How would you include and use nielsen data

Reference no: EM133068676

Learning Activity: Transformation - Nielsen vs. Netflix

This activity follows on from the previous discussion about Netflix and the competitive arena they are now in. Traditional broadcasters would watch their ‘ratings' with bated breath to tell how popular a series might be because great ratings meant ‘more eyeballs' which equated to more advertising revenue. The most renowned company for measuring ratings is Nielsen and Kirst's article gives a very quick overview of how ratings work.

Netflix has always been a data-driven company with algorithms to help their customers with suggestions of viewing they may like. They have also used this data in selecting where and in what series to invest in the production of - think "The Crown" and "Stranger Things". The Alexander's article from The Verge explains how Netflix has used their viewer data to select which series to invest in as Netflix broadens their offering. Atkinson's article gives deeper insights into Netflix's practice. And as a digital company which has offered its consumers the deepest and broadest network ‘agnostic' content, Netflix has data that has never before been available - as such it seemed that Netflix had no need for Nielsen.

However, Kafka's article seems to signal a shift in sentiment at Netflix.

Discuss in your groups why you think Netflix might have had a change of heart - are there good reasons for taking Nielsen data into consideration? Think about how organisations are using data from as many sources as possible to form a data-driven approach.

How would you include and use Nielsen data if you were Netflix what application it would have? Think in terms of descriptive, predictive and prescriptive analytics.

Also, think about what tools you might use to manage this additional data set to gain full value against Netflix's existing data? Be prepared to share your thinking in class.

Reference no: EM133068676

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