Like Netflix, you can use big data to ensure content delivered is influenced by the user’s personal activity and interaction

How Netflix uses big data to create content and enhance user experience

Netflix focuses on giving each user just what the user wants through a personalized content ranker that organizes each Netflix user’s collection based on personal information collected about the user.

"How Netflix uses data to enhance the user experience When it comes to gathering data, Netflix’s huge user base of over 148 million subscribers gives it a massive advantage. It then focuses on the following metrics:

•   Date content was watched
•   The device on which the content was watched
•   How the nature of the content watched varied based on the device
•   Searches on its platform
•   Portions of content that got re-watched
•   Whether content was paused
•   User location data
•   Time of the day and week in which content was watched and how it influences the kind of content watched
•   Metadata from third parties like Nielsen
•   Social media data from Facebook and Twitter

Once data has been gathered, Netflix uses this data in a lot of ways. One of the most important uses is formulating and validating original programming ideas, as discussed in the above House of Cards example. Arguably more significant is the manner in which Netflix has mastered effective use of data to get people to engage with its content. Netflix is so good at targeted content promotion that an estimated 80 percent of content streamed on its platform is influenced by its recommendation system."