Neilsen And Uber

1084 words, 5 pages

Intro Sample...


UGBA161

1a. The Nielsen system at the time of the article had many apparent flaws. The first notable flaw was the fact that ratings may have been statistically wrong. The example that The Atlantic Monthly gives is the show Murphy Brown earning a rating of 15 with a standard error of sixth tenths of a ration point in either direction. The article goes on to state that these errors were merely “on paper” and that in the “real world” the degree of error may be even worse. The second big error was tracking actual viewers, especially with “button fatigue”. Many viewers would not click their button to show that they were watching television. They would also forget to/do not choose click the button to show they have left the room at times.... View More »

Body Sample...


The use of streaming services such as Netflix, Hulu, and HBO Go will also make it harder to track what exactly the user is watching, because there is no exact programming data. I see Nielsen having to partner up directly with these providers to see what users are watching for how long. However, this may pose a challenge as these providers themselves, may just sell viewing data directly to networks. This may also be the case for mobile providers as well. Instead of having to go through Nielsen, they maybe able to collect their own data on mobile phones and sell the data off to networks and advertisers. This in turn cuts Nielsen out of a huge pie that seems to be ever growing, while the amount of individuals that watch TV real time on a real TV is likely to decline.

3. Our research group decided to look at Uber because of the different sentiments that have come about recently from different groups. We took to Twitter to read a few tweets about the company’s service. The sentiment seems to be mixed, with some strongly advocating for the service and others flat out bashing the application. The consensus seems to hover around the fact the Uber is convenient yet other points are very conflicting. For example, some individuals talked about how Uber was very safe, while others said just the opposite. Uber sentiment also seems to vary by location.
The positive posts talk about how convenient and easy to use Uber is. They talk about how the price points are better, it solves the drunk driving problem, it has a great rating system and generally has great service. It seems as ...

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