In 2017, Netflix changed its five-star rating system to a simple thumbs-up, thumbs-down. Now the service was recommending movies based on the match percentage, and people hated it.  How can we reduce all the nuance that lives in cinematic art to a primitive binary reaction? 

In reality, what Netflix found was that people were giving high rates to those movies that they believed were good, not necessarily those they’ve really enjoyed watching. At least that’s what the data said. So how does data analysis work in organizations like Netflix, and what are the roles of data science teams?  

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