Discuss  how three other types of businesses can make use of data analytics to provide a more targeted service for South Africans

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Discuss  how three other types of businesses can make use of data analytics to provide a more targeted service for South Africans.
    

Netflix has been determined to be able to predict exactly what its customers will enjoy watching
using Big Data. As such, Big Data analytics is the fuel that fires the 'recommendation engine'
designed to serve this purpose. More recently, Netflix started positioning itself as a content
creator, not just a distribution method.
Transcribed Image Text:Netflix has been determined to be able to predict exactly what its customers will enjoy watching using Big Data. As such, Big Data analytics is the fuel that fires the 'recommendation engine' designed to serve this purpose. More recently, Netflix started positioning itself as a content creator, not just a distribution method.
Unsurprisingly, this strategy has been firmly driven by data. Netflix's recommendation engines and
new content decisions are fed by data points such as what titles customers watch, how often
playback stopped, ratings are given, etc. Netflix shows us that knowing exactly what customers
want is easy to understand if the companies just don't go with the assumptions and make
decisions based on Big Data. One of the best ways to explain the benefits of data science to people
who don't quite grasp the industry is by using Netflix-focused examples. Netflix is a customer-
focused, data-driven business.
If you watch The Fast and The Furious on Friday night, Netflix will likely serve up a Mark Wahlberg
movie among your personalised recommendations for Saturday night. This is due to data science.
But did you know that the company also uses its data insights to inform the way it buys, licenses,
and creates new content? House of Cards and Orange is the New Black are two examples of how
the company leveraged big data to understand its subscribers and cater to their needs. The
company's most-watched shows are generated from recommendations, which in turn foster
consumer engagement and loyalty.
Transcribed Image Text:Unsurprisingly, this strategy has been firmly driven by data. Netflix's recommendation engines and new content decisions are fed by data points such as what titles customers watch, how often playback stopped, ratings are given, etc. Netflix shows us that knowing exactly what customers want is easy to understand if the companies just don't go with the assumptions and make decisions based on Big Data. One of the best ways to explain the benefits of data science to people who don't quite grasp the industry is by using Netflix-focused examples. Netflix is a customer- focused, data-driven business. If you watch The Fast and The Furious on Friday night, Netflix will likely serve up a Mark Wahlberg movie among your personalised recommendations for Saturday night. This is due to data science. But did you know that the company also uses its data insights to inform the way it buys, licenses, and creates new content? House of Cards and Orange is the New Black are two examples of how the company leveraged big data to understand its subscribers and cater to their needs. The company's most-watched shows are generated from recommendations, which in turn foster consumer engagement and loyalty.
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