Sign In
Not register? Register Now!
Pages:
2 pages/β‰ˆ550 words
Sources:
1 Source
Style:
Other
Subject:
Business & Marketing
Type:
Essay
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 9.72
Topic:

A Case of Netflix

Essay Instructions:

Provide a DS report for a company of your choice. The report should include the following: - What is the main business of the company? Include a link to the company’s webpage. - What is the data that the company collects to support their business processes? You may use information from the company’s webpage, reports, or data on other companies in the focal company’s category. - Suggest two business questions/opportunities that the company can address using supervised predictive models. Explain why the questions are important and how they may improve the company’s performance. Elaborate on the appropriate evaluation method(s) for each question. - Suggest one business questions/opportunity that the company can address using a clustering model. Explain why the question is important and how it may improve the company’s performance.

Essay Sample Content Preview:

A Case of Netflix
           Netflix is a United States multinational entertainment company that has been operational since 1997. It is a subscription online streaming entertainment service that offers television series, mobile games, documentaries, and films to its subscribers in over thirty languages (Netflix, n.d.). The link to its official website is https://about.netflix.com/en.
Netflix mainly drives insight from the data it collects about its subscribers. It uses data to create predictions, metrics, and insights that are useful to its decision-makers (Netflix Research, n.d.). Netflix collects data such as user names and other personal identifiers provided by the user, as well as information about preferences and ratings/reviews shared by the user (Netflix, 2022). Netflix also collects data such as user activity on the Netflix service, user interaction and engagement with Netflix messages, and user search queries and watch history. It also obtains data from other sources such as payment service providers, publicly-available information on social media, security and data providers, as well as third-party providers (Netflix, 2022). All this data is instrumental in supporting Netflix's decision-making and business processes. This data provides localized and personalized content to Netflix subscribers (Netflix, 2022). It relies on machine learning to predict what users want and enjoy.
One of the questions that Netflix can address using supervised predictive models is how to constantly improve the quality of its content and user experience to match subscribers' ever-changing preferences and tastes. According to Ahmad et al. (2022), supervised machine learning can help streaming companies train supervised predictive model that monitors the quality of content and user experience based on user-perceived quality. Netflix can use a supervised predictive model to predict poor quality content based on their subscribers' data, such as reviews or ratings. Another question that Netflix can address using supervised predictive models is how to incorporate advertisements on its streaming services without annoying subscribers. I...
Updated on
Get the Whole Paper!
Not exactly what you need?
Do you need a custom essay? Order right now:

πŸ‘€ Other Visitors are Viewing These Other Essay Samples:

HIRE A WRITER FROM $11.95 / PAGE
ORDER WITH 15% DISCOUNT!