Hollywood and Data

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Data and Analytics: Streaming Platforms

Both Netflix and Hulu deploy advanced algorithms powered by big data and analytics to provide user recommendation in par with user needs. The two streaming platforms have invested in advanced data and predictive analytics solutions to ensure they deliver accurate and personalized recommendations to users. Below are case studies of how both platforms use data and analytics to guide business decisions.

1. NETFLIX USE OF DATA SCIENCE: CASE STUDY

2. HULU USE OF DATA SCIENCE: CASE STUDY

  • Hulu, just like Netflix uses many algorithms to power its recommendations feature for its audience. In 2017, the company started using Amazon Web Services (AWS) to support the addition of over 50 live channels for its Live TV offering.
  • The media streaming giant opted for Amazon’s AWS to run its live TV services because AWS is reliable and secure enough to allow Hulu to deliver an unrivaled viewer experience, even when viewership or traffic spikes.
  • Hulu is using different data science solutions to improve its platforms capability, functionality, and user experience. Among the technologies it deploys is the Video Genome Project it acquired in 2016 to improve recommendations for Live TV and VOD.
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Part
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Data and Analytics: Film Industry

The film industry uses data analytics in many fronts including sensitive decisions about which films to produce, who to cast, the anticipated rate of return, enhancing performance, among other facets. The dominant players in the U.S. movie industry admit that they rely on data analytics, in particular predictive analytics. These players rely on different data sets that they collect using advanced solutions like artificial intelligence and machine learning, among other data and insights extraction approaches.

Type of Data Used

How They Get the Data

How that Data Drives Business Decisions

Sources
Sources