NETFLIX BIGDATA ANALYTICS-A STUDY ON IMPROVING CUSTOMER EXPERIENCE

Netflix is one of the largest online streaming mediaproviders. It began its operations in 1997.Founded by two tech entrepreneurReed Hastings and Marc Randolph. TheCompany’shead office is in Los Gatos, California. Netflix’s initially started sellingDVDsor provide them on arental basis. Over the period with growth of internet users and the decline of DVD sales and rental services, it changed its business model to video on demand. From 2012 onwards, it started producing its original TV-series and movies.Netflix uses bigdata analytics to understand its customers base better.By using these data, they provide better service or product to the customer. Netflix collects huge amounts of data from a vast variety of subscriber base. It collects data such as the location of a user; content watched by the user,user interests, the data searched by the user,and the time at which user watched.Based on these parameters its algorithm gives a personalized recommendation based on the user interest.Netflix has constantly focused on changing business needs they have moved their business model from DVD rental to video on demand and currently producing original shows. In this paper we analyze various business strategies of Netflix.This paper also analyzes how Netflix with the help of bigdata analytics focused on improving the subscriber’s experience and how it helped to be more customer-centric and increased its user base