people with the right product.
Effective Campaign and Ad targeting:
Entertainment industry need to analyze all structured and unstructured data (customer reviews, emails, calls, social media profiles, forum, online interactions etc.) and accordingly respond with right products and services, and, this is the key to customer retention.
DataKare Solutions has expertise to help organizations in Media and entertainment industries to build a solid data platform using big data and NOSQL tools for advanced analytics, data mining, predictive modeling and real time monitoring. DataKare Spark Apache Scala API can effectively standardize, streamline your customer and media data to develop actionable insights, improve outcomes and increase value.
