Netflix Bigdata Analytics: The Development of Recommendations Based on Data

Abstract

One of the biggest suppliers of internet streaming media is Netflix. In 1997, it started operating. Reed 
Hastings and Marc Randolph, two internet entrepreneurs, founded the company. Los Gatos, California, 
is home to the company's headquarters. At first, Netflix offered DVDs for sale or rental. It switched 
to a video-on-demand business strategy as internet use increased and DVD sales and rental services 
declined. It began making its own TV shows and films in 2012. Netflix employs big data analytics to 
have a deeper understanding of their clientele. They use this data to provide customers better products 
or services. Netflix gathers enormous volumes of data from a wide range of subscribers. It gathers 
information on a user's location, the material they view, their interests, the data they seek, and the time 
they watch. Its system provides a customised suggestion depending on the user's interests based on 
these characteristics. Netflix has shifted its business model from DVD rental to video on demand and 
is presently creating original series as a result of its ongoing emphasis on evolving business demands. 
In this essay, we examine Netflix's several business tactics. This essay also examines how Netflix 
employed big data analytics to enhance the subscriber experience, become more customer-focused, 
and grow its user base. We have offered some recommendations based on the SWOT and PESTLE 
analysis that Netflix might use as part of its business plan.